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Increasing developer productivity has been a persistent challenge for senior leaders over the past decades. With the rise of generative artificial intelligence (AI), a new wave of innovation is transforming how software teams work. Generative AI tools like Amazon Q Developer are emerging as game-changers, supporting developers across the entire software development lifecycle. But how […]
Landing Zone Accelerator on AWS (LZA) enables customers to deploy a flexible, configuration-driven solution to establish a landing zone while also leveraging AWS Control Tower. At AWS Professional Services, we’ve helped customers deploy and configure LZA hundreds of times. A common request we encounter is integrating LZA configuration into customers’ existing GitOps workflows. GitOps has […]
As software development continues to evolve at a rapid pace, developers are constantly seeking tools that can streamline their workflow, improve code quality, and boost productivity. Amazon Web Services (AWS) has answered this call with the introduction of powerful new AI agents for Amazon Q Developer. AI-powered agents transform the way developers approach documentation, unit […]
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 […]
Refactor serverless apps by swapping application code with cloud automation: reduce costs, decouple logic from architecture, and leverage managed services’ native capabilities.
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 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 […]
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, […]
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 […]
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 […]
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