AWS DevOps & Developer Productivity Blog
Tag: Best practices
Accelerate application upgrades with Amazon Q Developer agent for code transformation
In this blog, we will explore how Amazon Q Developer Agent for code transformation accelerates Java application upgrades. We will examine the benefits of this Generative AI-powered agent and outline strategies to achieve maximal acceleration, drawing from real-world success stories and best practices. Benefits of using Amazon Q Developer to upgrade your applications Amazon Q […]
Refactoring to Serverless: From Application to Automation
Refactor serverless apps by swapping application code with cloud automation: reduce costs, decouple logic from architecture, and leverage managed services’ native capabilities.
Fault-isolated, zonal deployments with AWS CodeDeploy
In this blog post you’ll learn how to use a new feature in AWS CodeDeploy to deploy your application one Availability Zone (AZ) at a time to help increase the operational resilience or your services through improved fault isolation. Introducing change to a system can be a time of risk. Even the most advanced CI/CD […]
AWS CodeBuild Managed Self-Hosted GitHub Action Runners
AWS CodeBuild now supports managed self-hosted GitHub Action runners, allowing you to build powerful CI/CD capabilities right beside your code and quickly implement a build, test and deploy pipeline. Last year AWS announced that customers can define their GitHub Actions steps within any phase of a CodeBuild buildspec file but with a self-hosted runner, jobs […]
De-risk releases with AWS CodePipeline rollbacks
It’s an established practice for development teams to build deployment pipelines, with services such as AWS CodePipeline, to increase the quality of application and infrastructure releases through reliable, repeatable and consistent automation. Automating the deployment process helps build quality into our products by introducing continuous integration to build and test code as early as possible, […]
Best practices for managing Terraform State files in AWS CI/CD Pipeline
Introduction Today customers want to reduce manual operations for deploying and maintaining their infrastructure. The recommended method to deploy and manage infrastructure on AWS is to follow Infrastructure-As-Code (IaC) model using tools like AWS CloudFormation, AWS Cloud Development Kit (AWS CDK) or Terraform. One of the critical components in terraform is managing the state file which […]
Strategies to optimize the costs of your builds on AWS CodeBuild
AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces ready-to-deploy software packages. With CodeBuild, you don’t need to provision, manage, and scale your own build servers. You just specify the location of your source code and choose your build settings, and CodeBuild will run your build scripts […]
Hazard analysis and Chaos engineering at Vanguard Group
Anticipating events that can cause a disruption to your system’s service is critical to building highly available, reliable systems. Hazard analysis gives you a method to identify such events. Chaos engineering gives you a method to confirm that a system behaves as expected in adverse conditions. By combining these methods, Vanguard is building reliability into […]
Improve the performance of Lambda applications with Amazon CodeGuru Profiler
Amazon CodeGuru Profiler recently began providing recommendations for applications written in Python. Additionally, the new automated onboarding process for Lambda functions makes it even easier to use CodeGuru Profiler with serverless applications built on Lambda. This post highlights these new features by explaining how to set up and utilize Codeguru Profiler on an AWS Lambda function written in Python.
Deploy data lake ETL jobs using CDK Pipelines
This post is co-written with Isaiah Grant, Cloud Consultant at 2nd Watch. Many organizations are building data lakes on AWS, which provides the most secure, scalable, comprehensive, and cost-effective portfolio of services. Like any application development project, a data lake must answer a fundamental question: “What is the DevOps strategy?” Defining a DevOps strategy for […]