Do you wonder what AWS thinks about mobile development? In this session, learn the very latest about the many AWS services that web and mobile developers can leverage to make cloud-enabled development possible, and hear what might be in store for the future.
Streaming data ingestion and near real-time analysis gives you immediate insights into your data. By using AWS Lambda with Amazon Kinesis, you can obtain these insights without the need to manage servers. But are you doing this in the most optimal way? In this interactive session, we review the best practices for using Lambda with Kinesis, and how to avoid common pitfalls.
Deep Learning Applications Using PyTorch, Featuring Facebook (AIM402-R) - AWS...Amazon Web Services
With support for PyTorch 1.0 on Amazon SageMaker, you now have a flexible deep learning framework combined with a fully managed machine learning platform to transition seamlessly from research prototyping to production deployment. In this session, learn how to develop with PyTorch 1.0 within Amazon SageMaker using a novel generative adversarial network (GAN) tutorial. Then, hear from Facebook on how you can use the FAIRSeq modeling toolkit, which serves 6B translations daily for Facebook users, to train your own custom PyTorch models on Amazon SageMaker. Facebook also discusses the evolution of PyTorch 1.0 and features introduced to accelerate research and deployment.
Serverless State Management & Orchestration for Modern Apps (API302) - AWS re...Amazon Web Services
The document discusses serverless state management and orchestration using AWS Step Functions. It provides examples of how companies like Xylem, Coinbase, Granular and Novartis Institutes for Biomedical Research have used Step Functions to build modern applications. Specifically, it highlights how Step Functions enabled these companies to scale workflows, integrate legacy and modern systems, improve reliability and reduce costs. The document also provides technical details on how Step Functions can be used to orchestrate tasks and process large datasets across multiple AWS services.
This document discusses orchestrating AWS Lambda functions with AWS Step Functions. It begins with an overview of serverless applications and the need for coordination between functions. It then introduces AWS Step Functions as a way to visually define, manage, and coordinate functions through state machines. Key features of Step Functions include different state types, input/output processing, error handling, integration with other AWS services, and serverless pricing. Overall, Step Functions allows for building, scaling, and evolving serverless applications in a reliable way.
Machine Learning for the Enterprise, ft. Sony Interactive Entertainment (ENT2...Amazon Web Services
Machine learning is powering innovation across industries, including media & entertainment, healthcare, finance, and many more. In this session, representatives from AWS and Sony Interactive Entertainment discuss building real-world scalable enterprise solutions with machine learning using Amazon SageMaker. Join us as we talk about managing large-scale systems and processes to get more value from data at any scale, with examples from Sony and AWS.
Enhance customer experience with Conversational InterfacesAmazon Web Services
AWS API-driven services bring conversational interfaces into any application. Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build speech-enabled products. Amazon Lex provides the advanced, deep learning functionality of automatic speech recognition (ASR) for converting speech to text, while Alexa for Business makes it easy for you to use Alexa in your organization. It can simplify conference rooms, allowing attendees to start meetings and control the equipment in the room simply by using their voice. Alexa can also assist within the workplace, for example, providing directions to a conference room, notifying IT about a broken printer, or placing an order for office supplies.
Build a Visual Search Engine Using Amazon SageMaker and AWS Fargate (AIM341) ...Amazon Web Services
Visual search engines have a growing importance at companies like Pinterest as well as at e-commerce companies like Amazon.com and Gilt. In this chalk talk, we show you how to build a visual search engine using Amazon SageMaker and AWS Fargate.
Streaming data ingestion and near real-time analysis gives you immediate insights into your data. By using AWS Lambda with Amazon Kinesis, you can obtain these insights without the need to manage servers. But are you doing this in the most optimal way? In this interactive session, we review the best practices for using Lambda with Kinesis, and how to avoid common pitfalls.
Deep Learning Applications Using PyTorch, Featuring Facebook (AIM402-R) - AWS...Amazon Web Services
With support for PyTorch 1.0 on Amazon SageMaker, you now have a flexible deep learning framework combined with a fully managed machine learning platform to transition seamlessly from research prototyping to production deployment. In this session, learn how to develop with PyTorch 1.0 within Amazon SageMaker using a novel generative adversarial network (GAN) tutorial. Then, hear from Facebook on how you can use the FAIRSeq modeling toolkit, which serves 6B translations daily for Facebook users, to train your own custom PyTorch models on Amazon SageMaker. Facebook also discusses the evolution of PyTorch 1.0 and features introduced to accelerate research and deployment.
