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Alexa is Amazon's cloud-based voice service available on hundreds of millions of devices from Amazon and third-party device manufacturers. Explore content in this track to learn how you can use Alexa to build more natural voice experiences that offer customers a more intuitive way to interact with the technology they use every day. Learn about Amazon’s collection of tools, APIs, reference solutions, and documentation that make it easier to build for Alexa.
As voice AI becomes increasingly valuable, multifamily property managers need solutions to create and manage voice-enabled experiences at scale across their properties. In this session, learn how to build voice-enabled experiences with Amazon Alexa across residential properties to meet the growing demand for AI technologies.
Every year, the Alexa Skills Kit (ASK) grows in capabilities and features. With more than 130,000 published skills, ASK continues to push forward, making new opportunities for developers who want to build engaging voice experiences with Amazon Alexa. In this session, explore the latest trends in ambient computing, dive deep into some of the most innovative Alexa skills, and hear an overview of releases from the past year, including expansion to Arabic, advancements in Alexa Conversations, and new tools for developers.
Since its founding in 1994, Amazon has continually innovated on behalf of customers to deliver new products, services, and value, answering unmet customer needs. Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. In this track, see how Amazon uses AWS to build with these principles.
In this session, learn about the benefits that Amazon’s ecommerce Datapath platform (which is used by 1,400+ Amazon teams and runs at a scale of millions of TPS) has realized with AWS Graviton. With 25%–40% performance gains across 90,000 Amazon EC2 instances worldwide, the Datapath team is lowering their internal costs with AWS Graviton’s improved price performance. Hear about the software updates that were needed and the testing approach that was used to optimize and validate the deployments. Finally, learn about the migration approach that the Datapath team used for their production deployment.
Data volumes are increasing at an unprecedented rate, expanding to terabytes or even exabytes of data. As a result, organizations are taking their data from silos into a single location, a data lake, to do analytics and machine learning. In the Analytics track, learn how AWS provides the broadest portfolio of services optimized for your unique data analytics needs. Also, learn how AWS enables organizations of all sizes to reinvent their businesses with data. From data movement, data storage, data lakes, big data analytics, machine learning, and anything in between, AWS offers purpose-built services and is committed to providing the best price-performance, scalability, and lowest cost across all analytics services.
Access to all your data for fast analytics at scale is foundational for 360-degree projects involving data engineers, database developers, data analysts, data scientists, BI professionals, and the line of business. In this session, learn how easy-to-use ML can help your organization imagine new products or services, transform your customer experiences, streamline your business operations, and improve your decision-making. A secure, integrated platform that’s easy to use and supports nonproprietary data formats can improve collaboration through data sharing and can also improve customer responsiveness. Learn how AWS developer tools, including Data API, and native support for semi-structured data using standard SQL commands can improve software time to market.
Join this session to hear about important new features of Amazon Redshift. Learn about the architectural evolution of Amazon Redshift and how it uses machine learning to create a self-optimizing data warehouse. Additionally, explore how Amazon Redshift integrates with other popular AWS services.
Amazon EMR is the industry-leading big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache Flink, Apache Hudi, and Presto. This session provides a deep dive into Amazon EMR and covers some of the newest features of the service.
Have you ever felt that building data science applications, data engineering pipelines, or machine learning models was hard with Apache Spark on Amazon EMR? Join this workshop to learn how Amazon EMR Studio makes it simple to do these things. The workshop includes a walkthrough of a couple of examples with sample data so you can see how collaboration works with Amazon EMR Studio.
In this workshop, you take on the role of an acting technology manager for a Las Vegas casino. Your assignment is to create a stream processing application that identifies customers entering your casino who have gambled heavily in the past. The application also sends you a text message when big spenders sit down at a gambling table. To do this, use Amazon MSK to capture events, Amazon Kinesis Data Analytics Studio to detect events of interest, and AWS Lambda with Amazon SNS to send a text message to your phone for any events. Good luck!
Amazon Redshift is the most widely deployed data warehouse and is the cornerstone of AWS data lake strategy. Experience how quickly you can build your data warehouse with Amazon Redshift and gain insights using the integrated SQL query editor. In this workshop, data analysts and data scientists can easily train machine learning (ML) models using SQL with Amazon Redshift ML, with zero data movement required. Data engineers can learn how the data API simplifies access and allows you to easily integrate applications with Amazon Redshift and build event-driven applications systems.
Amazon Redshift provides multiple features to help you deliver consistent performance, even as workloads grow and vary. Learn how to use concurrency scaling, data sharing, and more on their own and together to manage your workloads. In this chalk talk, you have the opportunity to ask Amazon Redshift service team experts about your unique situation.
You can take advantage of new Amazon Redshift features—including streaming ingestion, GEV, and more—to enable new cases. Join this chalk talk to hear an overview of these new features and take advantage of the opportunity to ask Amazon Redshift service experts to go deeper into specific questions you have.
The Application Integration track covers a suite of AWS services that make it easier for developers to build reliable, scalable, and event-driven applications by using microservices architecture, an event bus, or a workflow orchestrator to sequence AWS services into business applications. You don’t need to refactor your entire architecture to benefit—decoupling applications at any scale can reduce the impact of changes, making it easier to update and faster to release new features.
An implication of applying the microservices architectural style is that a lot of communication between components is done over the network. In order to achieve the full capabilities of microservices, this communication needs to happen in a loosely coupled manner. In this session, explore some fundamental application integration patterns based on messaging and connect them to real-world use cases in a microservices scenario. Also, learn some of the benefits that asynchronous messaging can have over REST APIs for communication between microservices.
Many users choose to build event-driven application architectures in which subscribers or target services automatically perform in response to events triggered by publisher or source services. This pattern can help development teams operate more independently to release new features faster and make their applications more scalable. This wokshop covers the basics of event-driven design, using examples involving Amazon SNS, Amazon SQS, AWS Lambda, Amazon EventBridge, and more. Learn how to choose the right AWS service for your use case and how to optimize for cost and performance.
RabbitMQ is a widely used message broker for microservices integration and for building distributed, decoupled applications. In this chalk talk, dive deep into the deployment architecture of Amazon MQ for Rabbit MQ, including monitoring and performance tuning and implementing migration/hybrid patterns using federation and shovel plugins.
Learn how to build serverless applications faster with less code using AWS Step Functions Express Workflows. In this chalk talk, learn how to use the visual designer for Step Functions Workflow Studio to quickly design serverless applications, reducing the amount of code written, tested, and maintained. This solution is designed to increase developer productivity and decrease time to market.
Artificial intelligence (AI) and machine learning (ML) help unlock new insights, create efficiencies, develop new revenue streams, and introduce new products. Join the AI and ML track to learn how to apply these techniques to improve user experience, optimize business operations, and accelerate innovation. Builders of all levels can gain valuable insights from AWS experts and customers, see real applications for specific use cases and industries, and dive deep into new and existing AWS AI and ML services. Learn how to apply intelligence to applications for personalized recommendations, document processing, business metrics analysis, and more. For builders who want to dive deeper into each step of the ML lifecycle, explore how Amazon SageMaker provides a complete set of purpose-built tools to build, train, and deploy high-quality ML models faster with much less effort and cost. Also join sessions featuring the AWS learning devices, AWS DeepRacer and AWS DeepComposer, to learn and build.
Amazon SageMaker helps data scientists and machine learning (ML) practitioners build, train, and deploy high-quality ML models by bringing together a broad set of capabilities that are purpose-built for ML. SageMaker offers tools for every step of the ML lifecycle to improve productivity by up to 10 times your baseline, including data labeling, data preparation, feature engineering, statistical bias detection, training, tuning, monitoring, workflows, and human in the loop. In this session, learn how these features work together so that you can get started quickly.
Computer vision helps us augment our capability to understand the visual world around us. This session provides an overview of AWS computer vision services and demonstrates how these pre-trained and customizable machine learning (ML) capabilities can help you get started quickly—no ML expertise required. Learn how to deploy these models onto the device of your choice to run an inference locally or use cloud APIs for your specific computing needs. Also, explore how customers like Shutterstock, Mirror, Tyson, and Persona are using the AWS computer vision edge and cloud models for media analysis, content moderation, and quality inspection.
Learn how organizations worldwide are leveraging intelligent document processing (IDP) to automate manual document-based activities, enabling them to process millions of documents in hours and automating low-value tasks to improve data management and customer satisfaction. In this session, hear from Chevron about how they processed thousands of boxes of documents in seconds in order to audit the critical information locked inside.
Personalizing content for a customer online is key to breaking through the noise. Yet, brands face challenges that often prevent them from providing these seamless, relevant experiences. Learn how easy it is to use Amazon Personalize to tailor product and content recommendations to ensure that your users are getting the content they want, leading to increased engagement and retention.
Today customers use Amazon SageMaker to build millions of models with billions of parameters. SageMaker offers advanced capabilities that help you manage large-scale model training such as debugging, profiling, model checkpointing, optimization for deep learning algorithms, and distributed training, so even the largest ML models can be trained in record time for the lowest cost. In this session, dive deep into these training features using examples from computer vision and natural language processing.
Join this session to learn how to use Amazon SageMaker Autopilot to automatically build the best machine learning (ML) model based on your dataset. SageMaker Autopilot automatically trains and tunes hundreds of ML models and enables you to pick the best model for your use case, such as price prediction or text classification. You don’t need to have a deep background in ML to get started quickly. Simply provide your dataset, and SageMaker Autopilot takes care of the heavy lifting including preparing features, testing algorithms, and optimizing hundreds of model parameters.
MLOps practices help data scientists and IT operations professionals collaborate and manage the production ML workflow, including data preparation and building, training, deploying, and monitoring models. During this session, explore the features in Amazon SageMaker Pipelines that help you increase automation, track data lineage, catalog ML models for production, improve the quality of your end-to-end workflows, and support governance. Also, learn how to use SageMaker projects, which provide MLOps templates for workflows.
Organizations are hungry to use data to grow and improve performance, but enterprises are struggling with search today, and finding information is harder with employees working remotely. In this session, learn how Pinterest worked with AWS Partner Raytion to utilize Amazon Kendra and build a robust search solution that integrated with multiple internal data sources. Together they enabled their employees to find the right answers and boost productivity while working from home.
To maximize your ML investments, high performance and cost-effective techniques, including real-time, asynchronous, and batch, are needed to scale model deployments. In this session, discuss the different inference options available in Amazon SageMaker such as multi-container endpoints, inference pipelines, multi-model endpoints, frameworks such as TensorFlow and PyTorch, Python-based backend servers, and C++/Go-based backend servers. Pick the best inference option for your ML use case so you can scale to thousands of models across your business.
Join this session to learn how to prepare data for ML in minutes using Amazon SageMaker. SageMaker offers tools to simplify data preparation so that you can label, prepare, and understand your data. Walk through a complete data-preparation workflow, including how to label training datasets using SageMaker Ground Truth as well as how to extract data from multiple data sources, transform it using the prebuilt visualization templates in SageMaker Data Wrangler, and create model features. Also, learn how to improve efficiency by using SageMaker Feature Store to create a repository to store, retrieve, and share features.
Adding intelligence to your call center can help you better understand your customer and improve your overall service ratings. Join this session to learn how AWS Contact Center Intelligence (CCI) is providing self-service automation, real-time call analytics, and agent assist solutions. See firsthand how organizations implement AWS CCI to better understand the user journey, equip agents with the knowledge they need, and provide customers with effective answers to their questions.
Anomalies in business data often indicate potential issues or even opportunities. Machine learning can help you to detect anomalies and then act on them proactively. In this workshop, learn how Amazon Lookout for Metrics automatically detects anomalies across thousands of metrics in near-real time and reduces false alarms.
In this workshop, learn how to orchestrate machine learning (ML) workflows across each step of the ML process, including exploring and preparing data, experimenting with different algorithms and parameters, training and tuning models, and deploying models to production using Amazon SageMaker Pipelines. SageMaker Pipelines makes it easy to manage dozens of ML models and massive volumes of data and to track thousands of training experiments. learn how to share and reuse workflows, helping you scale ML throughout your organization.
In this workshop, learn how to develop a full ML project end to end with Amazon SageMaker. Start with data exploration and analysis, data cleansing, and feature engineering with SageMaker Data Wrangler. Then, store features in SageMaker Feature Store, extract features for training with SageMaker Processing, train a model with SageMaker training, and then deploy it with SageMaker hosting. Also, learn how to use SageMaker Studio as an IDE and SageMaker Pipelines for orchestrating the ML workflow.
Data scientists apply feature transformation on organizations’ raw data to generate aggregated features for their machine learning algorithms. These aggregated features are critical for several real-time applications such as fraud detection, recommendations, and personalization. However, serving these type of features for real-time predictions in production poses a difficult problem. Amazon SageMaker Feature Store addresses this challenge with point-in-time aggregates. In this session, learn about Twitch’s real-time personalization use case and how Twitch uses SageMaker Feature Store’s point-in-time aggregates capability to make personalized recommendations more responsive and improve viewer experience.
Consumers rely on content not only to entertain but also to educate and facilitate purchasing decisions. To meet this demand, media content production is exploding. However, the process of producing, distributing, and monetizing this content is often complex, expensive, and time-consuming. Applying artificial intelligence and machine learning (ML) capabilities like image and video analysis, audio transcription, machine translation, and text analytics can solve many of these problems. In this workshop, utilize ML to extract detailed metadata from content and make it available for search, discovery, and editing use cases.
Mortgage packets have hundreds of documents in various layouts and formats. Using machine learning (ML), you can set up a document-processing pipeline to automate mortgage application workflows like extracting text from W2s, paystubs, and deeds; classifying documents; or using custom entity recognition to pull out specific data points. In this workshop, learn various ways to use optical character recognition (OCR), natural language processing (NLP), and human-in-the-loop services to build a document-processing pipeline to automate mortgage applications—saving time, reducing manual effort, and improving ROI for your organization.
Understanding what your customers are saying is critical. In this AutoML workshop, learn how to use your own data and create custom models that are tailored to the needs of your business—with no ML expertise required. Use a set of customer calls to find out how you can boost transcription accuracy with Amazon Transcribe custom language models. Extract insights with Amazon Comprehend custom entities, and localize the content with Amazon Translate Active Custom Translation. If you’re ready for hands-on experience with AutoML, this is the workshop for you.
As lidar sensors become more accessible and cost-effective, customers increasingly use point cloud data in new spaces like autonomous driving, robotics, and augmented reality. The growing availability of lidar sensors has increased use of point cloud data for ML tasks like 3D object detection, segmentation, object synthesis, and reconstruction. This workshop features Amazon SageMaker Ground Truth and explains how to ingest raw 3D point cloud data, label it, train a 3D object detection model, and deploy the model. The model in this session will be trained on an autonomous vehicle dataset.
The field of natural language processing (NLP) is developing rapidly, and NLP models are growing increasingly large and complex. Through strong ecosystem partnerships with organizations like Hugging Face and advanced distributed training capabilities, Amazon SageMaker is one of the easiest platforms with which to quickly train NLP models. In this workshop, see how to quickly train an NLP model from the Hugging Face transformers library with just a few lines of code using PyTorch or TensorFlow as well as SageMaker’s distributed training libraries.
Claims adjustment is a manual process performed by insurance companies under tight time pressure. The process is tedious, as claims forms have no standard template and can stretch over 100 pages. The Claims Understanding Solution presents a means of automatically extracting the important information from these claims forms to help adjusters quickly adjudicate a claim and formulate a response. The Claims Understanding Solution uses Amazon Textract, Amazon Kendra, and Amazon Comprehend to provide searchability over these forms and extracts important categories into a formatted template for adjusters to easily complete their work.
By using PyTorch in Amazon SageMaker, you have a flexible deep learning framework combined with a fully managed machine learning solution that allows you to transition seamlessly from research prototyping to production deployment. In this session, hear from the PyTorch team on the latest features and library releases. Also, learn how to develop with PyTorch using SageMaker for key use cases, such as using a BERT model for natural language processing (NLP) and instance segmentation for fine-grained computer vision with distributed training and model parallelism.
Jupyter notebooks allow data scientists to create, share, and streamline work for data visualization from raw code to fully functional machine learning (ML) models. With Amazon SageMaker Studio, you can spin up Jupyter notebooks quickly without the need to manage the underlying compute resources. You can easily dial the required compute scale up or down, and the changes happen automatically in the background. The notebooks within SageMaker Studio are shareable, enabling collaboration with increased productivity. In this session, learn how to use fully managed Jupyter notebooks complemented by an in-depth demonstration on how to build ML models at scale.
Amazon SageMaker offers several compute capabilities and instance types to meet the needs of your machine learning (ML) use cases, including computer vision, recommendation engines, and natural language processing. In this session, discover the compute options available to you, including GPUs, CPUs, and AWS Inferentia. Learn the best practices and essential criteria, including price, performance, flexibility to support ML frameworks, and ease of use, so you can choose the right capabilities for your ML workload.
Computer vision (CV) can help organizations of all sizes improve visibility into processes to increase efficiency and avoid potential issues. However, in environments with limited network bandwidth, CV in the cloud can be difficult or near impossible to implement. AWS Panorama is a machine learning appliance and software development kit (SDK) that allows you to bring CV to on-premises cameras to make predictions locally with high accuracy and low latency. In this chalk talk, learn how you can automate tasks that have traditionally required human inspection to improve your operations across a variety of industries, such as retail, hospitality, and industrial.
AWS Contact Center Intelligence (CCI) allows those who already have a contact center to benefit from AWS machine learning-powered solutions to enhance self-service, analyze calls in real time to assist agents, and learn from all contact center interactions with post-call analytics. This chalk talk shows you how to implement these solutions into your existing contact center environment.
Customers calling in for support expect personalized experience and a quick resolution to their issue. With chatbots, you can provide automated and human-like conversational experiences for your customers. In this chalk talk, discuss strategies to design personalized experiences using Amazon Lex and Amazon Polly. Explore how to design conversation paths, customize responses, integrate with your applications, and enable self-service use cases to scale your customer support functions.
