AWS DevOps & Developer Productivity Blog

Category: Learning Levels

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Resource leak detection in Amazon CodeGuru Reviewer

The resource leak detector in CodeGuru Reviewer combines static code analysis algorithms with machine learning to surface only the high confidence leaks. It has a high developer acceptance rate and has alerted developers within Amazon to thousands of leaks before those leaks hit production.

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How FactSet automates thousands of AWS accounts at scale

This post is by FactSet’s Cloud Infrastructure team, Gaurav Jain, Nathan Goodman, Geoff Wang, Daniel Cordes, Sunu Joseph, and AWS Solution Architects Amit Borulkar and Tarik Makota. In their own words, “FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, which provides instant access to financial […]

AWS Solutions Constructs and the AWS CDK

Rapid and flexible Infrastructure as Code using the AWS CDK with AWS Solutions Constructs

AWS Solutions Constructs provide a library of common service patterns built on top of the AWS CDK. These multi-service patterns allow you to deploy multiple resources with a single object, resources that follow best practices by default – both independently and throughout their interaction.

Improving customer experience and reducing cost with CodeGuru Profiler

Amazon CodeGuru is a set of developer tools powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. Amazon CodeGuru Profiler allows you to profile your applications in a low impact, always on manner. It helps you improve your application’s performance, reduce cost and […]

Architecture diagram of a CI/CD pipeline for single-tenant SaaS solutions

Building a cross-account CI/CD pipeline for single-tenant SaaS solutions

This post describes how to automate the deployment process of a single-tenant SaaS solution to deliver software quickly, securely, and less error-prone for each existing tenant. To achieve a higher level of environment segregation across the tenants, I demonstrate all the steps to build and configure a CI/CD pipeline using AWS CodeCommit, AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. For each new version, the pipeline automatically deploys the same application version on the multiple tenant AWS accounts.

Architecture diagram

Cross-account and cross-region deployment using GitHub actions and AWS CDK

GitHub Actions is a feature on GitHub’s popular development platform that helps you automate your software development workflows in the same place you store code and collaborate on pull requests and issues. You can write individual tasks called actions, and combine them to create a custom workflow. Workflows are custom automated processes that you can […]

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Deploying a ASP.NET Core web application to Amazon ECS using an Azure DevOps pipeline

For .NET developers, leveraging Team Foundation Server (TFS) has been the cornerstone for CI/CD over the years. As more and more .NET developers start to deploy onto AWS, they have been asking questions about using the same tools to deploy to the AWS cloud. By configuring a pipeline in Azure DevOps to deploy to the […]

Enhancing automated database continuous integration with AWS CodeBuild and Amazon RDS Database Snapshot

In major integration merges, it’s sometimes necessary to verify the changes with existing online data. To inspect the changes with a cloned database can give us confidence to deploy to the production database. This post demonstrates how to use AWS CodeBuild and Amazon RDS Database Snapshot to verify your code revisions in both the application […]