Serverless State Management & Orchestration for Modern Apps (API302) - AWS re...Amazon Web Services
The document discusses serverless state management and orchestration using AWS Step Functions. It provides examples of how companies like Xylem, Coinbase, Granular and Novartis Institutes for Biomedical Research have used Step Functions to build modern applications. Specifically, it highlights how Step Functions enabled these companies to scale workflows, integrate legacy and modern systems, improve reliability and reduce costs. The document also provides technical details on how Step Functions can be used to orchestrate tasks and process large datasets across multiple AWS services.
This document discusses orchestrating AWS Lambda functions with AWS Step Functions. It begins with an overview of serverless applications and the need for coordination between functions. It then introduces AWS Step Functions as a way to visually define, manage, and coordinate functions through state machines. Key features of Step Functions include different state types, input/output processing, error handling, integration with other AWS services, and serverless pricing. Overall, Step Functions allows for building, scaling, and evolving serverless applications in a reliable way.
Machine Learning for the Enterprise, ft. Sony Interactive Entertainment (ENT2...Amazon Web Services
Machine learning is powering innovation across industries, including media & entertainment, healthcare, finance, and many more. In this session, representatives from AWS and Sony Interactive Entertainment discuss building real-world scalable enterprise solutions with machine learning using Amazon SageMaker. Join us as we talk about managing large-scale systems and processes to get more value from data at any scale, with examples from Sony and AWS.
Enhance customer experience with Conversational InterfacesAmazon Web Services
AWS API-driven services bring conversational interfaces into any application. Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build speech-enabled products. Amazon Lex provides the advanced, deep learning functionality of automatic speech recognition (ASR) for converting speech to text, while Alexa for Business makes it easy for you to use Alexa in your organization. It can simplify conference rooms, allowing attendees to start meetings and control the equipment in the room simply by using their voice. Alexa can also assist within the workplace, for example, providing directions to a conference room, notifying IT about a broken printer, or placing an order for office supplies.
Build a Visual Search Engine Using Amazon SageMaker and AWS Fargate (AIM341) ...Amazon Web Services
Visual search engines have a growing importance at companies like Pinterest as well as at e-commerce companies like Amazon.com and Gilt. In this chalk talk, we show you how to build a visual search engine using Amazon SageMaker and AWS Fargate.
Real-Time Personalized Customer Experiences at Bonobos (RET203) - AWS re:Inve...Amazon Web Services
In this session, learn how Bonobos, an online retailer for men's clothing and accessories, powers their personalized customer experiences on top of AWS. We start by exploring the foundational elements required to build an effective retail data platform as well as the building blocks provided by AWS to deliver these experiences. Learn how Bonobos leverages Segment in their architecture, and hear from Bonobos and Segment on the objectives, challenges, and outcomes realized by Bonobos through their journey in constructing and deploying their personalization platform.
Accelerate ML Training on Amazon SageMaker Using GPU-Based EC2 P3 Instances (...Amazon Web Services
In this workshop, you gain hands-on experience in training deep learning neural networks with Amazon SageMaker using GPU-based EC2 P3 instances. Amazon EC2 P3 instances, powered by NVIDIA Tesla V100 GPUs, offer the highest-performing GPU-based instances in the cloud for efficient model training. We discuss and work through building convolution neural networks for solving common computer vision problems. All attendees must bring their own laptop (Windows, macOS, and Linux all supported). Tablets are not appropriate. We also recommend having the current version of Chrome or Firefox installed.
What's New in AR & VR: State of the World Report (ARV203) - AWS re:Invent 2018Amazon Web Services
In this session, Amazon Sumerian leaders provide an overview of the evolution of the augmented reality/virtual reality (AR/VR) industry. They discuss what has changed since Sumerian was announced at re:invent 2017. They also talk about key market trends, and they highlight areas with the highest adoption and potential. This is an immersive session, with examples and demonstrations of immersive experiences created using Amazon Sumerian.
M&E Leadership Session: The State of the Industry, What's New from AWS for M&...Amazon Web Services
In this wide-ranging keynote session, first hear from AWS VP Carla Stratfold on the major forces affecting the industry, then learn from AWS Global M&E Tech Lead Usman Shakeel about the latest and most exciting releases coming out of re:Invent relevant to the M&E industry. And finally, hear how technical leaders at the forefront of the industry are responding to accelerating changes in the media landscape.
0x32 Shades of #7f7f7f: The Tension Between Absolutes and Ambiguity in Securi...Amazon Web Services
The document discusses the tension between absolute security and allowing for ambiguity. It notes that security organizations aim to maximize customer value while minimizing costs over time. It also discusses concepts like entitlement, goal setting, and continually refining security approaches and questions to achieve the goal of zero vulnerabilities.
Serverless Architectural Patterns and Best Practices (ARC305-R2) - AWS re:Inv...Amazon Web Services
The document discusses serverless architectures and best practices. It covers topics like serverless foundations, web applications, stream processing, data lakes, and machine learning. It provides an overview of AWS serverless offerings and architectural patterns for building serverless applications and processing streaming data with services like AWS Lambda, Amazon API Gateway, Amazon Kinesis, Amazon S3, and AWS Step Functions.