The volume and complexity of the visual clues that build an understanding of the world keep increasing. In this session, learn how to build computer vision applications that automate visual analysis with Amazon Rekognition—without any previous machine learning experience needed. Explore the new and enhanced face-detection, moderation, celebrity-recognition, video-segmentation, custom-label, and text-detection APIs and features for Amazon Rekognition.
Before using a dataset to train a model, you need to explore, analyze, and preprocess it. During this chalk talk, learn how to use Amazon SageMaker to complete these tasks in a Jupyter notebook environment.
Explaining ML models and understanding the reasoning behind the predictions they make is often difficult, but it is important to support responsible use of ML. Trained models may weigh some features more heavily than others when generating predictions. With Amazon SageMaker Clarify, you can develop a robust understanding of your models by checking for potential bias in training data or a trained model. In this chalk talk, dive into the various bias metrics and feature-importance graphs available in SageMaker Clarify across the ML workflow and explore how you can use them to improve your model.
When calls into a customer service center come from fraudsters, it can cost employees time, cost the business money, and negatively impact experience for legitimate customers. In this session, learn how to use machine learning-based fraud detection from Amazon Fraud Detector within Amazon Connect to implement real-time, risk-based interventions, which can improve wait times for legitimate customers and protect your service center from fraud callers, all while saving time and money.
While DevOps technology has evolved dramatically over the last few years, it is still challenging. Issues related to concurrency, security, or handling of sensitive information require expert evaluation and often slip through existing mechanisms like peer code reviews and unit testing. Even for organizations that can invest in developers who are expert code reviewers, the pace at which the software is developed creates high volumes of complex code that are difficult to review manually. Join this chalk talk to learn how the AWS next-gen DevOps portfolio helps augment your developer’s expertise with machine learning (ML) capabilities to establish automation and more proactive mechanisms that enable teams to innovate faster with confidence.
The volume of user-generated content and third-party content has been exploding in social media, online gaming, digital forums, dating websites, and photo-sharing websites. To ensure the safety of end users, companies need to find a way to review audio, image, video, and text content at scale for potentially inappropriate or offensive material such as profanity, violence, drug use, or disturbing content. This chalk talk provides hands-on experience to implement a multimodal AI content moderation solution that can analyze images and videos for inappropriate visuals (Amazon Rekognition), speech (Amazon Transcribe), and text (Amazon Comprehend).
Get to know Amazon Personalize better by diving into how you can deliver relevant recommendations while also optimizing for the business outcomes that are important to you. In this interactive chalk talk, learn about Amazon Personalize and discuss best practices for delivering low-latency, highly relevant recommendations for your users in real time.
ML has quickly become a top priority for organizations everywhere, but achieving ML at scale across many business units and teams is no small feat. Join this chalk talk to learn how Amazon SageMaker Feature Store lets you share new ML features, search and discover existing features, and flexibly reuse features in new models to accelerate the pace of ML model development. This is an interactive discussion, so bring your toughest feature engineering challenges and ideas to consider solutions together.
TensorFlow is one of the most popular open-source deep learning frameworks used in machine learning, but it can be challenging to scale TensorFlow model training and inference. In this session, learn about Amazon SageMaker features that address these challenges, including distributed training, cost-effective inference, and workflow management. Come away understanding how to reduce development cycle time from weeks to days.
More ML models are being deployed on edge devices such as robots and smart cameras. In this chalk talk, dive into building computer vision (CV) applications at the edge for predictive maintenance, industrial IoT, and more. Learn how to operate and monitor multiple models across a fleet of devices. Also walk through the process to build and train CV models with Amazon SageMaker and how to package, deploy, and manage them with SageMaker Edge Manager. The chalk talk also covers edge device setup and MLOps lifecycle with over-the-air model updates and data capture to the cloud.
There is a rising concern about the number of architectural models required to meet regulatory and compliance requirements among retailers. The need to build SaaS applications for delivery of multi-tenant solutions is growing. Learn how to build a multi-tenant ML demand-planning SaaS application with more accurate forecasting using Amazon Forecast. Using a retail example, learn how forecasting models automatically update ML models, understand factors that influence those forecasts, and perform scenario analysis to understand the impact of pricing and promotions.
One of the major factors that can affect the accuracy of models is the difference between data used to generate predictions and data used for training. For example, changing economic conditions could drive new interest rates affecting home purchasing predictions. Amazon SageMaker Model Monitor automatically detects drift in deployed models and provides detailed alerts that help identify the source of the problem and trigger model retraining and a validation pipeline. In this chalk talk, also learn how you can use human-in-the-loop to validate model predictions.
Deep learning (DL) projects often require integrating custom libraries with popular open-source frameworks such as TensorFlow and PyTorch. Setting up, managing, and scaling custom ML environments can be time-consuming and cumbersome even for experts. With AWS Deep Learning AMIs and AWS Deep Learning Containers, you get access to prepackaged and optimized DL frameworks that make it easy for you to customize, extend, and scale your environments. In this chalk talk, learn how to launch and use DL AMIs; how to pull, customize, and extend DL containers; and how to implement model training and inference with Amazon EKS and Amazon SageMaker.
Successfully implementing predictive maintenance requires using the data from your machine sensors under your unique operating conditions and applying machine learning to get accurate predictions about potential machine failures. In this chalk talk, walk through a full end-to-end predictive maintenance model using Amazon Lookout for Equipment, an industrial equipment-monitoring service that detects abnormal equipment behavior. This includes the steps for defining a good application for Lookout for Equipment, structuring historical data, building a model, getting real-time results and visualizations, and scaling from one model to 1,000+ models.
Join this chalk talk to explore the Amazon SageMaker solutions designed to help you get started faster with machine learning (ML). Each of the 20 solutions accelerates your ML journey by offering a dataset and model for common ML use cases, such as predictive maintenance, churn prediction, and credit risk, so you can move quickly from concept to production. Also walk through how to use the 300 pretrained popular open-source ML models that come with SageMaker JumpStart to help you build common ML models such as image classification, object detection, text classification, and text generation.
Join this session to learn how to create high-quality labels for a variety of training data, including 3D point clouds, videos, images, and text in just a few minutes while also reducing your data labeling costs by up to 70 percent. This session walks through the different workflow options in Amazon SageMaker Ground Truth, such as automatic labeling and assistive labeling features like automatic 3D cuboid snapping and distortion removal in 2D images.
Amazon Rekognition Custom Labels is an automated machine learning (ML) feature that enables customers to quickly train their own custom models for detecting business-specific objects and scenes from images—no ML expertise is required. In this builders’ session, learn how to use Amazon Rekognition Custom Labels to build and deploy your own computer vision model and push it to an application to showcase inference on images from a camera feed. Bring your laptop and an AWS account.
As smart devices proliferate, it becomes increasingly challenging to keep ML models optimized for the different types of hardware. Join this builders’ session to use Amazon SageMaker Edge Manager to optimize, secure, monitor, and maintain ML models across a fleet of devices.
AWS Marketplace is a growing digital catalog of third-party software and data that makes it easy to find, buy, deploy, and manage the software you need to build solutions and run your business on AWS. In this track, learn how to use AWS Marketplace to innovate more quickly, with easy access to cost-effective and flexible software solutions, and how to streamline and govern your software procurement process. Learn how to transform your software supply chain by diving deep on features such as custom terms and pricing that tailor transactions to your precise needs, the ability to build a private marketplace that contains only your preapproved software, and integration with existing procurement systems and AWS cost management tools to centralize approvals and improve spend visibility.
In this session, hear from Goldman Sachs on why they’ve decided to consume financial data natively through AWS and how they’ve made data consumption and analytics more efficient and agile through AWS Data Exchange and Amazon Redshift data sharing and API consumption models. Hear also from FactSet leadership on why they’re moving financial exchange data to the AWS Cloud and using AWS Data Exchange to make their data more easily accessible and usable for AWS customers.
Navigating changing business needs and modernizing organizations at scale is no easy feat. In this session, learn how AWS Marketplace streamlines and accelerates your cloud modernization journey by making it easy to find, buy, deploy, and manage third-party software and data solutions that run on AWS. Hear how AWS customers are creating agile organizations with cloud-driven modernization strategies that meet cross-functional technical and business objectives with solutions from AWS Marketplace. In addition, learn how AWS Marketplace accelerates innovation, simplifies procurement, improves governance controls, and optimizes costs to help ensure your organization is positioned for success in the future.
In this workshop, learn how to compose secure and compliant applications consisting of machine learning (ML) models and third-party datasets from AWS Marketplace that solve an ML problem. Set up an AWS Service Catalog portfolio containing multiple individual compliant AWS Service Catalog products, and then vend them as an end user. Finally, log onto the secure notebook instance environment you vend and run the ML experiment.
In the Blockchain track, learn about AWS’s purpose-built tools that support your distinct needs, whether you need a multi-party, fully managed blockchain network to help eliminate intermediaries (Amazon Managed Blockchain) or a centralized ledger database that maintains an immutable and cryptographically verifiable record of transactions (Amazon QLDB).
Building enterprise blockchain applications on your own infrastructure is often expensive, complicated, and time-consuming. Amazon Managed Blockchain makes it easy to build scalable blockchain applications by eliminating the need to set up and manage infrastructure, allowing you to focus on writing applications for your business. This session covers the new features and capabilities of Amazon Managed Blockchain for both Hyperledger Fabric and Ethereum and discusses customer stories across areas including decentralized finance, financial services, automotive, aviation, gaming, non-fungible tokens (NFTs), public sector, sustainability, and more.
Ethereum popularized the concept of smart contracts, enabling a multitude of decentralized applications that securely run on a blockchain. Amazon Managed Blockchain is a fully managed service that makes it easy to join the public Ethereum network, eliminating the overhead required to set up the necessary infrastructure. In this session, learn how to use Amazon Managed Blockchain and service integrations to set up popular architecture patterns among Ethereum workloads.
Curious how blockchain, Central Bank Digital Currencies (CBDCs), non-fungible tokens (NFTs), and digital assets can transform your customers’ businesses? Then this chalk talk is for you! Verification and ledger technologies including blockchain services like Amazon Managed Blockchain help businesses transform their operations while providing transparency and cutting costs. By tokenizing physical and digital assets, customers are able to shorten settlement times, reduce potential cost risks, and create new business models. Join this chalk talk to hear from AWS blockchain veterans and get hands on creating your first digital assets on the Ethereum blockchain.
Smart legal contracts is an emerging technology in the legal tech domain that is targeted at increasing the efficiency of key stages of the legal contract lifecycle, including drafting, negotiation, signing, and verification of terms and conditions after the initial contracting phases. In this chalk talk, learn about the key building blocks of this technology and look at the benefits that blockchain and ledger databases bring based on two use cases: company incorporation with tokenized shares and digital trade with tokenized ownership of bill of lading documents.
Organizations require business applications to support employees, customers, and partners. Inspired by the AWS approach to cloud infrastructure, organizations have asked AWS to help them solve problems at the business application level for contact center, communication services, and no-code productivity applications. Come learn about the AWS suite of business applications, including Amazon Connect, Amazon Honeycode, Amazon Chime, Amazon Pinpoint, Amazon SES, and more. Learn how AWS delivers value to nontechnical users while retaining the customer-centric approach and core principles of security, scale, and operational excellence for which AWS is known.
AWS Communication Developer Services, including Amazon SES, Amazon Chime SDK, and Amazon Pinpoint, allow developers to improve communication with their customers. In this session, learn how to enable secure, scalable customer communications across different use cases, including application-to-person (A2P), asynchronous, and real-time communications. Discover new innovations, customer stories, and tips for engaging customers around the world using email, SMS, push notifications, chat, audio, video, and voice over the PSTN. Companies of all sizes can benefit from AWS’s ongoing investment in availability and regulatory support across all communication channels, while only paying for what they use.
Businesses must continuously innovate and adopt new processes to stay ahead of customer expectations. In this session, learn how Amazon Connect, an easy-to-use cloud-based contact center, can help you increase customer satisfaction by delivering an ongoing, scalable customer experience (CX) through continuous innovation. See demonstrations on new Amazon Connect features, and hear how customers have used our cloud contact center solution to reimagine CX at scale.
Your agents are at the core of every contact center interaction. With hundreds to hundreds of thousands of questions coming in every day, empowering your agents is critical to improving customer satisfaction. In this session, learn how Amazon Connect, powered by machine learning (ML), can improve agent performance (with Contact Lens for Amazon Connect) and productivity (with Amazon Connect Voice ID and Amazon Connect Wisdom). Also, discover how to build your own easy-to-use cloud contact center in just a few clicks, without the need for any technical expertise.
While customers expect natural and seamless conversations with their customer service team, delivering cohesive experiences can be challenging. In this session, learn how Amazon Connect, an easy-to-use omnichannel cloud contact center, uses machine learning, automation, and inbound and outbound communication channels across voice and chat to improve business outcomes. Also, hear how to improve customer issue resolutions while saving contact center costs.
Every day, companies are migrating to the cloud to increase agility and scalability and to use new, innovative features. However, migrating to the cloud is not the same for all companies. On-premises contact centers can have complex architectures and challenging integrations to maintain across multiple vendor relationships. In this workshop, learn best practices from AWS migration experts who specialize in helping companies make the move to Amazon Connect. Learn how to uncover challenges, assess your migration readiness, define goals, and mobilize your move to Amazon Connect.
Amazon Honeycode is a fully managed AWS service that gives you the power to build business applications for managing your team’s work without writing any code. In this workshop, create and launch your own business application. Using Honeycode templates for team collaboration, program management, and more, you can add users, create permissions, customize steps, and start collaborating with your teams. A laptop is required to participate in this workshop.
Amazon Pinpoint is a multichannel communications service used to send billions of messages to end users worldwide. Channels include SMS, email, push notifications, voice, customer channels, and more. In this chalk talk, explore how to architect an Amazon Pinpoint solution for enterprise scale and for campaigns that span business units or companies, while ensuring that resources, access controls, audiences, and templates are aligned. Also, learn how to connect external data sources, including data lakes, to deliver real-time segmentation.
Customers expect consistent, personalized engagement, whether they are contacting you or you are contacting them. In this chalk talk, learn how to blend proactive outbound contact strategies and automation with your inbound contact center, improving issue resolutions and outcomes.
Cloud and AI/ML have redefined what’s possible when building high-performing omnichannel contact centers. In this chalk talk, learn how Amazon Connect can help organizations build high-value, digital-first contact center experiences. Also, learn how other AWS services and AWS Partner integrations make it easier and faster than ever to service customers across the channels they choose.
Amazon Chime uses advanced audio and video technologies, such as noise suppression, acoustic echo cancellation, and background blur, to deliver high-fidelity, robust, and engaging end user communication experiences. Join this chalk talk to learn from the Amazon Chime advanced technology team, who is responsible for researching and realizing state-of-the-art audio and video solutions using ML and digital signal processing (DSP). Dive into the science behind the team’s algorithms, and discover future opportunities for audio and video processing in teleconferencing and a variety of other application areas.
Amazon Honeycode is a fully managed AWS service that gives you the power to build business applications for managing your team’s work without writing any code. In this chalk talk, learn how to identify what your team needs to manage work better, and then discover how you can use Amazon Honeycode to build an app that fills the gap.
Amazon SES is a fully managed outbound and inbound email service that enables customers to send mail from within any application and interact with their own users over email in a secure, scalable, and timely manner. You can configure Amazon SES quickly to support several email use cases, including transactional, marketing, or mass email communications. This chalk talk details best practices when sending email using Amazon SES to help ensure high deliverability to recipient inboxes and reviews some of the latest service features.
Companies are using ML to turn data into insights and automate actions that help personalize customer experiences and improve contact center outcomes. Join this builders’ session to learn how real-time Amazon Connect ML capabilities, such as Contact Lens for Amazon Connect and Amazon Connect Wisdom, can help contact centers get more out of customer and enterprise data.
Amazon QuickSight is AWS’s native business intelligence (BI) platform. Explore the Business Intelligence track to learn how QuickSight can help you easily build and scale cloud-powered BI solutions that provide rich and interactive visualizations, which you can seamlessly embed within customer applications or share as stand-alone, self-serve dashboards. Learn about QuickSight’s serverless architecture and built-in SPICE platform for easily scaling to hundreds of thousands of users without compromising on performance. Also learn about QuickSight’s advanced analytics capabilities, such as ML-powered anomaly detection, forecasting, and autonarratives.
In our increasingly fast-paced world, it is critical for companies to make data-driven business decisions quickly. In order to move fast, teams need the ability to answer business questions without relying on the time-consuming efforts of business intelligence (BI) teams. Amazon QuickSight Q is a machine learning-powered capability that uses natural language processing to answer business questions instantly in the form of a visual, without requiring authors to create visuals, dashboards, or analyses. In this session, the Amazon QuickSight team provides an overview of Q and guidance on how to get started with this new capability.
Organizations increasingly strive to improve data literacy for all their employees and reduce dependence on IT and data scientists while gaining efficiency by moving to the cloud. Existing business intelligence tools can limit business users’ insight into their data. They can also limit IT departments’ ability to provide self-service analytics in a secure, scalable, and cost-efficient way. Join this session to learn how customers have modernized their advanced analytics, self-service, and reporting needs by migrating to Amazon QuickSight. With QuickSight, you only pay for what you use and are not required to manage any infrastructure.
Empower your users by embedding business analytics capabilities directly into your application. Amazon QuickSight embedded analytics seamlessly integrate into your application and enable your users to perform advanced analytics with capabilities such as one-time, or ad hoc, analyses and machine learning-based insights, providing you with new ways of monetizing and differentiating your applications. Join this session to learn about QuickSight’s new capabilities for embedding rich data visualizations within SaaS applications that provide governance and data security. The session also shows how QuickSight can be easily connected to your choice of data services including Amazon RDS, Amazon Athena, Amazon S3, or Amazon Redshift.
