AWS Open Source Blog

Category: Technical How-to

Building resilient services at Prime Video with chaos engineering

Large-scale distributed software systems are composed of several individual sub-systems—such as CDNs, load balancers, and databases—and their interactions. These interactions sometimes have unpredictable outcomes caused by unforeseen turbulent events (for example, a network failure). These events can lead to system-wide failures. Chaos engineering is the discipline of experimenting on a distributed system to build confidence […]

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workflow: how to deploy TorchServe on an Amazon EKS cluster for inference, which will allow you to quickly deploy a pre-trained machine learning model as a scalable, fault-tolerant web-service for low latency inference

Running TorchServe on Amazon Elastic Kubernetes Service

This article was contributed by Josiah Davis, Charles Frenzel, and Chen Wu. TorchServe is a model serving library that makes it easy to deploy and manage PyTorch models at scale in production environments. TorchServe removes the heavy lifting of deploying and serving PyTorch models with Kubernetes. TorchServe is built and maintained by AWS in collaboration […]

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Enterprise-ready Kubeflow: Securing and scaling AI and machine learning pipelines with AWS

Many AWS customers are building AI and machine learning pipelines on top of Amazon Elastic Kubernetes Service (Amazon EKS) using Kubeflow across many use cases, including computer vision, natural language understanding, speech translation, and financial modeling. In this post, we will describe AWS contributions to the Kubeflow project, which provide enterprise readiness for Kubeflow deployments. […]

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Deploy AWS CloudFormation stacks with GitHub Actions

At GitHub Universe 2019, we announced that we open sourced four new GitHub Actions for Amazon ECS and ECR. Fast forward to 2020 we are expanding the number of available actions by releasing AWS CloudFormation Action for GitHub Actions. This GitHub Action enables developers and cloud engineers to maintain their infrastructure as code in a […]

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How Amazon retail systems run machine learning predictions with Apache Spark using Deep Java Library

Today more and more companies are taking a personalized approach to content and marketing. For example, retailers are personalizing product recommendations and promotions for customers. An important step toward providing personalized recommendations is to identify a customer’s propensity to take action for a certain category. This propensity is based on a customer’s preferences and past […]

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article lead image: examples of the implementation drawn from a sample shopping cart microservice

Simplifying serverless best practices with Lambda Powertools

Modern applications are increasingly relying on compute platforms based on containers and serverless technologies to provide scalability, cost efficiency, and agility. Although this shift toward more distributed architectures has unlocked many benefits, it has also introduced new complexity in how the applications are operated. In times past, debugging was as straightforward as logging into the […]

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Realize Policy-as-Code with AWS Cloud Development Kit through Open Policy Agent

AWS Cloud Development Kit (AWS CDK) is an open source software framework that allows users to define and provision AWS infrastructure using familiar programming languages. Using CDK, you can version control infrastructure, and the Infrastructure-as-Code concept opens up new opportunities to manage AWS infrastructure more efficiently and reliably. But when planning to deploy new AWS […]

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Deploy machine learning models to Amazon SageMaker using the ezsmdeploy Python package and a few lines of code

Customers on AWS deploy trained machine learning (ML) and deep learning (DL) models in production using Amazon SageMaker, and using other services such as AWS Lambda, AWS Fargate, AWS Elastic Beanstalk, and Amazon Elastic Compute Cloud (Amazon EC2) to name a few. Amazon SageMaker provides SDKs and a console-only workflow to deploy trained models, and […]

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What is Deno?

Deno 1.0, a runtime for JavaScript and TypeScript, rolled out in May with appealing features for JavaScript developers, including: Secure defaults: Explicit permission must be granted for your Deno applications in order to access disk, network, and runtime environments. Native TypeScript support: No tsconfig needed—Deno acts like a native TypeScript runtime. Under the hood Deno […]

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Continuous delivery with server-side Swift on Amazon Linux 2

In January, I published an article describing how to use AWS tools to build, test, and release server-side Swift code on two platforms: Amazon Elastic Container Service (Amazon ECS) and Elastic Compute Cloud (Amazon EC2) running Ubuntu Linux. Recently Swift.org has released official support for the Amazon Linux 2 operating system. This article is a […]

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