The document discusses strategies for migrating databases to the cloud. It begins by outlining objectives and factors that contribute to successful database migration projects. It then covers various migration options like rehosting, replatforming, or rearchitecting databases. The document also discusses tools like the Schema Conversion Tool (SCT) and Database Migration Service (DMS) that can assist with assessment, conversion between database engines, and migrating data between on-premises and cloud databases. The overall process involves planning, assessment, executing the migration in phases, and testing.
Analyze Amazon CloudFront and Lambda@Edge Logs to Improve Customer Experience...Amazon Web Services
Nowadays, web servers are often fronted by a global content delivery network, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. In this hands-on-workshop, learn to improve website availability, optimize content based on devices, browser and user demographics, identify and analyze CDN usage patterns, and perform end-to-end debugging by correlating logs from various points in a request-response pipeline. Build an end-to-end serverless solution to analyze Amazon CloudFront logs using AWS Glue and Amazon Athena, generate visualization to derive deeper insights using Amazon QuickSight, and correlate with other logs such as CloudWatch logs to provide finer debugging experiences. Discuss how you can extend the pipeline you just built to generate deeper insights needed to improve the overall experience for your users.
Market Prediction Using ML: Experiment with Amazon SageMaker and the Deutsche...Amazon Web Services
In this workshop, learn how to use machine learning to analyze the Deutsche Börse Public Dataset, which consists of trade data aggregated to one-minute intervals from the Tradex and Eurex engines, comprising a variety of equities, funds, and derivative securities. The public dataset provides initial price, lowest price, highest price, final price, and volume for every minute of the trading day, and for every tradeable security. Learn how to apply a variety of ML models to the data to find patterns and methods to predict price movements or identify trends in the market. Also learn how to interact with data staged for analysis in Amazon S3, use AWS Glue to transform data into analysis-ready formats, and use Amazon SageMaker and Amazon EC2 to experiment with a variety of ML models to derive insights from the data.
Globalizing Player Accounts at Riot Games While Maintaining Availability (ARC...Amazon Web Services
The Player Accounts team at Riot Games needed to consolidate the player account infrastructure and provide a single, global accounts system for the League of Legends player base. To do this, they migrated hundreds of millions of player accounts into a consolidated, globally replicated composite database cluster in AWS. This provided higher fault tolerance and lower latency access to account data. In this talk, we discuss this effort to migrate eight disparate database clusters into AWS as a single composite database cluster replicated in four different AWS regions, provisioned with terraform, and managed and operated by Ansible.
AWS Startup Day Kyiv - Opening Keynote: Taking Your Startup From Zero to Hero.Amazon Web Services
The document discusses how startups have evolved over time due to new cloud capabilities provided by AWS. It notes that the number of startups launched has increased significantly from 2008 to 2017. It provides examples of how startups are using AWS services like Kinesis, Lambda, API Gateway, and ECS to build applications and handle large amounts of data and traffic. The document emphasizes that startups can now build, deploy, and scale applications faster and more cost effectively in the cloud compared to building everything from scratch themselves.
Deploying Your ONNX Deep Learning with Apache MXNet Model Server (AIM413) - A...Amazon Web Services
This document discusses deploying deep learning models in ONNX format with the Apache MXNet Model Server. It describes how ONNX serves as a common format that can be exported from many frameworks and imported into MXNet. It also outlines how the MXNet Model Server provides an API and containerization for serving models, and how it can be deployed in serverless environments on AWS Fargate for scalable inference.
Build a "Who's Who" App for Your Media Content (AIM409) - AWS re:Invent 2018Amazon Web Services
Video has become an increasingly successful medium for advertising, marketing, and engaging customers. However, many companies underutilize their substantial video assets because they are poorly indexed and cataloged. In this workshop, learn how to use machine learning services to gain more value from video by building a customer celebrity detection feature that can recognize mainstream celebrities and individuals from your own uploaded media files.
Deep Dive on Amazon S3 Storage Classes: Creating Cost Efficiencies across You...Amazon Web Services
"Amazon S3 supports a range of storage classes that can help you cost-effectively store data without impacting performance or availability. Each of our storage classes offer different data-access levels, retrieval times, and costs to support various use cases. In this session, Amazon S3 experts dive deep into the different Amazon S3 storage classes, their respective attributes, and when you should use them.
"
ALB User Authentication: Identity Management at Scale with Netflix (NET204) -...Amazon Web Services
In the zero-trust security environment at Netflix, identity management has historically been a challenge due to the reliance on its VPN for all application access. About one year ago, Netflix began exploring various identity solutions to alleviate the operational burden of maintaining its VPN. Additionally, it was looking for ways to provide a superior user experience. Join this chalk talk to learn how Netflix solved identity management at scale.