Want to grow your dashboard-building skills from beginner to advanced? In this workshop, the Amazon QuickSight team guides you through the latest authoring functionality, such as high-fidelity layouts, custom content, and advanced formatting. These features are designed to empower you to build beautiful layouts and robust interactive experiences with other applications, right from within your dashboard.
Amazon QuickSight Q is a machine learning-powered capability that uses natural language processing to answer business questions about data instantly. Q interprets questions to understand their intent and generates an answer instantly in the form of a visual without requiring authors to create visuals, dashboards, or analyses. In this chalk talk, the Amazon QuickSight Q team provides an overview of Q and different question types that are currently supported. Following the product demo, learn how to set up datasets to answer natural language questions by users.
Amazon QuickSight is a scalable, serverless, embeddable, ML-powered BI service built for the cloud that you can use to deliver easy-to-understand insights to the people you work with, wherever they are. In this chalk talk, learn about deployment methodologies and best practices around multi-tenancy, cross-account data connectivity, single sign-on, content migration, and automation to give you confidence deploying into even the most sophisticated environments.
Organizations no longer ask why they should move to the cloud. Instead they ask how fast they can move and what they’re moving first. Whether you are refactoring and modernizing applications for the cloud or maintaining traditional applications in hybrid environments, join this track to learn about the AWS Cloud operations model. See how you can build, manage, and operate your applications in a secure, automated, reliable, and cost-effective way. Learn how you can build a foundation for operational effectiveness; automate and orchestrate everything from a central operations hub; verify your operational posture; observe, detect, diagnose, and remediate issues easily; strengthen governance over time; and set up people and processes to support your efforts. See how using this best-practice model can reduce complexity with a single control plane in the cloud and on premises and augment existing ITSM- or ITIL-based solutions for the cloud.
In this session, learn about the tools you can use to operate your AWS environment at scale. Whether you are in cloud operations, application administration, compliance, security, or all of the above, AWS can help you manage your cloud operations reliably and with observability. Join this session to learn how you can manage and operate applications in an environment that is designed to be secure and compliant. Also, see how Venmo operates their AWS environment at scale, globally, using native AWS observability and management dashboards to help them remain compliant.
In this session, learn how to build, manage, and operate your mission-critical applications in a secure, automated, reliable, and cost-effective way. This session covers how you can use a single control plane across multiple AWS solutions to manage and govern resources on AWS, on premises, and in hybrid environments. Join this session to learn how to streamline application management, incident management, and compliance management to manage mission-critical applications and services better.
In this session, learn how to continuously assess, manage, and maintain compliance for formalized standards such as those required by the Federal Risk and Authorization Management Program (FedRAMP), National Institute of Standards and Technology (NIST), and others. Also, learn about various auditing options, including auditing privileged access across services like Amazon S3 and Amazon DynamoDB. Dive deep into how you can achieve governance and compliance using preventive and detective guardrails and other AWS services.
Observability can be hard to achieve due to sheer system complexity. Whether in data centers or in the cloud, to achieve operational excellence and meet business objectives, you need to understand how your systems are performing. This workshop dives deep into ways that you can use observability to detect and investigate problems while gaining and maintaining observability of your modern and traditional applications. Get hands-on experience with the most common use cases, understand when to use observability, learn about and implement the newest features available, and learn about the growing range of observability solutions, both AWS native and open source.
In this hands-on workshop, dive deep into ways you can operate your cloud and on-premises environments, including infrastructure and applications. Pick your own hands-on challenge to focus on managing and automating infrastructure, application management and governance, and compliance management and assurance.
In this hands-on workshop, learn how to assess and manage compliance and security drift in the cloud. Explore how to map the three lines of defense to automated compliance management, continuous oversight, continuous assessment, and automated evidence gathering and reporting. Also, receive guidance on how to break down silos between business owners, operations, security, compliance, and audit teams using services related to Cloud compliance and assurance.
Get actionable insights to track your AWS cost and usage performance, drive cost-efficient consumption behavior in your organization, and make cost-aware architectural decisions. Join this workshop to learn how you can integrate AWS Cost and Usage Reports with Amazon QuickSight and build your own dashboards to visualize specific KPIs and savings opportunities that are meaningful to you and your business.
In this chalk talk, learn how to use the prescriptive guidance provided in the AWS Well-Architected Framework Management and Governance (M&G) Lens and its AWS Cloud foundational capabilities to implement governance at scale on AWS. Use AWS recommendations from the M&G Lens and cloud foundations to orchestrate a multi-account AWS environment using AWS Control Tower, AWS Organizations, and AWS Service Catalog. Finally, hear from Cerner on how they used the M&G Lens for their deployment.
In this chalk talk, learn how to simplify application management by standardizing cloud patterns and reducing development time while remaining compliant. Learn how to use AWS Service Catalog AppRegistry and AWS Systems Manager Application Manager to incorporate governance and version control for your applications while maintaining developer speed. Learn how cloud engineering teams across the organization can build and deploy applications consistently using AWS Systems Manager, Amazon CloudWatch, AWS Service Catalog, and AWS Organizations.
In this chalk talk, learn the various ways that you can achieve industry and configuration compliance with the help of AWS Cloud operations services. Also, learn the best practices for auditability, including ways that you can maintain appropriate auditing for formalized compliance standards such as the Federal Risk and Authorization Management Program (FedRAMP) and National Institute of Standards and Technology (NIST).
This chalk talk covers observability best practices, use cases and patterns, architecture designs, and customer adoption stories. Learn what you can do to maintain operational excellence using AWS observability offerings, including Amazon CloudWatch, AWS X-Ray, Amazon Managed Service for Prometheus, and Amazon Managed Service for Grafana.
Building and running your applications starts with compute, whether you’re building enterprise, cloud-native, or mobile apps or running massive clusters to sequence the human genome. AWS offers a comprehensive portfolio of compute services that allows you to develop, deploy, run, and scale your applications and workloads in the world’s most powerful, secure, and innovative compute cloud. Explore the Compute track to learn how you can use AWS compute services such as Amazon EC2, AWS Outposts, AWS Wavelength, and Amazon Lightsail, as well as in chips with AWS Graviton2 and AWS Inferentia, to scale compute capacity at the best price-performance in the cloud. This track includes topics ranging from beginner getting started sessions to expert deep dive sessions for different compute use cases in the AWS Cloud.
Organizations are bringing diverse workloads onto AWS at a faster rate than ever before. To run diverse workloads with the performance and costs that users expect, AWS often innovates on their behalf and delivers breakthrough innovations, even at the silicon level. AWS’s foray into silicon design started with the AWS Nitro System but quickly extended to AWS Graviton processors and purpose-built inference chips with AWS Inferentia. In this session, explore AWS’s journey into silicon innovation and discuss some of the thought processes, learnings, and results from our experiences thus far.
Amazon EC2 provides resizable compute capacity in the cloud and makes web-scale computing easier. It is a foundational service for AWS and offers a wide variety of compute instances that is well suited to virtually every imaginable use case, from static websites to supercomputing on demand, all available via highly flexible pricing options. This breakout session provides an overview of what’s new to the Amazon EC2 portfolio, including updates on Amazon EC2 capabilities and instance families, Amazon EBS, networking functionality, and edge and hybrid offerings.
The AWS Nitro System is a rich collection of building block technologies, including AWS-built hardware offload and security components, that is powering the next generation of Amazon EC2 instances with an ever-broadening selection of compute, storage, memory, and networking options. In this session, dive deep into the Nitro System, review its design and architecture, explore new innovations to the Nitro platform, and see how it has made the seemingly impossible, possible.
High performance computing (HPC) has always been about solving the most complex problems, but for far too long, HPC applications and workloads have been constrained by infrastructure capacity. In this breakout session, learn how flexible configuration, virtually unlimited scale, and AWS’s complete portfolio of HPC-focused solutions enable researchers and engineers to tune and scale infrastructure as their workloads dictate, not the other way around. Learn about how the latest Amazon EC2 instances and new HPC-focused product and service features make AWS the best place to run everything from tightly coupled, MPI-based HPC workloads to loosely coupled, embarrassingly parallel workloads.
Creating development sandboxes and testing environments outside of your production environment lets you test without the concern of breaking something or spending large amounts of money. Amazon Lightsail provides lightweight virtual servers and other cloud resources at a low, predictable price, allowing you to test solutions in a low-risk way. You can easily migrate your development resources in Lightsail to run production environments on Amazon EC2 and other AWS services. Join this builders’ session to learn more about how to run your developer or test environments on Lightsail and migrate them to production workloads.
Enterprises are adopting the AWS Cloud at a rapid pace to reduce costs, become more agile, and innovate faster. While most workloads can be easily migrated to the cloud, some workloads remain on premises or in edge nodes due to low-latency, local data processing or data residency requirements. Organizations want to run their workloads using the same infrastructure, services, APIs, and tools across all environments—from the cloud to on premises to edge nodes. In this session, learn how AWS is reinventing hybrid by extending AWS to virtually anywhere organizations need it, from on-premises locations to large metro centers to 5G networks.
Amazon EC2 Inf1 instances, powered by AWS Inferentia chips, are built from the ground up to provide high performance and the lowest cost ML inference in the cloud. This session dives into the AWS Inferentia chip, Inf1 instances, and support for Inf1 in Amazon SageMaker as well as other AWS services. See architecture-level details of hyperscale services and hear about customers that have adopted Inf1 instances to lower their inference costs. This session also includes a demo on getting started with Inf1 instances and scaling out deployments.
Amazon Lightsail simplifies cloud deployment and offers easy-to-use cloud resources. On Lightsail, you can deploy a multi-tier web application all in minutes. Whether you want to build a highly available website or an ASP.NET application, Lightsail has you covered. In this workshop, explore the Lightsail console and learn how to use Lightsail resources, like containers and object storage, to deploy a multi-tier web application. By the end of the workshop, you should have successfully deployed a multi-tier web application using Lightsail resources.
In this workshop, learn how you can use Karpenter, a high-performance, low-latency, node lifecycle management solution for Kubernetes. In addition, learn how Karpenter supports Amazon EC2 Spot Instance best practices natively to help you optimize for costs while scaling rapidly to meet customer demand.
AWS Graviton2 processors enable the best price performance for a wide variety of workloads in Amazon EC2. In this workshop, walk through moving a workload to AWS Graviton2-based instances, including containerized applications. This workshop is great for a developer or IT practitioner running Linux-based workloads in Amazon EC2 who is looking for better price performance.
This builders’ session reviews the benefits of running your Windows workloads on AWS and introduces an easy way to run them in the cloud with Amazon Lightsail. Dive into Windows on AWS and Amazon Lightsail, and walk through setting up an example Windows application on Amazon Lightsail. Gain a deeper understanding of what is possible by running Windows workloads on AWS and a clear idea of how you can get started for a low and predictable price.
Amazon Lightsail is the easiest way to get started on AWS. Lightsail offers intuitive cloud resources like instances, containers, databases, and more. In this builders’ session, learn how Lightsail can help you meet your SMB or hobbyist developer project needs to get up and running in minutes. This session also walks you through the latest AWS launches, common workloads, and preconfigured operating stacks like WordPress, Joomla, and Magento to give you an idea of just how easy it is to get started on AWS.
AWS is the #1 place for you to run containers, and 80% of all containers in the cloud run on AWS. Customers choose to run their containers on AWS because of the security, reliability, and scalability. Join the Containers track and meet the AWS team as you get up and running with your orchestrator of choice, learn how to secure, develop, and deploy your containerized applications on AWS, and discover ways to gain insights into them. Dive deeper into the most recent AWS service and feature launches and find out from AWS experts what your data plane options are as you build, manage, and deploy your applications or if leveraging serverless containers is right for you.
The richness of AWS container services can sometimes be overwhelming, and this can create analysis paralysis. This session provides an overview of the many AWS options for running containers. It introduces a comparison framework that considers multiple dimensions, such as feature richness, the shared responsibility model, the pricing model, target IT personas, and more. It then includes an analysis of each service under these lenses. Learn how to navigate the options and select the best services or technologies based on your needs and goals.
Infrastructure operators are looking for ways to centrally define and manage the architecture of their services, while developers need to find a way to quickly and safely deploy their code. In this session, learn how to use AWS Proton to define architectural templates and make them available to development teams in a collaborative manner. Also, learn how to enable development teams to customize their templates so that they fit the needs of their services.
Security is critical for your Kubernetes-based applications. Join this workshop to learn about security features and best practices for Amazon EKS. Learn about identifying an ongoing event and recovering Kubernetes infrastructure. Also discuss securing the cluster using best practices.
Customers often ask how can they take an existing application running on their Amazon EC2 instances and migrate it to a containerized workflow or environment. In this workshop, take an application that is running on Amazon EC2 and walk through how to break it up into containers. Start by defining the application as a container image, and run it locally. Next, take the container image that was built locally and walk through how to deploy it to Amazon ECS using the AWS Copilot CLI.
AWS CDK patterns for Amazon ECS enable you to use code to stand up your application infrastructure in minutes and replicate the changes across multiple AWS Regions and accounts. In this workshop, learn to use patterns to simplify infrastructure provisioning and to harness the power of CDK to customize your infrastructure to meet business needs.
Having an effective observability architecture for a containerized workload is essential to every business-critical environment running on AWS. By combining open-source technology with managed service experience, AWS provides observability tools that integrate seamlessly with AWS container-based hosting environments, specifically Amazon EKS and Amazon ECS. This session provides hands-on experience on the wide variety of toolsets AWS offers to set up monitoring and observability of your applications using AWS-provided and -supported tooling, such as AWS for Fluent Bit, Container Insights, Amazon Managed Service for Prometheus (AMP), Amazon Managed Service for Grafana (AMG), and AWS Distro for OpenTelemetry.
In this workshop, learn how you can reliably deploy and manage your Kubernetes clusters and applications by adopting GitOps workflows. The workshop starts with a quick overview of what GitOps is and then moves to hands-on experience by building a reference environment using Amazon EKS. From there, work through enabling automated deployments, provisioning and configuring cluster infrastructure, and managing AWS cloud resources such as storage components and database instances. The goal of this workshop is to show you how to adopt GitOps as part of your own development environment and to leave you with some guidance that enables a smooth adoption in your teams.
While you modernize your existing applications and build microservices that need to work together as an application, it can be challenging to manage these services and have a consistent way to route and monitor traffic between them. Using a service mesh can enable you to manage service-to-service connectivity effectively without having to build language-specific SDKs and tools for your production-ready applications. In this chalk talk, see a demonstration of the connectivity options between the services of a microservices application that is configured to use AWS App Mesh. App Mesh is a managed service mesh that can be used with Amazon ECS, Amazon EKS, Amazon EC2 instances, and self-managed Kubernetes on EC2.
In this chalk talk, learn how to have more than 10,000 Amazon ECS tasks running on your workload while taking full advantage of ECS’s deep AWS integration and simplicity. Knowing details and tips on how to run ECS at a large scale can reduce developer and DevOps costs to manage clusters and help achieve operational excellence with less overhead. This chalk talk provides a reference ECS architecture that can reach beyond that scale and help you adopt ECS as well.
This chalk talk walks through the resources that AWS Copilot builds and manages for you, provides a whiteboard demonstration about the various components, and details the benefits to you.
Customers have requested that the Kubernetes and support that AWS offers in the cloud be made available for on premises environments. In this chalk talk, learn how Amazon EKS Anywhere provides a consistent experience for managing Kubernetes clusters on premises and in the cloud. Discover how to standardize Kubernetes so you do not have to manage the complexity of multiple versions across your different workloads and environments, managing and monitoring your clusters using the same EKS operational tooling.
Amazon EKS is a fully managed Kubernetes service. This chalk talk covers recent enhancements to EKS and dives deep into the latest features. Learn how EKS gives you the flexibility to start, run, and scale Kubernetes applications in the AWS Cloud or on premises and how customers trust EKS to run their most sensitive and mission-critical applications.
In this chalk talk, learn about Karpenter, an AWS node lifecycle manager that you can use to run workloads on Amazon EKS as an alternative to Cluster Autoscaler. Karpenter manages your nodes based on the size of the required workloads instead of a one-size-fits-all approach that Cluster Autoscaler or other node lifecycle managers use.
The DevOps track focuses on helping software developers and DevOps teams build successfully on AWS. The track covers topics such as automation, CI/CD, infrastructure as code, observability, developer productivity, and testing.
This session explores the AWS Cloud Development Kit (AWS CDK) constructs and AWS CloudFormation modules and how they can be used to make building applications easier on AWS. Learn how you can extend CloudFormation to include support for third-party resources and how those resource types can be used by AWS Config.
This workshop dives deep into the importance of and mechanisms for meeting security and compliance requirements for your organization. Learn ways that you can enforce pre- and post-deployment standards, shift-left testing, and use of services like Amazon CodeGuru Reviewer, AWS CloudFormation Guard, and AWS Config for security static analysis and runtime compliance checks. Join this talk and bring your questions.
In this workshop, learn how to build using infrastructure as code with AWS CloudFormation and the AWS CDK. Create resources using CloudFormation and learn about maintenance and operations tips. Also delve into using the AWS CDK to enable developers to utilize their choice of programming language to create infrastructure. The workshop walks you through the steps of coding and building your own constructs (or integrating solution constructs) and publishing them as shared libraries. Let’s build!
In this workshop, learn how to improve the resiliency of your applications through continuous resilience testing. Explore best practices for continuous testing using testing and observability tools such as AWS Fault Injection Simulator and Amazon DevOps Guru.
In this workshop, get hands-on with developer tools on AWS including AWS IDE toolkits, SDKs, and CLIs to build a modern application. Learn how to easily and efficiently build, test, and debug a serverless application and explore modern tooling, including Amazon CodeGuru, AWS SAM tooling, and managed environments, to rapidly prototype and debug secure applications in the cloud.
This workshop guides you through building CI/CD pipelines with release-management best practices, including artifact management as well as zero-downtime release promotion and rollback mechanisms. Evaluate various rollback/roll forward strategies across compute types and assess the need for manual processes.
