AWS DevOps Blog

Category: Developer Tools

Using Federated Identities with AWS CodeCommit

Thanks to Raja Mani, AWS Solutions Architect, for this great blog that describes how federated users can access AWS CodeCommit. — You can access repositories in AWS CodeCommit using the identities used in your business. This is useful because you can reuse your existing organizational identities and authentication methods. In this blog post, we’ll focus […]

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How to Test and Debug AWS CodeDeploy Locally Before You Ship Your Code

AWS CodeDeploy is a powerful service for automating deployments to Amazon EC2, AWS Lambda, and on-premises servers. However, it can take some effort to get complex deployments up and running or to identify the error in your application when something goes wrong. When I set up new deployments or debug existing ones, I like to […]

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How to Run Headless Front-End Tests with AWS Cloud9 and AWS CodeBuild

Automated testing is a critical component to a well-designed software development lifecycle. When you test front-end applications, you often use a browser in combination with testing frameworks. A headless browser is one that is used on a server that does not normally need to run visual applications. In this blog post, I will show you […]

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Extending AWS CodeBuild with Custom Build Environments for the .NET Framework

Thanks to Greg Eppel, Sr. Solutions Architect, Microsoft Platform for this great blog that describes how to create a custom CodeBuild build environment for the .NET Framework. — AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages that are ready to deploy. CodeBuild provides curated build […]

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Integrating JFrog Artifactory with AWS CodePipeline

When I talk with customers and partners, I find that they are in different stages in the adoption of DevOps methodologies. They are automating the creation of application artifacts and the deployment of their applications to different infrastructure environments. In many cases, they are creating and supporting multiple applications using a variety of coding languages […]

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Use Slack ChatOps to Deploy Your Code – How to Integrate Your Pipeline in AWS CodePipeline with Your Slack Channel

Slack is widely used by DevOps and development teams to communicate status. Typically, when a build has been tested and is ready to be promoted to a staging environment, a QA engineer or DevOps engineer kicks off the deployment. Using Slack in a ChatOps collaboration model, the promotion can be done in a single click […]

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Refining Access to Branches in AWS CodeCommit

Thanks to Susan Ferrell, Senior Technical Writer, for a great blog post on how to use CodeCommit branch-level permissions. —- AWS CodeCommit users have been asking for a way to restrict commits to some repository branches to just a few people. In this blog post, we’re going to show you how to do that by creating […]

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Announcing Local Build Support for AWS CodeBuild

Today, we’re excited to announce local build support in AWS CodeBuild. AWS CodeBuild is a fully managed build service. There are no servers to provision and scale, or software to install, configure, and operate. You just specify the location of your source code, choose your build settings, and CodeBuild runs build scripts for compiling, testing, and […]

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CI/CD with Data: Enabling Data Portability in a Software Delivery Pipeline with AWS Developer Tools, Kubernetes, and Portworx

This post is written by Eric Han – Vice President of Product Management Portworx and Asif Khan – Solutions Architect Data is the soul of an application. As containers make it easier to package and deploy applications faster, testing plays an even more important role in the reliable delivery of software. Given that all applications have data, development […]

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Secure Builds with AWS CodeBuild and LayeredInsight

This post is written by Asif Awan, Chief Technology Officer of Layered Insight, Subin Mathew – Software Development Manager for AWS CodeBuild, and Asif Khan – Solutions Architect Enterprises adopt containers because they recognize the benefits: speed, agility, portability, and high compute density. They understand how accelerating application delivery and deployment pipelines makes it possible to rapidly […]

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