AWS Compute Leadership Session: What’s New in Amazon EC2, Containers, and Ser...Amazon Web Services
Matt Garman, VP of AWS Compute Services, introduces the latest innovations in the compute space. In this keynote address, we announce new compute capabilities, and we share insights into what makes the AWS compute business unique. We also announce new capabilities for Amazon EC2 instances, EC2 networking, EC2 Spot Instances, Amazon Lightsail, Containers, and Serverless. Matt is joined by executives from our customers and partners who share valuable success stories of how Amazon EC2 has helped their journey to digital transformation.
Supercell – Scaling Mobile Games (GAM301) - AWS re:Invent 2018Amazon Web Services
This document discusses Supercell's approach to scaling their mobile games and analytics infrastructure. Supercell has 5 games with hundreds of millions of active users. They use a microservices architecture and sharding to scale their games across thousands of EC2 instances. Their analytics pipeline collects terabytes of data daily, storing it in S3 and processing it with EMR. They have transitioned to separating compute and storage to better scale their analytics capabilities.
Provide Faster, Scalable Solutions to Support Research Use Cases with AWS (WP...Amazon Web Services
The Urban Institute chose a cloud-first strategy with AWS to increase the capacity and performance of big data and high-performance computing workloads for 300+ researchers. In this chalk talk, we demonstrate how our team piloted the execution of one of our signature microsimulation models in parallel, designing a new architecture in the cloud that required minimal changes to the original model’s source code. We also show how our team worked directly with AWS to develop open source code that launches powerful Amazon Elastic MapReduce (Amazon EMR) Spark clusters with minimal setup time, and combined it with our Elastic Cloud Computing Environment to allow for a simple Spark user experience.
Leadership Session: Digital Advertising - Customer Learning & the Road Ahead ...Amazon Web Services
In this session, learn how experienced leaders in digital advertising respond to the rapid evolution and sophistication of the advertising market driven by innovation and groundbreaking technology. Our customers share real-world applications they've leveraged in the cloud and how they see the media landscape changing as adoption of AI in the space becomes more widespread. Learn about existing and upcoming advancements and how they affect digital transformation in the years to come. Come away with ideas on how you can apply these learnings to your technology stack.
Three Lessons from “Escape the Room” That Apply to Making Money with Your Ale...Amazon Web Services
Games push the boundaries of tech, enabling us to learn from them for a wide range of use cases. Join Gal Shenar, founder of Stoked Skills, in this talk about designing and implementing Alexa in-skill purchasing for “Escape the Room” and “Escape the Airplane” game skills. Learn about optimizing the user experience by soft launching with live updates and implementing a premium content in-skill purchase gate while monitoring user experience flow to increase conversion rates by using AWS Lambda.
This document discusses using AWS Amplify to build applications in a lean and agile way. It provides an overview of AWS Amplify, including that it is a CLI and toolchain for client development that allows creating sophisticated serverless backends fast using services like Amazon Cognito, AWS AppSync, Amazon S3, and AWS Lambda. It then demonstrates building a note taking app using these AWS services with AWS Amplify.
Taking your Progressive Web App to the Next Level - AWS Summit Sydney 2018Amazon Web Services
Taking your Progressive Web App to the Next Level with GraphQL and AWS AppSync
Progressive Web Apps (PWAs) are the future of web development and combine the best of web and native apps. In this session you will learn how to build PWAs on AWS then take your app to the next level with AWS AppSync. We will cover how AWS AppSync allows you to query your data using GraphQL and how it handles mutations, subscriptions, offline access, realtime communications, conflict resolution, and efficient data fetching.
Ed Lima, Associate Solutions Architect, Amazon Web Services
Real-Time Personalized Customer Experiences at Bonobos (RET203) - AWS re:Inve...Amazon Web Services
In this session, learn how Bonobos, an online retailer for men's clothing and accessories, powers their personalized customer experiences on top of AWS. We start by exploring the foundational elements required to build an effective retail data platform as well as the building blocks provided by AWS to deliver these experiences. Learn how Bonobos leverages Segment in their architecture, and hear from Bonobos and Segment on the objectives, challenges, and outcomes realized by Bonobos through their journey in constructing and deploying their personalization platform.
Accelerate ML Training on Amazon SageMaker Using GPU-Based EC2 P3 Instances (...Amazon Web Services
In this workshop, you gain hands-on experience in training deep learning neural networks with Amazon SageMaker using GPU-based EC2 P3 instances. Amazon EC2 P3 instances, powered by NVIDIA Tesla V100 GPUs, offer the highest-performing GPU-based instances in the cloud for efficient model training. We discuss and work through building convolution neural networks for solving common computer vision problems. All attendees must bring their own laptop (Windows, macOS, and Linux all supported). Tablets are not appropriate. We also recommend having the current version of Chrome or Firefox installed.