In this workshop, learn AWS Command Line Interface (AWS CLI) tips and tricks. Discover how to efficiently interact with your AWS services, manage your AWS resources, automate your regular repetitive operations, and utilize various use cases presented in this workshop. Join this workshop to hear about new feature functionalities integrated for developer operations.
This chalk talk answers your questions about infrastructure as code (IaC), including relevant AWS services and partner products. It covers topics like IaC patterns, the AWS Cloud Development Kit (AWS CDK) and AWS CloudFormation, augmentation of your CI/CD workflows with services like AWS Systems Manager, and how to select the right tools for the job. Join this talk and bring your questions.
In this chalk talk, learn how you can use AWS observability solutions to increase the availability of your applications. The talk covers topics such as how to proactively detect, efficiently investigate, and quickly resolve operational issues. Learn how to manage and improve your application’s availability using services such as Amazon CloudWatch, AWS X-Ray, Amazon Managed Service for Prometheus, Amazon Managed Service for Grafana, and AWS Distro for OpenTelemetry. Finally, learn how to limit the potential financial impact of an application outage using a highly available application design.
This chalk talk dives deep into the importance of and mechanisms for meeting security and compliance requirements for your organization. Learn ways that you can enforce pre- and post-deployment standards, shift-left testing, and use of services like Amazon CodeGuru Reviewer, AWS CloudFormation Guard, and AWS Config for security static analysis and runtime compliance checks. Join this talk and bring your questions.
This chalk talk dives deep into the most common strategies for organizing the development of complex cloud applications using various AWS services and solutions. Learn about how to get started with your local development environment, about how to select the right infrastructure, and about achieving the fastest time to market. Join this talk and bring your questions.
Testing software is a crucial part of the software delivery lifecycle, with testing methodologies prescribed for every stage of the process from local unit testing on a developer laptop to load testing production environments. This chalk talk briefly covers several test methodologies, then transitions to a Q&A session where you can ask AWS experts your testing-related questions.
This builders’ session shows you how to create an AWS CloudFormation resource type for a CloudFormation public or private registry. Also, learn how to consume resource types from registries created by other teams or organizations.
In this track, learn about AWS’s End User Computing (EUC) offerings—including Amazon WorkSpaces and Amazon AppStream 2.0—that provide cloud-native desktop and application virtualization services. EUC services enable your work-from-home, remote, and contingent workers to securely access their desktops and applications from anywhere and almost any device. EUC services are fully managed, which means you can scale your business up or down in minutes, not months, so your teams can securely access the resources they need and you can adjust as fast as business conditions require—all without deploying and operating infrastructure.
This session is designed for IT decision makers and administrators who are thinking about the future of their workforces in a post-COVID-19 world. In this session, Muneer Mirza, GM for Amazon WorkSpaces and Amazon AppStream 2.0, shares the latest innovations in virtualization and the AWS vision for how you can enable your workforce to be secure and productive from anywhere at any time.
This session is designed for IT decision makers, solutions architects, and administrators who need to architect their end user computing solutions for resiliency and business continuity, keeping end users productive and secure during failure scenarios. Join this session to learn about the out-of-the-box business continuity capabilities of Amazon WorkSpaces, hear about new continuity features, and learn about what infrastructure decisions you should consider to help improve your risk profile and lower recovery and restoration times.
Designed for IT decision-makers and administrators looking to choose among the many service and bundle options for Amazon WorkSpaces and Amazon AppStream 2.0, this chalk talk provides a framework for which service, bundles, and protocols are right for your use cases and IT environment.
Designed for IT decision-makers and administrators who are looking to maximize the security of their Amazon WorkSpaces and Amazon AppStream 2.0 deployments, this chalk talk provides best practices for both services. Topics covered include encryption in transit and at rest, antivirus exclusions, firewalls and routing, trusted devices and locations, controlling data ingress and egress, and monitoring and logging.
Designed for end user computing (EUC) customers looking to scale their current deployments, this chalk talk provides a step-by-step walkthrough of cost management and optimization options, providing proven methodologies to scale up quickly and securely and improve end user experience, reliability, and cost performance. Topics covered include cost management options, fleet management, usage reports, Microsoft Active Directory integration, multi-factor authentication, Amazon WorkSpace types and running modes, and endpoint security in the cloud.
This builders’ session is designed for IT decision-makers and administrators looking to deploy and maintain AWS end user computing services with optimized code orchestration. Learn how you can use Amazon WorkSpaces and Amazon AppStream 2.0 APIs and service integrations to onboard users, perform end-to-end image management, act on critical cost optimization information, and keep multiple AWS Regions’ custom images in sync.
User-facing web and mobile applications are the primary touchpoint between organizations and their customers. To meet the ever-rising bar for customer experience, developers must deliver high-quality apps with both foundational and differentiating features. AWS Amplify helps front-end web and mobile developers build faster front to back. In this session, review Amplify’s core capabilities like authentication, data, and file storage and explore new capabilities, such as Amplify Geo and extensibility features for easier app customization with AWS services and better integration with existing deployment pipelines. Also learn how customers have been successful using Amplify to innovate in their businesses.
Increase fan engagement through entertaining user experiences that leverage real-time data. In this workshop, build an application for a simulated fast-paced sports event: GraphQL Real-Time Race. Learn how to create a serverless web application that delivers real-time data to fans based on their location, event scoring, and event updates. Learn how to use AWS Amplify to connect the front end to a sophisticated backend with GraphQL, subscriptions, and geolocation that uses AWS AppSync and Amazon Location Service to deliver real-time data to fans with the telemetry and positions of cars on the track. It's off to the races!
Amazon has a peculiar approach to innovation that works backward from customers by using a document we call the PR-FAQ to clarify our thinking and get feedback. We then build fast with autonomous teams using AWS services. Over 25 years, this has led to numerous innovations across multiple domains—and a lot of learning! Join us in the Innovation track to learn more about how Amazon’s culture of innovation and working-backward mechanisms can help your teams innovate. Also learn how customers like you have created innovative products and services to delight their customers and how AWS technology can accelerate your journey.
Amazon’s approach to innovation has remained consistent since the company first launched—start with the customer and work backwards. In this session, be introduced to Amazon’s peculiar culture and how we innovate through four distinct yet interdependent elements: Culture, Mechanisms, Architecture, and Organization. Dive deep on each topic, and learn about practical applications including Leadership Principles, Working Backwards, Two-Pizza Teams, the PRFAQ doc, and why it’s always still Day 1 at Amazon and AWS.
Amazon is transforming customer experiences through the practical application of AI and machine learning (ML) at scale. This session is for senior business and technology decision-makers who want to understand Amazon.com’s approach to launching and scaling ML-enabled innovations in its core business operations and toward new customer opportunities. See specific examples from various Amazon businesses to learn how Amazon applies AI/ML to shape its customer experience while improving efficiency, increasing speed, and lowering cost. Also hear the lessons the Amazon teams have learned from the cultural, process, and technical aspects of building and scaling ML capabilities across the organization.
This intensive and highly collaborative workshop is inspired by the same customer-centric methods that Amazon used to develop Amazon Prime, Amazon Kindle, AWS, Amazon Echo and Alexa, and Amazon Go. It introduces you to the Working Backwards process and takes you through some of the general activities and outputs of a full digital innovation Working Backwards engagement.
With billions of IoT devices already in homes, factories, oil wells, hospitals, cars, and more, new products are emerging, industrial operations are modernizing, and governments are tackling problems in infrastructure, health, and the environment. In this track, hear lessons learned and experiences gained from organizations who have built IoT solutions on AWS that deliver transformative business outcomes and revolutionize industries. Join AWS experts, get hands-on, and learn how you can unlock your data to change tomorrow’s outcomes.
The power and utility industry is undergoing the most significant transformation to its operating and business models since the modern utility structure was developed in the early 20th century. Rather than a one-way movement of energy through generation, transmission, distribution, and consumption with a few thousand centralized generators, the grid is rapidly moving toward a decentralized model with potentially millions of intermittent generation points along the utility network due to the decreasing cost of capturing renewable sources and storage. In this session, learn how AWS provides secure, scalable, and cost-effective solutions that support the current infrastructure and the grid model of the future.
Connected products can range from Roomba vacuum cleaners to Peloton fitness bikes, Bose stereos, LG televisions, and more. Transforma Insights estimates that there will be 125 billion connected devices by 2030 with revenue in the trillions of dollars. In this session, discover insights, best practices, and patterns that AWS has learned through our experience connecting hundreds of millions of devices across different regions and industry verticals.
AWS launched AWS IoT Greengrass version 2 at re:Invent 2020 to make it easier to build, deploy, and manage intelligent device software. Join this workshop to learn how you can use the new and improved modular components for AWS Lambda functions, Docker containers, machine learning at the edge, and more.
Industry 4.0 is here, and AWS IoT services are designed to simplify the alignment of operational technology (OT) and information technology (IT) to modernize industrial processes. In this workshop, learn how AWS IoT SiteWise is accelerating adoption of cloud-native industrial solutions like asset condition monitoring and predictive maintenance. OT and IT experts team up with AWS instructors to deliver an edge solution and discuss how to apply these tools to your own workloads.
Learn how to connect a virtual wind turbine to AWS by working through the different needs of an engineer, operations person, and data analyst. Set up an IoT device connection in your AWS account and determine whether your turbine is operating safely using AWS IoT Events. Use AWS IoT Things Graph to build a simple turbine brake control solution that optimizes energy production. Finally, detect anomalies with AWS IoT Analytics and Amazon SageMaker. The workshop ends with a race to see who can safely generate the most aggregate power. A laptop is required to participate.
Devices deployed through campuses, urban sprawl, and remote sites need affordable, low-power connectivity options. One way to connect your device fleet is by operating your own long-range private network. In this workshop, learn how to deploy a private LoRaWAN network using real gateways and devices connected through AWS IoT Core for LoRaWAN. Get hands-on training with topics including provisioning, command and control, serializing and deserializing messages, and applying these patterns in your own use case.
Scaling up a fleet of consumer or industrial IoT devices is challenging, especially in scenarios where you don‘t have physical control of each device. In this workshop, learn how to safely and securely onboard devices at scale using AWS IoT services. You are responsible for deploying devices outside the corporate perimeter in this hands-on scenario. Learn how to apply the Zero Trust security model with AWS IoT Core, AWS IoT Device Defender, and AWS IoT Events to build a resilient architecture that ensures the security of your devices and data.
Learn from the experts in this series of interactive talks on IoT best practices for well-architected workloads. In this chalk talk, dive deep into three top security concerns for IoT workloads and how best to mitigate them on AWS.
Learn from the experts in this series of interactive talks on IoT best practices for well-architected workloads. In this chalk talk, learn tips and tricks for data ingestion that can lower your total cost of ownership for cost-sensitive IoT devices.
In this chalk talk, dive deep into a key principle of IoT device software development operational excellence: implementing rigorous and functional testing for IoT device software. Learn from AWS IoT experts about how you can use tools such as AWS IoT Core Device Advisor, a cloud-based, fully managed test capability, to validate IoT devices for reliable and secure connectivity with AWS IoT Core before deploying devices to production.
In this chalk talk, learn three best practices for boosting your IoT workload performance with respect to bidirectional messaging, network connectivity, and data freshness.
In this chalk talk, learn how to architect reliable IoT workloads and how to plan and architect your workloads for disaster recovery.
Get started with AWS IoT Greengrass v2, NVIDIA DeepStream, and Amazon SageMaker Edge Manager with computer vision in this workshop. Learn how to make and deploy a video analytics pipeline and build a people counter and deploy it to an NVIDIA Jetson Nano edge device. Also learn the basics of building and deploying AWS IoT Greengrass v2 components in a hands-on fashion. Finally, learn how to construct a media pipeline to detect anomalies with computer vision.
Choose your own adventure! In this builders’ session, work in a small group to build an end-to-end IoT application prototype using open-source code and content that is part of the AWS IoT EduKit learning program.
Join sessions in the .NET track to learn about AWS’s active commitment to .NET on AWS, with specific content that provides expert guidance. This track covers important application development topics, such as modern application architecture, DevOps, containers, serverless, and tooling with an emphasis on addressing specific .NET customer needs.
Are you looking for ways to improve your experience for developing and deploying .NET applications on AWS? In this session, learn about the new set of open-source tools and features that let you apply the best AWS practices right from the start. Our opinionated deployment tooling helps you navigate all of the AWS deployment options, create repeatable deployment processes for your application, and share customized deployment workflows across teams and projects. Also, learn how to write your application business logic in a consistent, well-architected manner and improve your teams’ productivity.
Are you confident you can quickly identify service problems and resolve performance issues at scale? Isolating and remediating performance problems in the cloud, particularly with modern, distributed, microservice architectures is challenging. In this session, see how to implement observability for your .NET applications using logs, metrics, and traces that unlock your ability to build better systems and increase operational efficiency. Learn AWS best practices for implementing observability with services including Amazon CloudWatch, AWS X-Ray, and AWS Distro for OpenTelemetry.
Are your .NET serverless applications tuned for performance? In this session, learn AWS architectural best practices for .NET serverless applications that help you save development time, reduce costs, and increase efficiency. Also learn various serverless architectures and implementation design patterns for connecting NoSQL or relational data stores that will help optimize key performance capabilities, including cold-start times in .NET AWS Lambda functions.
In this session, learn how to achieve cost and performance advantages by running .NET 6 applications on AWS Graviton2, an Arm64 Amazon EC2 instance family. Dive into the details on Arm64 support for .NET, how to compile ASP.NET Core for Arm64, and how to deploy to Graviton2. Next, automate the deployment process with an Arm64-based CI/CD pipeline and benchmark a sample application on both Graviton2 and x86 instances to quantify the benefits. Finally, dive into differences in threading strategies versus x86-based instances and other optimization techniques that will give you the confidence to build .NET 6 applications with Graviton2.
The days of settling on one choice to store and access all your data using relational database solutions are behind us. Developers are building highly distributed and decoupled applications using purpose-built databases. Your cloud-native applications require diverse data models such as relational, key-value, document, graph, in-memory, and search databases. This session showcases samples to help you learn how to model capabilities, evaluate performance, and understand tradeoffs used to develop strategies so that you can successfully propose and adopt the right purpose-built database for your .NET applications.
This hands-on workshop takes you through an end-to-end ASP.NET application modernization scenario. In this workshop, take an existing .NET Framework application, analyze and identify components to be modernized, and then modernize it using AWS tools and best practices for .NET. Finally, use modern infrastructure-as-code tools to create the resources to host the application in the cloud, along with an automated deployment pipeline.
Are you looking to accelerate your .NET modernization project by quickly and effectively breaking down your legacy .NET monolith? This chalk talk discusses strategies AWS customers have used to evaluate their portfolio of applications and determine AWS supported tools to use to help break apart legacy applications. Next, this chalk talk discusses alternatives for refactoring certain application types (based on an audience vote) into cloud-native applications. The talk also covers strategies for modernizing existing applications and how to prioritize, as well as when to lift and shift versus refactor your .NET monolith into independent services.
Netflix is the world’s leading internet entertainment service with over 200 million paid members in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages. Members watch as much as they want, anytime, anywhere, on any internet-connected screen. In this track, see how AWS enables Netflix to quickly deploy thousands of servers and terabytes of storage within minutes. Learn how Netflix tackles the cloud at scale in this content track.
Netflix is poised to become the world’s most prolific visual effects and animated content studio. To enable their artists around the world, they built Netflix Workstations, a secure way to access remote desktops and stream creative applications from any data center to any device. Artists can now access high-performing virtual workstations on AWS with the freedom to create no matter where they are. This session reviews the technologies Netflix used, such as NICE DCV, Amazon EC2 G4 instances, Spinnaker, and Salt, and provides a peek into the future of Workstations and how they can be leveraged for a variety of workflows.
Netflix Studios produces hundreds of petabytes of media and billions of media assets. These assets are managed, created, edited, encoded, and rendered by artists on a multitude of globally distributed workstation environments. Data and metadata for these assets are stored, cataloged, and archived on AWS Cloud. What architecture supports this scale and provides artists with a secure, performant, and seamless storage interface? In this session, learn about Netflix Drive, a generic cloud drive for storing and retrieving media assets. It ties together disparate data, like on Amazon S3, and metadata stores, like on Amazon DynamoDB and Amazon RDS, in a cogent form for creating and serving assets.
Netflix continues to grow at an astonishing rate. With more subscribers and productions than ever, the network must continue to scale to connect it all. In this session, follow the Cloud Networking team on a journey to understand the scaling challenges that Netflix faces with IPv4 and the drivers for IPv6. Explore design patterns and architectural flaws that fundamentally shape the design of most VPC networks. Get insight into the close collaboration and co-innovation between Netflix and AWS that drove new features like prefix delegation and the tight feedback loop that takes features from unimpressive to amazing. Appreciate the simplicity that IPv6 can provide and gain motivation for your own journey.
The AWS global network provides the most secure network with the highest availability, broadest global coverage, and most consistently high performance in the industry to help ensure that you have the networking capabilities you need to run any workload in the cloud. In this track, hear from AWS networking experts and engineers about the latest service announcements and innovations, and learn how you can take advantage of these capabilities for your workloads.
When building applications on AWS, there are multiple options for providing load balancing and proxy services. Are you load balancing HTTP? Are you using container or serverless technology? Do you need north-south load balancing, east-west proxy services, or both? How are you handling multi-Region availability? In this session, learn how different load balancer solutions support the applications you build on AWS. Discover which options are best for your workload, and explore proven architectures for some of the most common deployment scenarios.
Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) service. It provides a variety of functions on AWS, from allowing you to register and host public DNS records to providing a DNS resolver for queries from inside Amazon VPC. In the past year, many new features have launched, including DNSSEC and Amazon Route 53 Resolver DNS Firewall, to help improve visibility, control, and security for your DNS queries, whether they are public or private. Join this session to go over this year’s launches and explore best practices for architectures.
