AWS DevOps & Developer Productivity Blog

This diagram depicts the deployment architecture for Jenkins on AWS Fargate

Building a serverless Jenkins environment on AWS Fargate

Jenkins is a popular open-source automation server that enables developers around the world to reliably build, test, and deploy their software. Jenkins uses a controller-agent architecture in which the controller is responsible for serving the web UI, stores the configurations and related data on disk, and delegates the jobs to the worker agents that run […]

CI/CD on Amazon EKS using AWS CodeCommit, AWS CodePipeline, AWS CodeBuild, and FluxCD

This post discusses how we can speed up the development of our Kubernetes infrastructure by using a continuous integration (CI) pipeline to build our Docker images and automatically deploy them to our Amazon Elastic Kubernetes Service (Amazon EKS) cluster using FluxCD and the GitOps philosophy as the continuous delivery (CD) element. To do so, we […]

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Improving your Java applications using Amazon CodeGuru Profiler

Debugging performance issues is always a challenge, especially in production. In the normal software development workflow, as we start writing and reviewing our code, we may introduce bugs or inefficiencies that lead to decreased overall performance of our application after deployment. So, we created Amazon CodeGuru, a developer tool powered by machine learning (ML) that […]

Integrating AWS Device Farm with your CI/CD pipeline to run cross-browser Selenium tests

Continuously building, testing, and deploying your web application helps you release new features sooner and with fewer bugs. In this blog, you will create a continuous integration and continuous delivery (CI/CD) pipeline for a web app using AWS CodeStar services and AWS Device Farm’s desktop browser testing service.  AWS CodeStar is a suite of services […]

Gaining operational insights with AIOps using Amazon DevOps Guru

Amazon DevOps Guru offers a fully managed AIOps platform service that enables developers and operators to improve application availability and resolve operational issues faster. It minimizes manual effort by leveraging machine learning (ML) powered recommendations. Its ML models take advantage of AWS’s expertise in operating highly available applications for the world’s largest e-commerce business for […]

Developing enterprise application patterns with the AWS CDK

Enterprises often need to standardize their infrastructure as code (IaC) for governance, compliance, and quality control reasons. You also need to manage and centrally publish updates to your IaC libraries. In this post, we demonstrate how to use the AWS Cloud Development Kit (AWS CDK) to define patterns for IaC and publish them for consumption […]

CDK Corner – February 2021

Social: Events in the Community CDK Day is coming up on April 30th! This is your chance to meet and engage with the CDK Community! Last year’s event included an incredible amount of content, whether it was learning the origin story of CDK, learning how CDK is used in a Large Enterprise, there were many […]

Improving AWS Java applications with Amazon CodeGuru Reviewer

Amazon CodeGuru Reviewer is a machine learning (ML)-based AWS service for providing automated code reviews comments on your Java and Python applications. Powered by program analysis and ML, CodeGuru Reviewer detects hard-to-find bugs and inefficiencies in your code and leverages best practices learned from across millions of lines of open-source and Amazon code. You can […]

architecture diagram showing ETL process

Using AWS DevOps Tools to model and provision AWS Glue workflows

This post provides a step-by-step guide on how to model and provision AWS Glue workflows utilizing a DevOps principle known as infrastructure as code (IaC) that emphasizes the use of templates, source control, and automation. The cloud resources in this solution are defined within AWS CloudFormation templates and provisioned with automation features provided by AWS […]

Amazon CodeGuru Profiler Heap Summary view

Understanding memory usage in your Java application with Amazon CodeGuru Profiler

“Where has all that free memory gone?” This is the question we ask ourselves every time our application emits that dreaded OutOfMemoryError just before it crashes. Amazon CodeGuru Profiler can help you find the answer. Thanks to its brand-new memory profiling capabilities, troubleshooting and resolving memory issues in Java applications (or almost anything that runs […]