What's New in AR & VR: State of the World Report (ARV203) - AWS re:Invent 2018Amazon Web Services
In this session, Amazon Sumerian leaders provide an overview of the evolution of the augmented reality/virtual reality (AR/VR) industry. They discuss what has changed since Sumerian was announced at re:invent 2017. They also talk about key market trends, and they highlight areas with the highest adoption and potential. This is an immersive session, with examples and demonstrations of immersive experiences created using Amazon Sumerian.
M&E Leadership Session: The State of the Industry, What's New from AWS for M&...Amazon Web Services
In this wide-ranging keynote session, first hear from AWS VP Carla Stratfold on the major forces affecting the industry, then learn from AWS Global M&E Tech Lead Usman Shakeel about the latest and most exciting releases coming out of re:Invent relevant to the M&E industry. And finally, hear how technical leaders at the forefront of the industry are responding to accelerating changes in the media landscape.
0x32 Shades of #7f7f7f: The Tension Between Absolutes and Ambiguity in Securi...Amazon Web Services
The document discusses the tension between absolute security and allowing for ambiguity. It notes that security organizations aim to maximize customer value while minimizing costs over time. It also discusses concepts like entitlement, goal setting, and continually refining security approaches and questions to achieve the goal of zero vulnerabilities.
Serverless Architectural Patterns and Best Practices (ARC305-R2) - AWS re:Inv...Amazon Web Services
The document discusses serverless architectures and best practices. It covers topics like serverless foundations, web applications, stream processing, data lakes, and machine learning. It provides an overview of AWS serverless offerings and architectural patterns for building serverless applications and processing streaming data with services like AWS Lambda, Amazon API Gateway, Amazon Kinesis, Amazon S3, and AWS Step Functions.
The document discusses strategies for migrating databases to the cloud. It begins by outlining objectives and factors that contribute to successful database migration projects. It then covers various migration options like rehosting, replatforming, or rearchitecting databases. The document also discusses tools like the Schema Conversion Tool (SCT) and Database Migration Service (DMS) that can assist with assessment, conversion between database engines, and migrating data between on-premises and cloud databases. The overall process involves planning, assessment, executing the migration in phases, and testing.
Analyze Amazon CloudFront and Lambda@Edge Logs to Improve Customer Experience...Amazon Web Services
Nowadays, web servers are often fronted by a global content delivery network, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. In this hands-on-workshop, learn to improve website availability, optimize content based on devices, browser and user demographics, identify and analyze CDN usage patterns, and perform end-to-end debugging by correlating logs from various points in a request-response pipeline. Build an end-to-end serverless solution to analyze Amazon CloudFront logs using AWS Glue and Amazon Athena, generate visualization to derive deeper insights using Amazon QuickSight, and correlate with other logs such as CloudWatch logs to provide finer debugging experiences. Discuss how you can extend the pipeline you just built to generate deeper insights needed to improve the overall experience for your users.
Market Prediction Using ML: Experiment with Amazon SageMaker and the Deutsche...Amazon Web Services
In this workshop, learn how to use machine learning to analyze the Deutsche Börse Public Dataset, which consists of trade data aggregated to one-minute intervals from the Tradex and Eurex engines, comprising a variety of equities, funds, and derivative securities. The public dataset provides initial price, lowest price, highest price, final price, and volume for every minute of the trading day, and for every tradeable security. Learn how to apply a variety of ML models to the data to find patterns and methods to predict price movements or identify trends in the market. Also learn how to interact with data staged for analysis in Amazon S3, use AWS Glue to transform data into analysis-ready formats, and use Amazon SageMaker and Amazon EC2 to experiment with a variety of ML models to derive insights from the data.
Globalizing Player Accounts at Riot Games While Maintaining Availability (ARC...Amazon Web Services
The Player Accounts team at Riot Games needed to consolidate the player account infrastructure and provide a single, global accounts system for the League of Legends player base. To do this, they migrated hundreds of millions of player accounts into a consolidated, globally replicated composite database cluster in AWS. This provided higher fault tolerance and lower latency access to account data. In this talk, we discuss this effort to migrate eight disparate database clusters into AWS as a single composite database cluster replicated in four different AWS regions, provisioned with terraform, and managed and operated by Ansible.
AWS Startup Day Kyiv - Opening Keynote: Taking Your Startup From Zero to Hero.Amazon Web Services
The document discusses how startups have evolved over time due to new cloud capabilities provided by AWS. It notes that the number of startups launched has increased significantly from 2008 to 2017. It provides examples of how startups are using AWS services like Kinesis, Lambda, API Gateway, and ECS to build applications and handle large amounts of data and traffic. The document emphasizes that startups can now build, deploy, and scale applications faster and more cost effectively in the cloud compared to building everything from scratch themselves.