Many organizations are moving from traditional monolithic data center networks to an agile application programming interface (API)-driven cloud network. As a result, customers are looking for an efficient and reliable way to make changes to their cloud network infrastructure. In this session, explore how you can adopt a DevOps pipeline-driven approach to deploy network configurations following best practices and using infrastructure as code. The session also introduces and demonstrates a Serverless Transit Network Orchestrator (STNO) solution.
The AWS Well-Architected Framework helps you build a secure, high-performance, resilient, and efficient infrastructure for your applications and workloads. In this session, learn how you can build hybrid networks, and discover the key considerations, best practices, and tips and tricks around operational excellence, security, reliability, performance efficiency, and cost optimization.
AWS Gateway Load Balancer (GWLB) can help you deploy and scale security appliances on AWS. This workshop focuses on integrating GWLB with an open-source, threat-detection engine from Suricata. Learn the mechanics of GWLB, build rules for GeoIP blocking, and write scripts for enhanced malware detection. The architecture relies on AWS Transit Gateway for centralized inspection, and this workshop guides you through automating it using a GitOps CI/CD approach.
In this session, walk through the fundamentals of Amazon VPC. Learn about build-out and design fundamentals for Amazon VPC, including choosing and configuring your IPv4 and IPv6 space, subnetting, routing, security, NAT, and much more. Then, consider different approaches and use cases for connecting a VPC to a physical data center using a VPN or AWS Direct Connect.
In this workshop, learn how to deploy protections at scale using AWS WAF, AWS Shield Advanced, and AWS Firewall Manager across your AWS accounts within your organization. Explore a novel approach using AWS services that allows you to customize for organization-specific requirements and then automate deployments. As an extra step, learn to deploy centralized visibility for your multi-account protection solution.
In this workshop, start with a sample statically generated website and then use Amazon CloudFront, CloudFront Functions, Lambda@Edge, and AWS WAF Bot Control to improve its SEO and security. First, accelerate your website using CloudFront’s latest capability: Brotli compression and HTTP/3. Then, enhance security by adding static headers, like HSTS, natively in CloudFront. Also learn how to enhance SEO using CloudFront Functions and Lambda@Edge by adding redirections, rewriting URLs, and customizing content for search engines. Finally, implement A/B testing on your page to test how your users interact with different versions of your webpage.
You can run a variety of network and security services on AWS, either as managed services or as self-managed, Amazon EC2-based deployments. These could include firewalls, intrusion prevention systems, proxy servers, or even Network Address Translation appliances. In this chalk talk, explore best practices for integrating these services with AWS Transit Gateway using AWS Gateway Load Balancer and VPC ingress routing.
Understanding the impact of architectural choices on data transfer can sometimes be challenging, even to experienced AWS users. In this chalk talk, learn about the details of data transfer and how to make architecture choices that improve application performance, reliability, and scalability—all while minimizing data transfer charges.
Troubleshooting is a muscle that needs to be exercised. In this builders’ session, deploy a solution that has technical networking issues. Perform your root-cause analysis and then implement a solution within an hour. Get creative with your troubleshooting, review logs, and use tools that are provided within the console to assist you.
Organizations increasingly turn to open-source software to modernize their infrastructure and, in turn, their businesses. AWS offers a host of managed services, like Amazon EKS, to make it dramatically easier for you to productively use innovative, low-cost open-source software. AWS also contributes to a wide variety of open-source communities, like Rust, GraphQL, and Kubernetes, to improve that software and keep the open-source ecosystem healthy. AWS has taken a leadership role in providing OpenSearch as an open-source search and analytics suite, and continues to provide technologies like Bottlerocket and Babelfish as open source to help accelerate the pace of industry innovation while providing increased value to customers. Come learn about the array of open-source software available to AWS customers, whether directly from AWS or through our partners and customers, and gain insight into how you can more effectively use this open-source software to transform your business.
Rust is becoming the default language choice for systems programming initiatives as more engineers take advantage of Rust’s reduced high-severity CVEs (70% for C and C++), energy use (98% for Python, 50% for Java, and 23% for C++), infrastructure costs, and latency. The language team is shaving off design “rough edges,” and with AWS's focus on top-notch developer tooling, the Rust learning curve is set to get much shorter over the next couple of years. Hear Niko Matsakis’s, vision for the shiny future, the path to get there, and the impact it will have on IT.
This session provides an on-the-ground look at the inner workings of modern open-source development by following a significant, complex change from inception to release. In 2020, Amazon completed a multiyear migration of its customer-facing product search engine onto a new service based on Apache Lucene, supported by many AWS services. In production, AWS observed Lucene’s segmented nature influencing query latency and had an idea to reduce its segment count. The idea seemed simple, but its realization, through close collaboration with the Lucene developer community, took nearly a year! This session dives deep into this journey.
Async Rust enables building efficient and reliable networking services. However, its learning curve can be steep, and “gotchas” can catch even experienced Rust developers. This workshop, aimed at intermediate and expert Rust developers (either with or without async experience), dives into async programming in Rust. We explain the operational model for async, discuss some common pitfalls that developers encounter, and demonstrate tools for resolving correctness and performance problems.
There are multiple ways to migrate from open-source Elasticsearch to OpenSearch. In this chalk talk, we discuss different migration approaches (e.g., rolling upgrades and cluster restart upgrades), when to use them, and other considerations when migrating to OpenSearch.
Interested in working in the open but not sure what it’s like or how to get started? This chalk talk dives deep into the OpenSearch code base as a concrete example to discuss best practices for working on a large-scale open-source project. Gain a better understanding of open-source development and, we hope, an increased excitement to become a part of this fast-growing community.
Babelfish for PostgreSQL adds a Microsoft SQL Server-compatible endpoint to a PostgreSQL database cluster. This enables your PostgreSQL database to understand the SQL Server wire protocol and commonly used SQL Server statements. With Babelfish, applications that were originally built for SQL Server can work directly with PostgreSQL with little to no code changes and without changing database drivers. In this interactive chalk talk, we provide an overview of the Babelfish architecture, explain the design of its major components, and step through the complete infrastructure.
OpenSearch has advanced security functionality to not only provide authorization, authentication, and encryption but also to secure your data with fine-grained access control. In this builders’ session, build out an example that secures your data at the field level and document level. Also, see how to mask data and use OpenSearch Dashboard tenancy.
This track provides guidance and education from AWS experts to help you get started and move faster in quantum computing with Amazon Braket. The track shares learnings from industry research use cases in optimization and variational algorithms based on PennyLane as well as scientific advancements in quantum computing from AWS and other researchers.
Join this session for a deeper look at the AWS quantum computing service Amazon Braket. Amazon Braket provides access to real quantum computers, an SDK and managed notebook environments, and simulators to support your learning path for quantum research and development. This session explains key information about the different quantum processing units and circuit simulators on the service, shares learnings from an enterprise customer’s research, and updates you on the latest features.
The state of quantum computing today resembles the early days of machine learning (ML). Many current quantum algorithms are based on the idea that they can be “trained” in a similar way as a neural network in ML. Open-source software such as PennyLane is helping developers and researchers explore the combination of ML and quantum principles and use familiar ML tools like PyTorch, TensorFlow, and others to program quantum circuits. Join this chalk talk to see an example of how you can use PennyLane and the Amazon Braket quantum computing service together to start your quantum computing journey using ML skills.
Join this chalk talk to learn how you can get started in quantum computing. AWS quantum computing experts show you how to access and use Amazon Braket and run a common quantum algorithm. Then, get your questions answered on how best to explore the space.
Explore this track to learn how to build smarter robots, accelerate time-to-production, and improve performance of robotics fleets. See how customers, from early stage startups to enterprises, use AWS to deliver innovative and scalable robotics solutions that revolutionize industries such as manufacturing, logistics, healthcare, hospitality, and more. In these sessions, learn how to enable your robot with emerging technologies such as ML, video and data streaming, and 5G capabilities. Also learn about the latest technology for managing robotic fleets at scale.
Building autonomous robots requires a multidisciplinary team with specialized skills in nascent technology domains such as AI/ML and simulation. AWS Robotics provides a specialized set of tools and solutions that make it easier and faster for robotics developers to build and operate cloud-enhanced autonomous robots. In this session, learn how to use AWS IoT Greengrass 2.0 to securely and reliably connect your robots to emerging technology areas such as ML, video streaming, data analytics, and fleet monitoring.
AWS RoboMaker provides a fully managed, scalable infrastructure for simulation that you can use to develop and test robot applications. Using simulation enables you to experiment with a variety of edge cases, automate testing workflows, and reduce the cost of robotics development. In this workshop, learn how to build, run, and scale simulations in AWS RoboMaker using the simulator of your choice. Then, get hands-on experience and run some basic tests for navigation and obstacle avoidance. Finally, learn how to visualize and evaluate the results of these tests.
Robotic arms can automate the transfer of objects in industrial applications. As companies scale autonomous operations, robots must be able to operate in highly dynamic environments and respond in real time to unexpected changes. Machine learning can improve the reliability of pick-and-place operations and reduce downtime from unexpected changes in a robot’s environment. This workshop features a hands-on exercise to build, test, and train AI-enabled ROS applications that allow robots to intelligently interact with objects around them. Validate the robot’s behavior in a virtual simulation and then fine-tune your software on physical hardware. A competitive team activity will give you a chance to win AWS SWAG.
In this track, learn how by using AWS you can gain the control and confidence you need to securely run your business with the most flexible and secure cloud computing environment available today. Hear from world-class security experts who monitor AWS infrastructure and also build and maintain AWS’s broad selection of innovative security services, which help you simplify meeting your own security and regulatory requirements. Explore content in this track to learn how AWS can help you automate manual security tasks so you can shift your focus to scaling and innovating in your business.
This workshop is designed to get you familiar with AWS Security Hub, so you can better understand how to use it in your own AWS environment. This workshop has two sections. The first section guides you through a demonstration of the features and functions of Security Hub. The second section shows you how to use Security Hub to import findings from different data sources, analyze findings so you can prioritize response work, and implement responses to findings to help improve your security posture.
In this hands-on workshop, learn how to use AWS Nitro Enclaves to isolate highly sensitive data from your users, applications, and third-party libraries on your Amazon EC2 instances. Explore Nitro Enclaves, discuss common use cases, and build and run your own enclave. During this workshop, learn about enclave isolation, cryptographic attestation, enclave image files, local Vsock communication channels, common debugging scenarios, and the enclave lifecycle. A laptop is required to participate in this workshop, and we’ll provide an AWS account.
In this chalk talk, learn how you can govern and manage service control policies (SCPs) at scale. Discover key design decisions and choices you should consider when using SCPs. Also, learn effective techniques to enforce preventive controls in your organizations while enabling your builders. See a walkthrough on techniques you can use to effectively customize your service control policies to meet your use cases.
Serverless technologies, strategies, and applications enable you to innovate and go from idea to production faster. In the Serverless track, learn best practices and architectural patterns for common workloads, such as web apps, data processing, or streaming. See how to make the most of AWS Lambda, Amazon API Gateway, AWS Step Functions, Amazon EventBridge, AWS SAM, and more. We'll also guide you through the entire application life cycle. If you’re just starting out, you can learn how to build your first serverless application. You’ll then understand core design patterns, how to build a prototype quickly, what security best practices to follow, and how to deploy and operate your application in production at scale. If you’re already an expert, see how to make use of the latest advanced features and how to optimize the performance and cost of your applications.
In this session, get first-hand insight and practical steps for getting started building serverless web applications. This session walks you through the process of evolving that solution from a single AWS Lambda function into a fully-featured web application that uses Amazon API Gateway, Lambda, Amazon DynamoDB, the AWS Amplify Console, and more. Learn why serverless is a great toolset for experimenting with new ideas and projects and how the extensibility and modularity of serverless applications allow you to start small and quickly add features as your needs evolve.
This session explores how to think about security from the front to the back of a typical serverless application. How do you configure AWS serverless services to provide least-privileged access while ensuring functionality? How should you think about managing IAM policies for your AWS Lambda functions? We cover all this and more, leaving you with concrete examples applicable to almost any workload.
Learn how to build a complete serverless web application for a popular theme park called Innovator Island. The theme park is rolling out a mobile app that provides thousands of visitors with wait times, photo opportunities, notification alerts, and language translation for visitors who need it. In this workshop, get hands-on experience building a scalable serverless application with a single-page application (SPA) front-end that delivers a feature-rich user experience.
In this workshop, create your first serverless web application using AWS services like Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. Learn modern development techniques to build, secure, deploy, and monitor a serverless application, and take away serverless best practices that can be applied to your own projects. Come see how quickly you can turn your ideas into working products with serverless application development!
With AWS Lambda, you can write code to process images and files without provisioning servers. But at scale, how do you manage coordinating multiple parallel processing steps, catch errors and retry failures, and keep your code modular and maintainable? AWS Step Functions to the rescue! In this workshop, design and implement a distributed state machine to orchestrate a multistep image processing workflow using AWS Step Functions.
Many organizations, from small startups to large enterprises, are adopting serverless-first architectures to obtain a faster time to market with optimized development and operation costs and higher availability rates. But sometimes, engineering and operations teams find it challenging to instrument, measure, troubleshoot, and monitor these microservice-based workloads without acquiring a new skill set. This workshop walks you through some of the best practices for serverless observability and how to instrument logging, tracing, and monitoring in a serverless application.
This chalk talk discusses what you can do to optimize your serverless applications built with AWS Lambda from the function configuration and in your function code. Learn how you can best measure and tune your function’s performance by configuring memory to get the right application performance. This chalk talk also covers best practices for pre-handler logic and reuse of information to enable fast startup and fast execution of your functions.
Performance monitoring is an important part of any application. By understanding the health of your application, you can proactively react to any signals that indicate it is becoming unhealthy. With serverless applications often built on top of many different services, it can be a challenge to pinpoint the source of an issue without proper observability tooling used throughout. This chalk talk discusses how to add monitoring, logging, and distributed tracing to your serverless applications. See how you can track platform and business metrics, visualize the performance and operations of your application, and understand which services should be optimized to improve your customer experience.
Serverless is more than just using AWS Lambda; it’s about learning to use a range of different services and techniques to solve a problem. How do you approach building a solution with a serverless mindset? In this chalk talk, learn how to tackle a business problem from a customer perspective by breaking down the needs into serverless building blocks that work well together. Learn the power of distributed system design and event-based architecture, and discover how easy it is to turn a flowchart into a model for a serverless application.
To get the most out of the agility afforded by serverless, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features. This chalk talk breaks down the CI/CD pipeline and looks at different technologies that can help you achieve automated deployments. Use AWS Serverless Application Model (AWS SAM), an infrastructure-as-code framework, and other AWS tools like AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy to safely deploy your serverless applications.
In this builders’ session, learn how to use the AWS Serverless Application Model (AWS SAM) and the SAM CLI to expedite serverless application development. Use techniques for local development, debugging, building, packaging, and deployment. Also, discover best practices for code sharing and secret keeping.
AWS offers a complete range of storage services for virtually any application to help you to store, access, govern, analyze, and migrate your data to reduce costs, increase agility, and accelerate innovation. With AWS Storage, you can select from object, file, and block storage services as well as backup and data migration options to build the foundation of your cloud IT environment. In this track, learn best practices for building solutions using AWS Storage services like Amazon S3 and Amazon S3 Glacier, Amazon EBS, Amazon EFS, Amazon FSx for Windows File Server, Amazon FSx for Lustre, AWS Snow Family (AWS Snowball, AWS Snowcone, and AWS Snowmobile), AWS Transfer Family (for SFTP, FTP, and FTP-S), AWS DataSync, AWS Storage Gateway, and AWS Backup. Explore storage solutions for big data analytics and data lakes, data backup, archive, containers and serverless computing, home directories, edge and hybrid cloud, cloud-native applications, and much more.
Amazon S3 and S3 Glacier provide developers and IT teams with cloud object storage that offers industry-leading scalability, durability, security, and performance. This session provides an overview of Amazon S3 and reviews the S3 storage classes and key features across security, access management, storage management, and more. This session covers the S3 durability model and how it is different than other cloud providers. It also covers common use cases, such as data lakes, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big data analytics.
Previously, AWS customers invested in tools to automate the creation of Amazon EBS snapshots and EBS-backed AMIs, writing custom scripts or Amazon CloudWatch rules for EBS volumes and Amazon EC2 instances. This required manually managing the retention and deletion of EBS snapshots according to recovery point objectives (RPO). This session shares best practices for using Amazon Data Lifecycle Manager lifecycle policies to automate the creation, retention, copy, and deletion of EBS snapshots and EBS-backed AMIs to significantly reduce operational complexity.
Data-heavy applications and workloads such as high performance computing (HPC) and machine learning (ML) are driving the next wave of innovation. Amazon FSx for Lustre delivers fast and scalable shared storage to power compute-intensive workloads and is integrated with Amazon S3. FSx for Lustre provides high-performance storage without the overhead and complexity of a self-managed file system. This session discusses common storage challenges, shares use cases and best practices, and shows how FSx for Lustre can help you maximize compute resources and reduce total cost.
In this session, learn about Amazon Elastic File System (Amazon EFS) serverless storage, enabling you to share file data with no provisioning or management required. Learn how to select applications and workloads that can benefit from Amazon EFS’s massive scale, features, and benefits. Leave this session with important details about security, scale, performance, management, storage classes, and data lifecycle management.
Learn how to manage long-term data archiving and digital asset preservation needs with AWS. This session details compliance use cases requiring write-once-read-many (WORM) protection. It also discusses AWS methods for data validation and fixity checking that help ensure your data is available when you need it by using Amazon S3 Glacier and S3 Glacier Deep Archive.
Disasters, failures, and threats come in all shapes and sizes and can significantly impact your business. Attend this session to learn how you can easily and cost-effectively protect your data and applications to meet your business and regulatory compliance requirements and to protect against ransomware. This session discusses architectures for building business continuity and disaster recovery options using AWS services like AWS Backup, Amazon S3, Amazon EFS, and CloudEndure Disaster Recovery, as well as AWS Partners.
