AWS DevOps

Blue/green deployments on Amazon Elastic Container Service (Amazon ECS) have long been a go-to pattern for shipping zero-downtime deployments. Historically, the recommended approach in the AWS Cloud Development Kit (AWS CDK) was to wire ECS to AWS CodeDeploy for traffic shifting, lifecycle hooks, and tight integration with AWS CodePipeline. In July 2025, Amazon ECS launched

Introduction Software maintenance and modernization is a critical challenge for enterprises managing hundreds or thousands of repositories. Whether upgrading Java versions, migrating to new AWS SDKs, or modernizing frameworks, the scale of transformation work can be overwhelming. AWS Transform custom uses agentic AI to perform large-scale modernization of software, code, libraries, and frameworks to reduce

In today’s rapidly evolving software landscape, maintaining and modernizing Java applications is a critical challenge for many organizations. As new Java versions are released and best practices evolve, the need for efficient code transformation becomes increasingly important. Organizations today face significant challenges when modernizing their Java applications. Legacy codebases often contain outdated patterns, deprecated APIs,

Root cause analysis during incidents is one of the most time-consuming and stressful parts of operating cloud applications. Engineers must quickly correlate telemetry data across multiple services, review deployment history, and understand complex application dependencies—all while under pressure to restore service. AWS DevOps Agent changes this paradigm by bringing autonomous investigation capabilities to your operations

AWS CloudFormation enables you to model and provision your cloud application infrastructure as code-base templates. Whether you prefer writing templates directly in JSON or YAML, or using programming languages like Python, Java, and TypeScript with the AWS Cloud Development Kit (CDK), CloudFormation and CDK provide the flexibility you need. For organizations adopting multi-account strategies, CloudFormation

At re:Invent 2025, Matt Garman announced AWS DevOps Agent, a frontier agent that resolves and proactively prevents incidents, continuously improving reliability and performance. As a member of the DevOps Agent team, we’ve focused heavily on making sure that the “incident response” capability of the DevOps Agent generates useful findings and observations. In particular, we’ve been

The AWS SDK for Java v2 represents a fundamental shift in how Java applications interact with AWS services, addressing critical security requirements while delivering measurable performance improvements. For organizations still operating on v1, this transition extends beyond a routine version upgrade—it’s a strategic imperative for maintaining secure, efficient cloud operations. With v1 reaching end-of-support on December 31, 2025,

This post was contributed by Adi Ziv, Senior Platform Engineer at Kaltura, with collaboration from AWS. Kaltura, a leading AI video expirience cloud and corporate communications technology provider, transformed CI/CD infrastructure by migrating to AWS CodeBuild-hosted runners for GitHub Actions. This migration reduced DevOps operational overhead by 90%, accelerated build queue times by 66%, and

This post was co-written with Muthuvelan Swaminathan (Principal Partner Engineer) and Ruchika Bakolia (Software Engineer) from New Relic. Modern distributed systems that generate massive volumes of metrics, traces, and logs are inherently complex. The process of correlating logs, comparing configurations and switching between tools during incident management makes manual root cause analysis a bottleneck that

This post was co-written with Omri Sass (Director of Product Management), Cansu Berkem (Director of Product Management), and Mohammad Jama (Product Marketing Manager) from Datadog. On-call engineers spend hours manually investigating incidents across multiple observability tools, logs, and monitoring systems. This process delays incident resolution and impacts business operations, especially when teams need to correlate

The AI-Driven Development Life Cycle (AI-DLC) methodology marks a significant change in software development by strategically assigning routine tasks to AI while maintaining human oversight for critical decisions. Amazon Q Developer, a generative AI coding assistant, supports the entire software development lifecycle and offers the Project Rules feature, allowing users to tailor their development practices

AI-Driven Development Life Cycle (AI-DLC) holds the promise of unlocking the full potential of AI in software development. By emphasizing AI-led workflows and human-centric decision-making, AI-DLC can deliver velocity and quality. However, realizing these gains hinges on how organizations effectively integrate AI into their engineering workflows. Through our work with engineering teams across industries, we

Streamline your AWS infrastructure development with AI-powered documentation search, validation, and troubleshooting Introduction Today, we’re excited to introduce the AWS Infrastructure-as-Code (IaC) MCP Server, a new tool that bridges the gap between AI assistants and your AWS infrastructure development workflow. Built on the Model Context Protocol (MCP), this server enables AI assistants like Kiro CLI,

Back in July 2024, we announced plans to de-emphasize AWS CodeCommit based on adoption patterns and our assessment of customer needs. We never stopped looking at the data or listening to you, and what you’ve shown us is clear: you need an AWS-managed solution for your code repositories. Based on this feedback, CodeCommit is returning

AWS re:Invent 2025 is just around the corner, and if you’re a developer looking to level up your skills, the Developer Tool (DVT) track has an incredible lineup waiting for you. From CI/CD pipelines and full-stack development to Infrastructure as Code and AI-powered coding agents, this year’s sessions will help you build faster, smarter, and

AWS CloudFormation models and provisions cloud infrastructure as code, letting you manage entire lifecycle operations through declarative templates. Stack Refactoring console experience, announced today, extends the AWS CLI experience launched earlier. Now, you move resources between stacks, rename logical IDs, and decompose monolithic templates into focused components without touching the underlying infrastructure using the CloudFormation

Introduction AWS CloudFormation StackSets enable you to deploy CloudFormation stacks across multiple AWS accounts and regions with a single operation, providing centralized management of infrastructure at scale through AWS Organizations integration. In enterprise environments, multiple StackSet often need to deploy in a specific order. For example, networking infrastructure must be ready before applications can deploy

If you’ve developed AWS CloudFormation templates, you know the drill; write YAML (YAML Ain’t Markup Language) in your IDE (Integrated Development Environment), switch to the AWS Management Console to validate, jump to documentation to verify property names. Then run CFN Lint (CloudFormation Linter) in your terminal, deploy and wait, then troubleshoot failures back in the

Introduction: Repository-Level Code Migration Code migration is a repository-level transformation process that modernizes entire software projects to run on new platforms, frameworks, or runtime environments while preserving their original functionality and structure. Rather than focusing on isolated files or APIs, it operates across the full repository, spanning source code, dependencies, build systems, and configuration files

Introduction Is configuration drift preventing you from accessing the speed, safety, and governance benefits of AWS CloudFormation for infrastructure management? Configuration drift occurs when cloud resources are modified outside of CloudFormation, leading to a mismatch in the actual state and template definition of resources. Drift tends to accumulate from infrastructure changes that engineers make via