Deploying Your ONNX Deep Learning with Apache MXNet Model Server (AIM413) - A...Amazon Web Services
This document discusses deploying deep learning models in ONNX format with the Apache MXNet Model Server. It describes how ONNX serves as a common format that can be exported from many frameworks and imported into MXNet. It also outlines how the MXNet Model Server provides an API and containerization for serving models, and how it can be deployed in serverless environments on AWS Fargate for scalable inference.
Build a "Who's Who" App for Your Media Content (AIM409) - AWS re:Invent 2018Amazon Web Services
Video has become an increasingly successful medium for advertising, marketing, and engaging customers. However, many companies underutilize their substantial video assets because they are poorly indexed and cataloged. In this workshop, learn how to use machine learning services to gain more value from video by building a customer celebrity detection feature that can recognize mainstream celebrities and individuals from your own uploaded media files.
Deep Dive on Amazon S3 Storage Classes: Creating Cost Efficiencies across You...Amazon Web Services
"Amazon S3 supports a range of storage classes that can help you cost-effectively store data without impacting performance or availability. Each of our storage classes offer different data-access levels, retrieval times, and costs to support various use cases. In this session, Amazon S3 experts dive deep into the different Amazon S3 storage classes, their respective attributes, and when you should use them.
"
ALB User Authentication: Identity Management at Scale with Netflix (NET204) -...Amazon Web Services
In the zero-trust security environment at Netflix, identity management has historically been a challenge due to the reliance on its VPN for all application access. About one year ago, Netflix began exploring various identity solutions to alleviate the operational burden of maintaining its VPN. Additionally, it was looking for ways to provide a superior user experience. Join this chalk talk to learn how Netflix solved identity management at scale.
AWS Compute Leadership Session: What’s New in Amazon EC2, Containers, and Ser...Amazon Web Services
Matt Garman, VP of AWS Compute Services, introduces the latest innovations in the compute space. In this keynote address, we announce new compute capabilities, and we share insights into what makes the AWS compute business unique. We also announce new capabilities for Amazon EC2 instances, EC2 networking, EC2 Spot Instances, Amazon Lightsail, Containers, and Serverless. Matt is joined by executives from our customers and partners who share valuable success stories of how Amazon EC2 has helped their journey to digital transformation.
Supercell – Scaling Mobile Games (GAM301) - AWS re:Invent 2018Amazon Web Services
This document discusses Supercell's approach to scaling their mobile games and analytics infrastructure. Supercell has 5 games with hundreds of millions of active users. They use a microservices architecture and sharding to scale their games across thousands of EC2 instances. Their analytics pipeline collects terabytes of data daily, storing it in S3 and processing it with EMR. They have transitioned to separating compute and storage to better scale their analytics capabilities.
Provide Faster, Scalable Solutions to Support Research Use Cases with AWS (WP...Amazon Web Services
The Urban Institute chose a cloud-first strategy with AWS to increase the capacity and performance of big data and high-performance computing workloads for 300+ researchers. In this chalk talk, we demonstrate how our team piloted the execution of one of our signature microsimulation models in parallel, designing a new architecture in the cloud that required minimal changes to the original model’s source code. We also show how our team worked directly with AWS to develop open source code that launches powerful Amazon Elastic MapReduce (Amazon EMR) Spark clusters with minimal setup time, and combined it with our Elastic Cloud Computing Environment to allow for a simple Spark user experience.
Leadership Session: Digital Advertising - Customer Learning & the Road Ahead ...Amazon Web Services
In this session, learn how experienced leaders in digital advertising respond to the rapid evolution and sophistication of the advertising market driven by innovation and groundbreaking technology. Our customers share real-world applications they've leveraged in the cloud and how they see the media landscape changing as adoption of AI in the space becomes more widespread. Learn about existing and upcoming advancements and how they affect digital transformation in the years to come. Come away with ideas on how you can apply these learnings to your technology stack.
Three Lessons from “Escape the Room” That Apply to Making Money with Your Ale...Amazon Web Services
Games push the boundaries of tech, enabling us to learn from them for a wide range of use cases. Join Gal Shenar, founder of Stoked Skills, in this talk about designing and implementing Alexa in-skill purchasing for “Escape the Room” and “Escape the Airplane” game skills. Learn about optimizing the user experience by soft launching with live updates and implementing a premium content in-skill purchase gate while monitoring user experience flow to increase conversion rates by using AWS Lambda.