Flexibility is key when building and scaling a data lake, and by choosing the right storage architecture, you will have the agility to quickly experiment and migrate to AWS. This session explores best practices for STG304: Building a data lake on Amazon S3, which allows you to leverage industry-leading AWS, open-source, and third-party analytics and ML tools and gain insights from your data. This session also explores how to optimize your storage on Amazon S3 for data lakes, including information on storage classes, S3 access points, and running HPC workloads with Amazon FSx for Lustre.
Modern applications have revolutionized application architecture by using containers for greater portability and/or building applications on serverless infrastructure to optimize compute resources. In this session, look at different storage services, including Amazon EFS, Amazon S3, and Amazon EBS, to help you determine which storage is the best fit for your modern applications.
Designed to provide up to 4,000 MB/s throughput, 256,000 IOPS, 64 TiB storage capacity, and 1,000 IOPS/GB per volume, io2 Block Express offers the highest performance block storage in the cloud. This makes io2 Block Express ideal for your largest and most I/O-intensive, mission-critical deployments of Oracle, SAP HANA, Microsoft SQL Server, and SAS Analytics. Join this session to learn how customers are using io2 Block Express.
A recurring question we hear in the field and with customers is, What data migration service do I choose? This session helps distinguish each and discusses different use cases, including AWS DataSync, the AWS Snow Family (Snowball, Snowcone, and Snowmobile), CloudEndure, Amazon Kinesis, AWS Direct Connect, and AWS DMS. Learn how there is not just one choice, but the option to choose more than one service at a time depending on the need.
AWS Transfer Family currently offers simple and seamless file transfer solutions and works natively with AWS services. Join this session to learn what AWS has on the roadmap to get Transfer Family closer to an MFT solution. This session discusses the future of Transfer Family as the move to MFT occurs and what value AWS provides today.
Learn best practices for Amazon Simple Storage Service (Amazon S3) performance optimization, security, data protection, storage management, and much more. This session looks at common S3 use cases and ways to manage large volumes of data within S3. Learn about the latest performance improvements and how they impact previous guidance. This session also discusses the S3 data resilience model and how the AWS Region and Availability Zone architecture impacts fault tolerance.
Sustainability is top-of-mind in IT environments, and cloud storage helps organizations reduce their carbon footprint by optimizing their storage footprint and energy consumption. This session explores these efficiencies and discusses ways to promote them as part of your organization’s sustainability initiatives.
Do you want to use cloud storage but have workloads in your data center that are not designed for cloud? Do you have remote or even mobile operations that need computing and storage but have no internet access? In this session, learn about the AWS services that seamlessly extend AWS capabilities to support virtually any workload, almost anywhere in the world. Get educated on the continuum of capabilities including AWS Storage Gateway, AWS Snowball Edge, and AWS Outposts storage options that can bring AWS virtually anywhere you need it.
Storage is the lifeblood of your data-driven enterprise. In this workshop, learn how to choose the right Amazon EBS volume type and Amazon EC2 instance to optimize your workload. Discover how a SAN in the cloud delivers performance and availability for business-critical applications like SQL, Oracle, and SAP. Also, learn about workflows (including attaching Amazon EBS volumes to Amazon EC2 instances), high availability and security with Amazon EBS, and managing and automating your cloud storage with Amazon Data Lifecycle Manager and Amazon EBS snapshots. Find out best practices from an Amazon EBS expert for optimizing your cloud block storage.
Amazon S3 Object Lambda works with your existing applications and allows you to add your own code so you can use AWS Lambda functions to automatically process and transform S3 data before returning it to an application. This enables different views of the same object depending on user identity—for example, restrict access to confidential information or disallow access to PII data. In this workshop, learn how to use S3 Object Lambda to modify the object during the GET so you no longer have to store multiple views of the same document.
Organizations have a multitude of options when it comes to cloud storage. In this workshop, learn how to move data to the right type of storage (object, block, or file) at scale and how to work with it after the move.
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. In this workshop, gain hands-on experience integrating AWS Lambda with Amazon S3 and Amazon EFS.
Virtually every enterprise needs a ransomware protection strategy, and backup solutions provide a relatively simple option to reclaim your data assets even in worst-case scenarios. In this workshop, explore options to back up data from on-premises to the cloud, protect data from malicious activity, and recover applications quickly using AWS Cloud resources.
Backup is critical for organizations with regulatory compliance needs, and it’s also the last line of defense against ransomware attacks. In this workshop, explore different scenarios in which you can use AWS Backup to protect Amazon EC2 instances, Amazon EBS volumes, Amazon RDS or Amazon Aurora databases, Amazon EFS or Amazon FSx file systems, and more with simple, auditor-ready compliance reporting.
These days, virtually every application is mission-critical to someone in the organization. In this workshop, build solutions for disaster recovery with different recovery point and recovery time objectives using AWS services like Amazon S3, AWS Backup, and CloudEndure, and explore additional scenarios involving several AWS Partner solutions.
Amazon S3 provides a number of settings to help you secure your data, controls to help ensure that those settings remain in place, and features to help you audit it all. In this workshop, walk through the different capabilities of Amazon S3 and consider scenarios that can help you apply those capabilities to address specific security requirements.
Join the Windows sessions to learn how to migrate, optimize, and better manage Windows Server and SQL Server workloads on AWS. This track focuses on how to maximize the performance of on-premises workloads on AWS, security and identity capabilities with Microsoft Active Directory, advanced tools, and services for migration. Learn how to lower TCO and cost-optimize, apply flexible licensing options, and innovate with managed services and open-source options with AWS. Organizations have been running Microsoft workloads on AWS for over 12 years, longer than any other cloud provider. AWS supports everything you need to build and run Windows applications, including Active Directory, .NET, System Center, SQL Server, Visual Studio, and Windows desktop as a service.
This session discusses how to operate Microsoft technologies securely on AWS, including enabling security best practices using AWS Managed Microsoft AD, building and deploying security-hardened Amazon EC2 Windows images using CIS or STIG baselines, and administering Windows instances securely without RDP. The session also discusses technical requirements to deploy applications that support your compliance efforts with FedRAMP High and other regulated industry compliance regimens.
Looking to reduce costs and improve performance with SQL Server Always On Failover Cluster Instances (FCIs)? Join this session to learn how you can reduce licensing costs and optimize your deployment with correct storage options using Amazon FSx for Windows File Server.
Having migrated your Microsoft Windows workloads to AWS, you need to manage this new environment. Where do you start? With what services? In this workshop, learn best practices and approaches for managing your Microsoft Windows-based infrastructure on AWS. This workshop covers how you can manage Windows servers at scale and maximize cloud benefits with services such as AWS Systems Manager, Amazon CloudWatch agent, AWS CloudFormation, Amazon EC2 Auto Scaling, and Amazon EC2 launch templates. Learn how to build simple and effective solutions to deploy and manage logging, patching, configuration drift, inventory, licensing, and more.
In this workshop, learn how to deploy and manage an Amazon EKS cluster for Windows containers, including handling different Windows versions in the same cluster, setting up gMSA for Kerberos authentication on Windows containers, and managing persistent storage through Amazon EBS volumes.
Do you have Microsoft Windows workloads running on AWS? Are you responsible for ensuring these applications experience no downtime? In this workshop, learn how to apply the Reliability pillar from the AWS Well-Architected Framework to your Microsoft Windows workloads. Learn architectural best practices and how to maximize reliability, design for different levels of availability, and ensure you have a plan in place to recover from failure.
This workshop covers setting up AWS Managed Microsoft AD, extending your directory across multiple AWS Regions, creating a trust with on-premises directories, and verifying on-premises authentication to Amazon RDS for SQL Server resources. Also, integrate your AWS Managed Microsoft AD with AWS Single Sign-On.
Advancements in connected mobility, autonomous driving, electric vehicles, and manufacturing are converging to revolutionize the automotive industry. In this unprecedented age of innovation, automotive companies rely on AWS to fuel their digital transformation efforts to innovate faster while maintaining ownership and control of their data and brand experience. In the Automotive track, hear from AWS customers and AWS automotive experts on how AWS technology is helping the industry transform.
In this chalk talk, dive deep into the architecture and machine learning techniques that Toyota Racing Development (TRD) uses to identify up-and-coming stock car racers and predict race outcomes. We discuss how to ingest and unify telemetry and timing data from various sources within a data warehouse and automate ETL and ML operations workflows. We also discuss how to design and deploy custom TensorFlow models and expose predictions in R Shiny dashboards. Amazon Redshift, Amazon SageMaker, and Apache Airflow are featured in this talk for builders and enthusiasts.
Learn how Torc built a real-time vehicle telemetry dashboard to monitor its autonomous trucking test fleet. Speed to market was critical, so Torc adopted a serverless architecture to deliver its first MVP within 8 weeks. Learn how Torc used Amazon Location Service for real-time fleet tracking and geofencing with visualization of the fleet on a web portal with less than one second of latency. Torc is working on adding AWS IoT Greengrass v2 at the edge along with a video streaming feature for displaying data from onboard cameras.
New consumer behaviors, technologies, and markets present new opportunities for consumer packaged goods (CPG) companies. Firms that can rapidly innovate and adapt to the post-pandemic environment win disproportionately in the market. These forward-thinking companies are innovating how they make, move, and market their products using the cloud, IoT, machine learning, and personalization. In this track, learn how CPG leaders harness the power of the cloud to eliminate data silos, drive better insights, and delight consumers.
Managing data at scale requires consumer packaged goods (CPG) companies to consider a new approach to data management with a data mesh. While data lakes help companies ingest large amounts of information, it can be challenging when the data scales to petabytes with numerous data sources. In this chalk talk, learn from AWS CPG experts about how you can use data meshes to connect disparate data sources, create microservices to speed transactions, and collaborate with third-party providers while protecting consumer privacy and managing data at scale.
Financial institutions have moved beyond building out their foundations and are focusing on scaling sustainably to support their business growth in the cloud over the next 5–10 years. In the Financial Services track, hear directly from leading financial institutions that are harnessing AWS to become more secure and resilient, modernize their application development, make better use of their data, explore new market opportunities, and transform their customer engagement models.
Standard Chartered Bank (SCB), a global bank serving customers in 60 markets, is launching a cloud-first strategy. One of SCB’s lighthouse projects is the migration of its core banking system, Atlas, to AWS. As a tier 1, highly regulated workload, Atlas requires exceptional levels of security, availability, and auditability. This session shares how SCB migrated Atlas to AWS, lessons that the company learned, and the benefits of this migration, including enhanced reliability and performance. In particular, learn how SCB moved from Db2 to Amazon Aurora PostgreSQL, which has advanced compliance and resilience features that were critical to the successful migration.
How can financial institutions provide builders self-service access to AWS while still ensuring their security and risk mitigation objectives are met? A common approach is to document these objectives and manually inspect AWS CloudFormation templates to determine compliance. Alternatively, you can express these objectives in policy languages like Open Policy Agent (OPA) and AWS CloudFormation Guard 2.0 (cfn-guard). In this workshop, gain hands-on experience writing OPA and cfn-guard policies for network accessibility, encryption of data at rest, least-privileged access, and other controls common to financial services organizations. Review both local and deployment pipeline execution modes.
Initially driven by regulatory requirements in banking, financial institutions from insurers to credit card companies are now adopting open APIs to deliver better customer experiences. The open finance concept calls for greater collaboration between financial institutions and financial technology companies to meet customers’ changing needs. This chalk talk details how you can implement Open Finance, an Amazon API Gateway-enabled solution that facilitates the sharing of financial products, data, and services. See a walkthrough of how to use AWS APIs to deploy open finance solutions to personalize products, create business agility, and empower customers with more control over their finances and data.
Data—and the ability to unlock value from it—is one of the most important assets of a modern enterprise. But creating efficient ways to extract, process, store, and reference unstructured data locked in PDFs, images, and static documents can be challenging. This chalk talk introduces an open-source solution to stand up a serverless, file-agnostic document processing pipeline, complete with data lineage and metadata services. Learn how this solution effectively manages costs, even at scale, and keeps security and innovation at the core of the design. Finally, get a chance to share your own potential use cases and discuss pipeline workflows to address their requirements.
Behind great games, developers of all sizes are using AWS Game Tech to build faster, run smarter, and grow amazing player experiences. Hear from industry-leading developers and decision-makers who are using cloud technology to invent and deliver the next generation of games. Learn first-hand how to break free from traditional on-premises solutions, move game production processes to the cloud, use analytics and machine learning to better understand and optimize player experiences, and build connected worlds that scale to millions of players at launch and support millisecond-low-latency game sessions, wherever and however they play.
Riot Games develops, publishes, and supports some of the most player-focused games in the world, including League of Legends, one of the world’s most played PC games and a key driver for the explosive growth of esports. In this session, learn how Riot Games orchestrated the successful global deployment of its latest 5v5 character-based tactical shooter, Valorant. Using AWS services, including AWS Outposts and AWS Global Accelerator, Riot rapidly deployed and scaled game servers to millions of players around the world and reduced latency by up to 20 milliseconds to provide players with a seamless real-time gaming experience.
Sony Interactive Entertainment is a global leader in digital entertainment, responsible for creating the world-renowned PlayStation family of products and services. In this session, see how Sony prepared to usher in the next generation of games and launch the PlayStation 5 (PS5) to critical acclaim against the backdrop of a global pandemic. Learn how Sony delivered the PS5 without downtime to millions of players around the world using a coordinated-operations planned response program and a robust, scalable, and secure infrastructure that utilized AWS services including Amazon EKS, Amazon EC2, Amazon Route 53, and Amazon CloudWatch.
In this gamified workshop, learn how to develop, launch, and operate a video game on AWS. Test your skills in implementing AWS solutions to solve real-world problems seen by developers to support day one of a game launch. Set up servers that scale to millions with ease and provide players with a bug-free, fun, and low-latency experience with AWS services, including Amazon EC2, Amazon ECS, Amazon EC2 Auto Scaling, and Elastic Load Balancing.
Break free from the restrictions of on-premises hardware and extend the flexibility, scalability, and cost benefits of AWS to iOS game development. In this workshop, walk through the steps to run your build pipeline in the cloud using Amazon EC2 Mac instances and EC2 Linux Spot Instances. Learn how to reduce the time and resources previously spent building and maintaining on-premises macOS environments. Focus entirely on the fun stuff by using AWS to provision and access macOS environments within minutes, reduce costs, and improve scalability and performance to develop, build, test, analyze, and improve iOS games.
Players expect globally available, low-latency, lightning-fast gameplay as standard. But your global game server strategy shouldn’t come at a cost. In this chalk talk, discover how to deliver a faster, high-performance networking and game server strategy for your games, regardless of device or genre, using AWS edge computing. Learn how to ensure a global presence by moving infrastructure closer to your players and providing a seamless experience without compromising cost or operational overhead. Accelerate content delivery with Amazon CloudFront, extend your architecture to the edge with AWS Outposts, and optimize user traffic to reduce packet loss and deliver low-latency experiences with AWS Global Accelerator.
Long player wait times and unstable game sessions can make even the most entertaining games unplayable. In this chalk talk, learn how to route players into game sessions faster and more efficiently and deliver seamless, low-latency experiences to gamers, wherever and however they choose to play. Explore different architectures to help you find the perfect networking and game server solution—whether you choose to gain granular control over processors, storage, and networking with Amazon EC2, run containerized microservices with Amazon ECS, or let Amazon GameLift handle the heavy lifting of deploying and managing dedicated game servers.
AWS accelerates the digitization and utilization of healthcare data by providing the broadest and deepest portfolio of cloud services, including health-specific offerings. AWS combines these services with unmatched reliability, security, and data privacy to enable organizations in this highly regulated industry to increase the pace of innovation, unlock the potential of data, and develop a more personalized approach to care. The Healthcare track features AWS customer-led sessions focused on each of these critical components to help you accelerate the transformation of healthcare.
This technical chalk talk dives deep on how to develop a patient outcome prediction solution. It covers deep learning modeling techniques, feature embedding, and engineering tips, as well as visualization techniques to improve interpretability.
AWS technology enables healthcare organizations to connect with their patients where they are and when they need help, mixing virtual visits with in-person care. Learn how to create a HIPAA-eligible virtual care solution by combining Amazon Lex, Amazon Polly, Amazon Connect, and others.
Explore this track to learn how AWS enables pharma and biotech companies to transform every stage of the pharma value chain with services that enhance data liquidity, operational excellence, and customer engagement. AWS is the trusted technology partner for life sciences, with the cost-effective compute and storage, machine learning capabilities, and customer-centric know-how to help companies embrace innovation and bring differentiated therapeutics to market faster.
This chalk talk covers considerations and best practices for building, or moving, GxP regulated workloads to the cloud. Learn how to architect with a regulated cloud-native mindset and benefit from increased agility, automated audit controls, and improved security controls.
Mining social media data provides valuable, rich data points for pharmacovigilance programs. Learn how organizations are building, training, and deploying an adverse drug reaction (ADR) natural language processing (NLP) classification model to strengthen post-marketing surveillance.
For more than 25 years, Amazon has designed and manufactured smart products and distributed billions of products through a globally connected distribution network using cutting edge automation, machine learning and AI, and robotics with AWS at its core. From engineering design to production optimization and smart machines or products, this track helps manufacturers learn how they can transform their manufacturing operations with the most comprehensive and advanced set of cloud solutions available today, while taking advantage of security designed for the most sensitive industries.
Bring your laptop and basic console knowledge to this hands-on workshop to get direct experience applying AI and ML to industrial operations use cases such as predictive quality and rotating equipment condition monitoring. Learn how to use a sample product quality image dataset to build and train an ML model with Amazon Lookout for Vision to detect quality issues on a production line. Also, use a sample compressor dataset and the Amazon Lookout for Equipment service to monitor the condition of rotating equipment, detect equipment anomalies, and ultimately enable a predictive maintenance program.