This document discusses using AWS Amplify to build applications in a lean and agile way. It provides an overview of AWS Amplify, including that it is a CLI and toolchain for client development that allows creating sophisticated serverless backends fast using services like Amazon Cognito, AWS AppSync, Amazon S3, and AWS Lambda. It then demonstrates building a note taking app using these AWS services with AWS Amplify.
Taking your Progressive Web App to the Next Level - AWS Summit Sydney 2018Amazon Web Services
Taking your Progressive Web App to the Next Level with GraphQL and AWS AppSync
Progressive Web Apps (PWAs) are the future of web development and combine the best of web and native apps. In this session you will learn how to build PWAs on AWS then take your app to the next level with AWS AppSync. We will cover how AWS AppSync allows you to query your data using GraphQL and how it handles mutations, subscriptions, offline access, realtime communications, conflict resolution, and efficient data fetching.
Ed Lima, Associate Solutions Architect, Amazon Web Services
Taking your Progressive Web App to the Next Level with GraphQL and AWS AppSyncAmazon Web Services
Progressive Web Apps (PWAs) are the future of web development and combine the best of web and native apps. In this session you will learn how to build PWAs on AWS then take your app to the next level with AWS AppSync. We will cover how AWS AppSync allows you to query your data using GraphQL and how it handles mutations, subscriptions, offline access, realtime communications, conflict resolution, and efficient data fetching.
Accelerating Mobile App Data Synchronization and Real-Time Data Development w...Amazon Web Services
Join us for an overview of AWS AppSync, a fully managed GraphQL service, and listen as Tom Bray, Chief Architect at Ticketmaster, shares his experience of deploying GraphQL. Tom will highlight the challenges of switching from REST to GraphQL, the benefits Ticketmaster has realized, and the new capabilities that GraphQL has unlocked.
Build a Photo-Sharing App with AI-Powered Face and Object Detection (MOB306) ...Amazon Web Services
In this workshop, we build a data-driven web app that lets users upload to shared, secure photo galleries. We use AWS AppSync to get up and running quickly with a GraphQL API that backs our data in Amazon DynamoDB. In addition, we demonstrate how to use AWS Amplify library to authenticate users, communicate with our API, and manage photo uploads. Finally, we add in AI-powered face and object tagging using Amazon Rekognition, allowing users to discover photos without any manual data entry.
This document summarizes a presentation on building microservices with AWS. It discusses what microservices are, benefits of the microservices architecture like agility and scalability. It then outlines several AWS services that can be used to build, deploy, and manage microservices including Amazon EC2, ECS, Lambda, API Gateway, CodeCommit, CodeDeploy, CodeBuild, CodePipeline, Secrets Manager, DynamoDB, CloudWatch, X-Ray, Step Functions, and service discovery. The presentation provides examples of how these services can support microservices development.
Building mobile apps that can automatically scale globally to millions of use...AWS Germany
AWS provides purpose-built tools with purpose-built database solutions for builders. In this session, we looked at the the scalable key-value storage of DynamoDB, the submilli second speed of ElastiCache for Redis, the relationship graph transversals of Neptune, and the search power of Elasticsearch and build mobile applications that use them. https://aws.amazon.com/products/databases/
Serverless computing allows developers to build and run applications and services without thinking about servers. In this session, we are going to discuss how to use AWS developer tools and services including AWS CodeStar, AWS SAM (Serverless Application Model), AWS Cloud9, Amazon Cognito and AWS AppSync to help developers developing secure and scalable serverless applications. It will cover key concepts, best practices, and developer's workflow.
"Integrate your front end apps with serverless backend in the cloud", Sebasti...Provectus
AWS Dev Day Kyiv 2019
Track: Modern Application Development
Session: "Integrate your front end apps with serverless backend in the cloud"
Speaker: Sebastien Stormacq, AWS Technical Evangelist
Level: 200
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://www.youtube.com/watch?v=6z43H11qoU8&t=1s
Simplify your Web & Mobile applicationswith cloud-based serverless backendsSébastien ☁ Stormacq
Designing, deploying and maintaining backend services for your mobile application is a challenge. Think about authentication, authorization, data access, notifications, offline devices and the usual non functional requirements of availability, scalability and … shrinking budgets ! During this session, I will show you how to deploy cloud based services, without requiring to be a cloud expert. I will show you how to easily integrate an authentication wall, with minimal coding, how to deploy an API layer and how to publish your web app without using a single server. By attending this session you will be able to accelerate the development of your web & mobile applications by using simplified backends in the cloud. Level : 200 - coding experience required.