Hear how Amazon applies OT security in fulfilment centers in this chalk talk, which dives deep into AWS OT security best practices for building an industrial hybrid cloud environment. Smart factory technologies like IoT, machine learning, and data lakes are rapidly evolving and allowing industrial companies to deliver solutions that drive business outcomes. Learn key guidelines used to deploy these technologies in a manner that addresses the cybersecurity risks over the life cycle of the solution.
Analyzing the massive quantities and types of data generated in an industrial setting can enable effective predictive maintenance, improved production forecasting, improved quality, and better visibility into production optimization opportunities. An industrial data lake is foundational to help manage and store structured and unstructured data, enabling industrial organizations to unlock operational insights for their factory digital transformation efforts. This chalk talk walks through the steps to building an industrial data lake on AWS with a sample reference architecture from an existing AWS industrial customer.
Traditional manufacturing execution systems (MESs) are historically based on rigid, legacy technology-based systems or even more challenging on-paper-based inputs. Manufacturers often perceive MES digital transformation as slow, complex, and expensive. As these companies digitally transform their operations, they are often looking at how the cloud can be used to modernize their MES applications. This chalk talk dives deep into best practices for migrating and building a hybrid, cloud-hosted microservice-based MES application.
Media and Entertainment (M&E) companies are reinventing how they create content, optimize media supply chains, and compete for audience attention. In this track, industry leaders share how they are pioneering new ways to entertain, launch services, expand offerings, and set new paradigms with audiences for viewing experiences. Learn how AWS is making it easier for M&E companies to select the right tools and partners for their highest-priority workloads, accelerate launches, and see faster time to value.
Content creators, rights holders, producers, broadcasters, and distributors continue to face industry-wide disruption and transformation. The increased pace of innovation in media technologies—along with resiliency requirements and the demands of global audiences for high-quality live, on-demand, and personalized content—continues to be a challenge. Learn how AWS for media and entertainment simplifies using the cloud to build, deploy, and reinvent workloads, making it easier to select the right tools and partners for your highest-priority workloads, accelerate production launches, and see faster time-to-value. Hear how customers are creating content in the cloud, modernizing their broadcast and over-the-top distribution, and increasing customer engagement.
The world of content production in media and entertainment is evolving quickly. Studios have to find new ways for staff to work remotely while keeping pace with unprecedented audience demand for premium content. From on-set production to post-production, creative people are pushing technology and challenging traditional models to find new ways to deliver entertainment content while maintaining, or increasing, project quality. Learn how AWS is innovating with new services and by working with partners to help creative customers navigate remote work and achieve the scale they require to deliver projects faster than ever before.
Learn directly from AWS customers and our own utility industry experts about the latest cloud-based innovations in digital customer engagement, AI/ML for grid and wind energy forecasting, grid decarbonization, and partake in a hands-on workshop for Meter Data Analytics on AWS.
Gaining insights from smart meters requires efficiently collecting, storing, and processing meter reads. The AWS Quick Start Utility Meter Data Analytics on AWS deploys a best-practice architecture and prepackaged processing pipeline to prepare meter data and train ML models for forecasting and anomaly detection. This workshop focuses on the Quick Start itself. Work hands-on with the different components ranging from data ingestion, data processing, and ML model training to data visualization. After exploring the basic features, extend the built-in capabilities with new requirements and see how easily the platform can be adapted to your business needs.
Utilities forecast load at various levels, from customer premises up to the transmission system and from hours to years ahead. Load forecasting plays a key role across a utility, from supply chain and market participation to grid planning and customer engagement. It directly impacts business goals such as carbon neutrality. The accuracy of these forecasts is of critical importance, as 1% reduction in errors can lead to hundreds of thousands of dollars in savings. This chalk talk dives deep on architectural patterns that enable highly accurate and easy-to-implement customer-level and feeder-level load forecasting.
With the accelerating deployment of wind generation comes the need for cost-effective and highly scalable solutions to match the high volume and velocity of data these assets produce. In this chalk talk, we share the architecture created for Greenko, one of the leading renewable energy companies in India with 7.3 gigawatts of installed capacity powering more than 4 million households. Using AWS IoT services, this proof of concept is securely connecting 100 wind turbines (over 90 tags per turbine) from Kepware/edge gateway devices, streaming near-real time turbine data to the cloud, and hydrating an IoT data lake and powering live dashboards for real-time situational awareness.
Decarbonization is a key business goal for most utilities around the world. While a growing portfolio of DERs and an evolving electricity generation mix will address this goal over the next several years, volt-VAR optimization (VVO) can help utilities lower their carbon footprint today. VVO is extremely effective, as illustrated by Ameren Illinois’s report to the Illinois Commerce Commission, which targets a VVO solution to deliver 422 gigawatt-hours of annual energy savings by 2025. Assuming carbon emission equivalent to the US average of 0.92 pounds per kilowatt-hour, this VVO solution could produce a carbon reduction of 175,900 metric tons annually.
AWS is how communications service providers (CSPs) are reinventing communications. In the Telecommunications track, learn how AWS enables CSPs to cloudify their businesses and differentiate at every stage of the customer journey. Discover how, together, we are building secure and scalable software-driven networks, simplifying operations, and reimagining the customer experience to accelerate the innovations that will unlock tomorrow’s growth and monetize 5G.
Join this workshop to learn how communication service providers (CSPs) can break free from data silos, democratize their data, and generate insights using AI/ML and data analytics services. Identify telecom-relevant datasets to define and discuss three different use cases: predictive maintenance, optimizing the network for slicing and performance, and customer service with predictive analytics. Build data pipelines to ingest and transform the datasets; also, explore how to build a governance layer using AWS Lake Formation to establish a permission model across all datasets to enable fine-grained security access.
Listening to our telecom customers, we see that the move to 5G is a force in modernizing the hybrid network application landscape across operator environments. Modernization of the application ecosystem to deliver new experiences is no longer a priority just for cost improvements for telecom operators. AWS’s edge computing service (AWS Outposts and AWS Local Zones) and managed Kubernetes (Amazon ECS and Amazon EKS) offer a path for telecom operators in this modernization. Join this chalk talk to learn how AWS is defining the hybrid architecture for telecom solutions and 5G use cases.
Listening to our telecom customers, we have identified a number of common challenges that we can address via telecom data lakes. In this session, learn how the telecom data lake solution can help users solve challenges like data silos, data ingestion, data cataloging, governance, and data preparation for insights. Key to this is ingesting data from disparate applications and proprietary sources. Also, see how serverless architecture can decode, format, and then prepare this data for analysis and insights.
The theme for the Travel and Hospitality track is “Building What’s Next.” Travel and Hospitality companies have always innovated through disruption, and that is particularly true today. We’ve seen this proven time and again with customers using AWS to improve operational efficiencies and enhance the customer experience—even when faced with a global pandemic. The Travel and Hospitality breakout content features C-level executives sharing strategic observations and technical insights around how data will drive recovery, and the chalk talks go deep into practical solutions. We know innovations, born out of disruption, will impact and improve the way we fly, sleep, eat, and experience the world in the years ahead; discuss the path forward in this track.
Travel and hospitality companies seek to transform their businesses through enhancing customer experiences and increasing operational efficiency. Doing this requires using the incredible amount of data inherent in modern companies, in a flexible, scalable, and cost-effective way that breaks down data silos, allows for rapid development of microservices, enables self-service, and facilitates experimentation at scale. In this session, learn how leading travel and hospitality companies are turning their data into insights and business results with AWS, accelerating recovery, and building what’s next on behalf of their customers.
The COVID-19 pandemic forced air travel companies to innovate in ways that will impact and improve the way people fly for years to come. Whether you’re a travel and hospitality executive looking for practical advice or a curious traveler wondering how your customer experience will be different in the future, join this session to learn how airlines and airports are using the power of AWS, including machine learning, data, and analytics, to build what’s next in air travel.
In this chalk talk, learn how to use the data mesh methodology to build a data lake/lake house architecture and an operational data store for customer and operations data with the ability to separate compute and storage and implement schema-on-read. Discover how to do so using NoSQL databases and implementing open standards like Parquet, JSON, and Avro to meet the needs of the agile enterprise. Finally, learn how this method democratizes access to data and accelerates the building of digital applications while reducing the total cost of ownership.
In this chalk talk, learn to create a 360-degree view of travelers and guests by leveraging customer data management tools (MDMs) for known customers and customer data platform tools (CDPs) for anonymous customers. Discover how to derive customer insights and use them to provide personalized offers and interactions in the digital channels and contact centers.
Join this chalk talk to learn about the common characteristics of successful cloud migrations, compiled from the experiences of and lessons learned by AWS customers and AWS Partners around the world over the last few years in countless successful travel and hospitality (T&H) cloud migration projects.
Third-party online ordering aggregators and delivery marketplaces have changed the way people order from restaurants. Last year, the COVID-19 pandemic accelerated the adoption of these services. Restaurants with existing connections to third parties bolstered integrations, while restaurants without scrambled to integrate with partners like DoorDash, GrubHub, Olo, Postmates, and Slice. Customers expect high levels of service from restaurants, and the differences between third-party and first-party channels mean that new technology approaches are required. AWS’s serverless computing provides ways for restaurants to quickly build and integrate with online ordering partners while improving scalability and reliability and reducing operating costs compared to traditional approaches.
Airlines and hotels are experts at delivering guest experiences with the charm of traditional hospitality. They are now realizing the potential of cutting-edge technology to deliver transformative guest experiences and drive brand loyalty. In this chalk talk, learn how to use the possibilities of the AWS Cloud to create seamless, elevated, and memorable experiences throughout the guest journey: before they book, during their stay or flight, and after they depart. Learn about building technology solutions for use cases like messaging platforms, experience automation, and contactless experience.
With over a million active customers and a global cloud presence, AWS has proven experience in helping enterprises migrate and modernize with the cloud. The Enterprise and Migration track shows you how you can transform your business by migrating your existing application portfolios to the cloud and how AWS people, programs, and services can help you get started with your migration and modernization journey. Through AWS expert-led breakout content, learn how to transform your applications and infrastructure and dive deep into migration and modernization techniques for common enterprise workloads, such as SAP, VMware, and Mainframes. Discuss areas of opportunity for investment through content focused on enterprise strategy and cost management. See how AWS Professional Services and AWS Support can accelerate your cloud journey through AWS Customer Enablement sessions.
Whether you’re just starting out on your hybrid cloud journey or you’re well established, there’s always something new to explore. For the past five years VMware and AWS have been jointly engineering solutions to support customers’ evolving hybrid cloud needs. In this session, focus on best practices for moving your on-premises VMware workloads to AWS with VMware Cloud on AWS. Next, discover options for modernizing these workloads with AWS services. Lastly, dive into AWS and VMware’s newest joint offering, VMware Cloud on AWS Outposts, which is designed to support your applications with latency and local data processing requirements.
Large-scale migrations require meticulous planning, which makes it very important to get discovery efforts right early in the journey. This workshop dives deep into how you can discover, plan, and learn how to execute your migration at scale using a factory approach.
AWS provides several migration and modernization services. This workshop dives deep into how you can effectively use these services to modernize your applications using known patterns, such as the strangler pattern. A laptop is required to participate.
With AWS App2Container, you can modernize your existing applications and standardize the deployment and operations of those applications through containers. In this workshop, you modernize an application using App2Container—analyzing, containerizing, and deploying to Amazon ECS.
Creating an enterprise transformation strategy and journey is a complex endeavor. In this workshop, enterprise executives can work through the AWS Transformation Guide (ATG) and leave with customized transformation roadmaps for their organizations that can be implemented immediately. The ATG is based on deep expertise gained through experiences across hundreds of successful enterprise transformations. It provides simplified, prescriptive guidance with clear next steps and AWS programs to use that accelerate outcomes across key domains, including innovation, insights, modernization, culture change, operating models, security, and governance.
If your organization depends on VMware, the AWS and VMware partnership provides a simpler, faster, and more cost-effective path to hybrid cloud, while leveraging your current VMware skills and experience. In this workshop, gain hands-on experience using VMware Cloud on AWS to build a best-of-both-worlds hybrid cloud environment. Dive deep into the four most popular use cases: data center extension, disaster recovery, cloud migration, and application modernization. Learn how to set up VMware Cloud on AWS and integrate native AWS services with your VMware workloads. Please bring your laptop and power supply.
In this workshop, learn how to solve common business problems using native AWS services in conjunction with SAP applications. You first build a data extraction layer from SAP and use AWS Glue and Amazon QuickSight to visualize the data. Then you implement a machine learning pipeline with Amazon SageMaker and Predictive Maintenance and with AWS IoT and SAP.
This workshop walks you through the activities required to migrate and modernize a mainframe COBOL and JCL application to AWS. It includes analyzing the mainframe assets, migrating COBOL, migrating the VSAM data to Amazon Aurora PostgreSQL, and testing the migrated application.
Modern applications are built with modular architectural patterns, serverless operational models, and automated software delivery processes. These patterns allow businesses to innovate faster while reducing risk, time to market, and total cost of ownership. In this hands-on workshop, walk through some of the patterns and learn how to pick and use the right services as part of your modernization journey.
In this workshop, learn how to automate lift-and-shift migrations of SAP ERP Central Component (ECC) and SAP S/4HANA using AWS Application Migration Service (AWS MGN). Start by converting source servers to AWS automatically and without time-intensive, error-prone manual processes. Then, perform a series of nondisruptive tests to ensure ERP systems will continue to function seamlessly. Finally, execute the cutover and set up monitoring for system performance, reliability, and security.
Java 2 Platform, Enterprise Edition (J2EE) specifications have evolved over time, resulting in multiple versions and variants used by different application teams. In this chalk talk, learn how to arrive at the right modernization pathway for applications relying on legacy J2EE versions and variants as well as how AWS services help to modernize them.
How do you know if VMware Cloud on AWS is a good fit for your organization? Come to this chalk talk to find out. No two customers are the same—and neither are their deployments. So how does VMware Cloud on AWS scale to meet your organization’s needs? How do you scale it with AWS services included? And what if you have a global footprint? In this chalk talk, look at how to stand up a software-defined data center (SDDC) and discover the answers to these important questions as well as any questions you have.
The Global Partner Summit is designed to help AWS Partners navigate their journey within the AWS Partner Network (APN). Learn how AWS can help you build, market, and sell your AWS-based offerings, and how to leverage AWS technologies to serve your customers’ needs.
Enterprises are adopting cloud-native technologies and modernizing their applications to gain cost savings, agility, and innovation. This session focuses on the building blocks of successful large-scale modernization projects. Learn from customer case studies about the modernization journey to serverless, modernization patterns, and antipatterns. See a live demonstration on modernization patterns to help you gain a deeper understanding. Walk away from this session with everything you need to provide customers with prescriptive guidance on accelerating their modernizations to AWS. This session is intended for practitioners who are engaged in enterprise migration and modernization projects.
Today, companies of all sizes have the tools and technology to support employees working from anywhere and the ability to do so productively, but getting there took decades. The next revolution in remote work is happening before our eyes in months, not years. Join this session to see how leading companies are maintaining a culture of employee productivity while adapting to generational changes in the workforce. Explore digital workplace solutions and how customers use AWS to enhance their productivity and enable growth of their enterprise by managing their endpoints, applications, and collaboration platforms.
This session is for established and prospective AWS Partners who offer consulting, professional, and managed services. Learn how to effectively engage in joint go-to-market and selling activities with AWS for your services solutions. Learn more about the various programs, tools, resources, and best practices to help you differentiate yourself as an AWS Partner and build trusting, long-term, successful sales partnerships.
This session is for established and prospective AWS Partners who offer software products. Learn how to effectively engage in joint go-to-market and selling activities with AWS for your software solutions. Learn more about the various programs, tools, resources, and best practices to help you accelerate engagement with AWS and further promote your software solutions to customers.
EKSworkshop.com is one of the primary mechanisms AWS uses to educate both AWS Partners and customers about the features of Amazon EKS. The intent is to provide AWS Partners and customers with hands-on experience building, deploying, and running applications using Amazon EKS. This workshop dives deep into Amazon EKS, covering topics such as observability into your cluster and workloads; continuous delivery with GitOps; and security, networking, and general Kubernetes concepts.
Join this workshop to get hands-on experience with AWS and serverless applications. Learn the core concepts of building completely serverless applications and microservices using services like AWS Lambda, AWS Step Functions, Amazon API Gateway, Amazon DynamoDB, Amazon Kinesis, and Amazon EventBridge. Build a scalable, serverless application with a single-page front end that delivers a feature-rich user experience. Leave this workshop with a better understanding of event-driven computing and real-time messaging as well as practical hands-on experience deploying a serverless mobile front end and using IoT to send messages to thousands of users in real time.
Virtually every application will have embedded AI capabilities in the future. While some AI applications require custom machine learning models, most of them are served by AI services that developers can access with simple API calls. In this workshop, learn how AI services such as Amazon Rekognition, Amazon Transcribe, and Amazon Textract make it easy to infuse applications with AI without having to build and train algorithms. Using the AWS Solution Implementation Media2Cloud as a backbone, develop an application that processes video and documents using AI APIs and extracts their detailed data for downstream processes.
Amazon Redshift is a fast, fully managed, petabyte-scale, cloud-native analytics data warehouse. A large number of organizations are migrating their current data warehousing systems into Amazon Redshift to take advantage of better performance and scale, lower costs, the ease of use of a managed service, and data lake integration. Amazon QuickSight is a scalable, serverless, cloud-powered business intelligence (BI) service that makes it easy for you to publish insights through interactive BI dashboards. Join this workshop to learn and practice how to modernize and migrate legacy data warehouse systems to Amazon Redshift and how to migrate your BI dashboards to Amazon QuickSight.
Data-centric AI is the practice of improving machine learning (ML) systems by focusing on improving the datasets that serve as the lifeblood of ML models. This is generally the best approach for practitioners who need to deliver quick and impactful results. In this workshop, learn to drive a data-centric AI process using Snowflake and Amazon SageMaker’s integrated capabilities. Discover a method that facilitates data enrichment, rapid experimentation, and accelerated model operationalization.