Monetize Your Mobile App with Amazon Mobile Ads (MOB311) - AWS reInvent 2018.pdfAmazon Web Services
With the freemium model now the new norm for mobile apps, developers often supplement their revenue with ad-based monetization. Businesses utilize and depend on targeted ads for better engagement and mediation services to manage multiple ad networks to maximize ad revenue. In this workshop, we cover the latest best practices for targeted ad placement for modern apps from basic, interstitial, and incentive videos. We also discuss how targeted ad mediation plays a key role in optimizing app revenue. We then dive into creating a mobile app that is integrated with Amazon Mobile Ads to showcase the revenue possibilities and vault you directly to the bank.
Build a Social News App with Android and AWS (MOB307) - AWS re:Invent 2018Amazon Web Services
This document discusses building a social news Android app using AWS services. It covers using AWS Amplify CLI to provision backend resources like Amazon Cognito for authentication, AWS AppSync for a GraphQL API, and AWS Pinpoint for analytics. Code examples demonstrate initializing the AWS Mobile SDK, querying and subscribing to data, and integrating analytics. The goal is to learn how to build a scalable, secure, and analytics-enabled mobile app backend on AWS.
If you still running servers for website backend, come and see how you can remove server operations from your tasks list and focus on developing the best code and product.
In this session, we will take a common website architecture and show how can we use AWS Lambda, AWS AppSync and other Services to build smarter and better systems.
If you still running servers for website backend, come and see how you can remove server operations from your tasks list and focus on developing the best code and product.In this session, we will take a common website architecture and show how can we use AWS Lambda, AWS AppSync and other Services to build smarter and better systems.
This document discusses building a GraphQL API with AWS AppSync. It provides an overview of GraphQL and its query language. It also describes the main operations in GraphQL including queries, mutations, and subscriptions. Finally, it outlines the steps to create an AWS AppSync API using the AWS AppSync console, AWS Mobile CLI, or CloudFormation.
by Brice Pelle, Enterprise Support Lead, AWS
Production mobile apps don’t get built on a developer workstation. In this session, you will learn what AWS offers to turn your development process into a well-maintained machine. Using continuous integration, your builds will be consistent and documented. We’ll show you how to automatically build a releasable package with AWS Code* services.
This document discusses building a first GraphQL API with AWS AppSync. It provides an overview of GraphQL and its query language. It also summarizes the main features of AWS AppSync, including how it is a managed and serverless GraphQL service that enables real-time data synchronization and offline capabilities. Finally, it outlines the three main ways to create an AWS AppSync API using the AWS AppSync console, AWS Mobile CLI, or CloudFormation.
Bridging the Gap Between Real Time/Offline and AI/ML Capabilities in Modern S...Amazon Web Services
Building real-time collaboration applications can be difficult, and adding intelligence to an app to make it stand out remains a challenge. In this session, learn how to build real-time chat serverless apps infused with AWS machine learning (ML) services. We dive into enhancing a real-time chat application with search capabilities, chatroom bots providing automated responses , and on-demand message translation using Amazon AI/ML services.
Making Hybrid Work for You: Getting into the Cloud Fast (GPSTEC308) - AWS re:...Amazon Web Services
The document discusses how application platforms and AWS can work together to help customers build and modernize hybrid applications. It describes how application platforms provide capabilities for self-service provisioning, automation, and standards-based development that integrate well with the elasticity, availability, and security of AWS. The document outlines a hybrid journey where applications can start on application platforms and gradually move capabilities to AWS for better performance, cost optimization, and scalability.
Similar to Leadership Session: Developing Mobile & Web Apps on AWS (MOB202-L) - AWS re:Invent 2018 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
18. Interactive live cooking service
• Live cooking with
professionals/TV stars
Internet TV broadcasting via
AWS Elemental MediaLive
• React interactively
Audience can react and/or comment
interactively with AWS AppSync
• All data centralized into AWS
Better for data analysis and
can utilize many AWS services
49. What do we need?
Development
User management & Authorization
Real-time APIs
Client SDKs and tooling
Deployment
Multiple environments
Hosting
CI / CD
Analytics
50. How do we get there?
User management & Authorization
Amazon Cognito User Pools
Real-time APIs
AWS AppSync
Client SDKs and tooling
Amplify Framework
Multiple environments
Amplify CLI
Hosting & CI / CD
AWS Amplify Console
Analytics
Amazon Pinpoint
51. Amplify CLI makes project setup easy
$ amplify init
$ amplify add auth
$ amplify add analytics
$ amplify add api
$ amplify push
Initialize a project and environment
Add an Amazon Cognito User Pool
Create an Amazon Pinpoint endpoint
Provision an API and data infrastructure
Deploy via AWS CloudFormation
52.
53.
54.
55.
56.
57. Rapidly build scalable, data-driven applications
Declaratively define your app’s data model using GraphQL SDL and have it
transformed into a fully descriptive AWS CloudFormation stack
Powered by GraphQL directives
@model, @auth, @connection, @versioned, and @searchable
The GraphQL Transform