Augmented, virtual, and extended realities, collectively known as spatial computing, have far more functional uses beyond gaming. Join this interactive chalk talk to get a better understanding of how these recombinant technologies are changing the business of retail, marketing, manufacturing, education, and other industries by evolving services into experiences that provide business users the data they need, when and where they need it, in the ideal format for human physiology. Learn how your team can build a spatial computing experience on AWS, complete with a 3D asset pipeline and delivery to edge devices anywhere in the world.
Government, education, nonprofit, and healthcare organizations face unique challenges to accomplish complex missions with limited resources. Hear how public sector organizations have used the power and speed of AWS to serve citizens more effectively, achieve scientific breakthroughs, reach broader constituents, and put more of their time and resources into their core missions.
AWS GovCloud (US) gives customers and their partners the flexibility to architect secure cloud solutions that comply with some of the strictest US compliance regulations. From Controlled Unclassified Information (CUI), personally identifiable information (PII), sensitive patient medical records, and financial data to law enforcement data and export-controlled data, AWS GovCloud (US) can help you address some of the most stringent security and compliance requirements at every stage of your cloud journey. Join this workshop to dive into the basics of how AWS and AWS GovCloud (US) Regions can help you address these stringent security, compliance, and governance requirements.
Organizations are using satellite data in their workflows to accelerate research, development, and growth. In this workshop, learn how to integrate satellite-based data into your business. The workshop begins with a short overview of how to use AWS Ground Station service to load satellite data into your Amazon S3 bucket. Then, break into groups for a hands-on workshop where you perform the entire process: onboard a satellite into AWS Ground Station, define a mission profile, schedule a contact, downlink simulated data, and process data on AWS to create your own satellite imagery product.
The AWS Open Data Sponsorship Program hosts an increasing amount of weather and climate data from national hydrometeorological agencies that can be accessed by anyone at no cost. Join this chalk talk to learn how AWS services including Amazon S3, Amazon Athena, AWS Fargate, and Amazon EKS can be used to store, process, and analyze weather and climate datasets. See how data analysis can help you solve practical problems, like how hot it will be tomorrow, if your building will flood more frequently over the next 100 years, or how much solar power you will generate in the next hour.
There’s a reason more startups build on AWS than anywhere else. The Startup track features talks from leading startups that successfully scaled through rapid growth and even made the leap to enterprise. Connect with technical experts to solve common issues side-by-side, and hear stories from inspiring startups that are pushing boundaries with innovation. Hear about leadership strategies that help you adapt and technical solutions you can deploy now for a stronger and more scalable future.
The future of fintech is powered by blockchain. To build out next-gen solutions, blockchain and digital asset fintech startups rely on AWS technologies like Amazon Redshift, Amazon RDS, Amazon EC2, and artificial intelligence (AI) and machine learning (ML) services. Learn about non-fungible tokens and the opportunities that come with them and why infrastructure matters most when building distributed services that demand critical security, stability, and accessibility.
The road to an IPO comes with scale—the ability to build, organize, and govern an offering that continues to deliver on its core promise. When the time comes for your startup to go public, you need an infrastructure that’s ready to function effectively and to accommodate an influx of users, data, and demand. Learn how to establish architecture and governance for scale and to prepare the engineering landscape for IPO or acquisition. Embrace must-learn lessons for any startup in late-stage alignment or on the cusp of acceleration in public markets.
Startups need to find the right balance between productivity, efficiency and performance—all while focusing on security and compliance. In this workshop, explore how to integrate, retrofit, and implement security and compliance best practices. Transform an existing product using 20 practical steps over the course of five hands-on labs. Follow OWASP DevSecOps guidelines to address secrets management, static and dynamic application security checks, infrastructure and AWS security assessment, and multiple compliance-check integrations. Also discuss security controls for large-scale DevOps strategies and the importance of promoting secure builder culture at every phase of growth.
Backend problems don’t only affect front-end performance—they have wide-ranging ramifications for the integrity, trust, and success of a startup. Learn how to avoid outage issues, security incidents, and escalations with tips from leading startups that have put a premium on digital stewardship. Listen as AWS solutions architects explore common support cases and the best practices for addressing them, with actionable takeaways to protect your startup’s digital integrity. Explore AWS tools designed to keep your MVP live, secure, and well-managed.
Merger and acquisition activities are common as startups ramp up toward IPO. Whether you’re the acquirer or the target company, the key to a smooth acquisition is in preparation. In this chalk talk, we cover both sides of the transaction to help prepare you for what comes next. As the target company, learn how your technology portfolio and architecture impact your valuation and how to achieve rapid separation with a turnkey hand over of systems. As the acquirer, explore value acceleration by eliminating nondifferentiated work and fostering rapid innovation in the combined company.
Do you want to see code in action? This track is specifically built for engineers and led by our most technical developer advocates. Each session features two subject matter experts who guide you in solving a wide range of real-world problems. They’ll discuss options, walk you through a solution connecting multiple AWS services together, and share code with you. Solutions factor in production concerns such as security, scaling, and automation. Join us, have fun, and learn how to push the boundaries of cloud technology for faster and better innovation. It’s time to BuildOn!
Amazon S3 and Amazon EC2 are turning 15 this year, and Jeff Barr, VP and Chief Evangelist at AWS, has been at Amazon even longer! In this breakout session, have a chat with him about how AWS was born, how the developer experience has evolved over the years, and how customers keep surprising us with their amazing projects. Along the way, Jeff also answers questions sent by the developer community and shares lessons on how to best build on AWS. Last but not least, go back in time as Jeff demos AWS as it was in 2007.
Modern applications are built by connecting multiple services together. What is the best way to coordinate the work of these different services? A strict workflow-based orchestration enforced from the outside, or an event-driven choreography that tells each component what it should listen to and what events it can produce? In this breakout session, dive into the possible options, and the pros and cons in different contexts, using a reference application and services like Amazon EventBridge and AWS Step Functions.
Looking for your next favorite beer? By entering your preferences in our Craft Beer mobile app, you will instantly receive personalized recommendations generated by machine learning models. Your real-time feedback will be taken into account to improve future recommendations. In this breakout session, learn how to build a mobile app backed by AWS Amplify, AWS AppSync, Amazon DynamoDB, Amazon Cognito, Amazon Location Service, and more. Also learn how to build and deploy models with AI and machine learning services, such as Amazon Personalize, Amazon Rekognition, and Amazon SageMaker.
Whether you work in the cloud, on-premises, or using a hybrid architecture, implementing and managing container-based applications should not be a headache. In this session, learn how to use the Twelve-Factor methodology to make container-based applications easier to build and manage, more resilient, and more secure. Then, learn how to seamlessly and automatically deploy containers in the cloud, on-premises, and on a cluster of Raspberry Pis, using AWS and managing infrastructure as code.
Time-series data can be found anywhere, from DevOps metrics to gaming applications and IoT devices. Traditional operational or analytical databases do not fit the time-series model and can be complex to manage and difficult to scale. On AWS, there are many purpose-built tools that can help. In this session, see how you can put these tools together, build an end-to-end solution integrated with your data lake, analyze data in real time, explore and query historical data, process data through a complex event platform, and publish results in a dashboard.
Are you struggling to move your workloads to the cloud? Sometimes uncertainty, lack of skills, and missing a clear plan can delay migration. In this workshop, get the migration patterns and the guidance you need, from lift and shift, to the Strangler pattern, to containerization and more! This workshop is a choose-your-own adventure where you’ll understand your options to move legacy applications to AWS, remove blockers, and optimize your workloads in the cloud.
Well-architected applications are designed and built to be secure, high-performing, and resilient. You need to test each application to validate that it operates as designed and is resilient to failures. In this workshop, learn how to apply chaos engineering using AWS Fault Injection Simulator—stress your application, simulate disruptive events, and observe how the system responds. This enables you to iteratively improve the resiliency and performance of your system using architectural best practices.
In an age where security is paramount and every millisecond in load time matters, any technology that gives developers an edge is important. In this workshop, optimize an application to respond to requests in milliseconds and provide additional security capabilities, first using Lambda@Edge and then with CloudFront Functions. Experience the difference between implementations of the two technologies to the same end goal, and make an informed decision about which solution works best based on different scenarios.
Continuous integration and continuous deployment (CI/CD) allows development teams to be agile, respond to rapid business changes, and improve software quality. AWS customers are using managed services such as AWS CodePipeline and AWS CodeBuild to automate their CI/CD pipelines and AWS Device Farm to test their applications. But what about developers who build iOS, tvOS, or watchOS applications? These require Apple machines running macOS. In this chalk talk, learn how to combine these two worlds. Orchestrate and automate building, testing, and deployment using CodePipeline and Device Farm, and delegate building and testing to Amazon EC2 instances running macOS.
Do you want to get into AI/ML and IoT with a fun and hands-on approach? In this chalk talk, see how to create an immersive gaming experience in Minecraft by interacting with IoT sensors and ML models. Learn how to combine your connected devices and their sensors with AWS IoT and integrate them with computer vision in Amazon Rekognition as well as text-to-speech in Amazon Polly. We will use a Minecraft Steve robot device with sensors, actuators, and a camera as a world gateway (using AWS IoT Greengrass performing local and cloud inferences in ML models).
Maintaining velocity with backend and front-end teams working on the same application can be difficult. Each team often uses their own tools and methodology, making it harder to deliver high-quality full-stack applications in production. In this chalk talk, learn how GraphQL interfaces simplify using a single backend with multiple front-end technologies such as iOS, Android, or web. Also learn how to manage the lifecycle of full-stack applications and implement best practices for CI/CD, infrastructure as code, and AWS.
No matter what project you’re building, as a developer, you want to know which building blocks to pick and how to use them. How do you learn, experiment, and build on AWS while keeping your costs low? In this chalk talk, walk through different approaches that you can take to discover AWS and start working with its foundational services. Also learn about best practices, tools, and cost-saving measures to optimize your learning experience in the cloud.
As William Gibson said, “The future is already here—it’s just not very evenly distributed.” New technology can help you provide better products and services to your customers. As a builder, you want to keep up with the latest technology trends and upskill yourself. In this chalk talk, look at three emerging technologies—5G, blockchain, and quantum computing. Dive deep into each of these with technical demos, discuss how to get started, explore potential use cases, and consider the tech implications. Attend this session for a sneak peek into the future.
Developers: start your engines! AWS DeepRacer is a quirky, fun, and the fastest way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique that takes a very different approach to training models than other ML methods. Its super power is that RL models learn very complex behaviors without requiring any labeled training data, and they can make short-term decisions while optimizing for a longer term goal. Join this track to get rolling with ML on AWS DeepRacer at re:Invent 2021!
Developers, start your engines! This workshop provides developers of all skill levels an opportunity to get hands-on with AWS DeepRacer to learn the basics of reinforcement learning (an advanced machine learning technique). During this workshop, you have the opportunity to dive into the AWS DeepRacer console to build a reinforcement learning model for an autonomous driving application. Take your model from the classroom to the track to compete in the AWS DeepRacer League championships to race for prizes and glory live at re:Invent 2021!
Work to make your way from the middle of the pack to the top of the AWS DeepRacer podium! Building on the foundational knowledge from making your first model, this workshop extends your machine learning prowess. Go hands-on to explore how you can use human analysis of reinforcement learning through log tools to leverage trend identification and optimization to increase model performance.
Complete the final lap on your AWS DeepRacer machine learning journey. This workshop demystifies the underlying architecture of AWS DeepRacer and shows you how to use Amazon SageMaker, AWS RoboMaker, and Amazon Kinesis Video Streams to replicate the AWS DeepRacer environment. Go hands-on with SageMaker notebooks to learn how others have applied the skills acquired through AWS DeepRacer to create real-world solutions and how you can apply your reinforcement learning models to relevant use cases. By developing expertise in the underlying architecture of AWS DeepRacer with SageMaker, you can unlock your model’s full potential to become a contender for the 2021 AWS DeepRacer Championship Cup!
Building on the AWS Cloud isn’t just about discrete services; it’s about combining multiple services together into architectures that are secure, scalable, reliable, and cost efficient. In the Architecture track, learn about the latest topics related to creating distributed, multiservice designs. Explore sessions that cover best practices such as the AWS Well-Architected Framework, key architecture patterns, and adapting architectures to address new demands and trends.
Amazon.com launched in 1995 with a modest architecture and a grand vision to be Earth’s most customer-centric company. Learn how Amazon.com got big fast, and see their evolution from a monolithic architecture to a massively scalable system based on service-oriented architecture and microservices. See how Amazon.com adopted DevOps before it even had that name and how DevOps was crucial to enabling the reliable, scalable architectures that Amazon.com needed. Dive deep into examples of Amazon services and how they use the advantages of AWS and the cloud to achieve the customer obsession at scale that Amazon is known for today.
The hexagonal architecture, or ports and adapters architecture, is an architectural pattern used for creating loosely coupled application components that can be easily connected to their software environment. This makes components exchangeable at any level and facilitates test automation. In this breakout session, learn how AWS Lambda provides the virtually perfect environment to work with hexagonal architecture, allowing the flexibility to change the computational layer when porting across cloud services.
Amazon EKS provides SaaS developers with a rich collection of constructs that can be used to compose a SaaS architecture. Navigating the mix of multi-tenant Amazon EKS patterns and strategies can be challenging. In this session, dig into a complete, end-to-end Amazon EKS SaaS reference solution, looking at how it addresses fundamental multi-tenant considerations. Examine its approach to core SaaS topics, including tenant isolation, identity, onboarding, tenant administration, and data partitioning. The goal is to explore an Amazon EKS SaaS architecture through the lens of working code and highlight the key architectural strategies that were used in this reference environment.
SaaS architecture varies across domains, stacks, and customer requirements. However, there are well-defined patterns that must be addressed by SaaS solutions. Identity, onboarding, tenant isolation, data partitioning, tiering—these are among the patterns that, while implemented differently on AWS stacks and services, are core to most SaaS solutions. In this session, take a detailed dive into the landscape of these SaaS patterns. For each one, we’ll move from concept to implementation, looking at the permutations of architecture and code that are used to bring these patterns to life with different compute, storage, identity, networking, and management constructs.
In this workshop, learn hands-on how to use chaos engineering to set up failure injection testing to validate the resiliency of your service. Using the AWS Well-Architected Framework, learn about the design principles and AWS resources to ensure a resilient architecture. Then, use a three-tier architecture to implement automation to simulate various failures, from the loss of a single Amazon EC2 server to the loss of an entire Availability Zone. This workshop focuses on the impacts of these failures and the resources AWS provides to maintain high service availability and a short time to recovery.
The serverless SaaS model introduces a range of new considerations that influence how you design and architect your multi-tenant environment. Some topics might require you to adopt new strategies in your serverless SaaS environment, including how you build and deploy multi-tenant serverless microservices, isolate serverless tenant workloads, support tenant tiering, and throttle tenant APIs. In this workshop, walk through the end-to-end process of creating a complete multi-tenant serverless application, digging into the multi-tenant code, design, and architecture that are used to build a best-practice serverless application on AWS.
In this workshop, build a photo-sharing app using AWS Amplify, and build serverless services using well-architected best practices. Include capabilities like user sign up/sign in and management, storage, and real-time and offline data to support photo posting, likes, and in-app notifications. Gain hands-on experience designing and building a modern mobile app using AWS Amplify, AWS AppSync (GraphQL API), AWS Lambda, Amazon DynamoDB, Amazon S3, and Amazon Cognito.
Cell-based architectures and shuffle sharding are techniques that reduce the blast radius of failures by partitioning resources and distributing requests in a combinatorial way. These are the same techniques that make it possible for AWS to deliver cost-effective multi-tenant services while giving each customer a single-tenant experience. In this workshop, implement a cellular architecture and see its benefits in practice. Also explore how this implementation can be improved further by implementing shuffle sharding. These are techniques you can replicate in your own workloads to improve resiliency.
Disaster recovery is the process of preparing for and recovering from a disaster. An event that prevents a workload or system from fulfilling its business objectives in its primary deployed location is considered a disaster. In this workshop, prepare for a disaster using the best practices for workloads deployed on AWS. Build solutions covering two of the four approaches from the whitepaper “Disaster Recovery of Workloads on AWS: Recovery in the Cloud” during this workshop.
In this chalk talk, learn the basic capabilities needed to establish a foundational cloud environment (one that meets business requirements and also allows for future expansion). Dive deep into a mental model for establishing a cloud foundation and a guided path approach to designing, implementing, and ultimately operating the environment. See a demonstration of what it takes to get started on AWS and an “open cloud for business” approach based on past experience. Come learn how to approach building a solid foundation to deploy, operate, and govern production workloads efficiently and securely on AWS.
Serverless and SaaS represent a natural match. The serverless model enables SaaS providers to create solutions that align with the shifting profile and needs of multi-tenant environments. This chalk talk dives into a serverless SaaS reference solution, exploring the internals of the specific strategies that are applied when building SaaS with AWS Lambda. Learn how serverless influences multi-tenant topics like tenant isolation, data partitioning, tier-based throttling, supporting silo and pool-based deployments, and authentication. The goal is to explore the moving parts of a ready-made environment that demonstrates these multi-tenant concepts though the lens of a working end-to-end solution.
In this chalk talk, learn how automation can benefit your operations activities, the risks of doing it badly, and how to do it safely. Through real-world examples that highlight what can go wrong, learn the automation safety best practices that can help you reduce your risk. We discuss default automation behaviors, tagging, permissions, scope of impact, circuit breakers, back-off, runbooks, playbooks, and more. We also discuss the AWS tools to help you implement automation safety, and we take your questions about automation and automation safety on AWS.
Micro-frontends are a new architectural trend in the development of front-end applications that leverage the principles of microservices. In this chalk talk, learn how to modernize your existing front-end applications to micro-frontends, applying the Strangler pattern and canary releases on the edge.