AWS DevOps & Developer Productivity Blog
Building a scalable code modernization solution with AWS Transform custom
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 […]
AWS Transform custom: AI-driven Java modernization to reduce tech debt
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 Legacy codebases often contain outdated patterns, deprecated APIs, […]
Best Practices for Deploying AWS DevOps Agent in Production
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 2025 Year In Review
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 […]
From AI agent prototype to product: Lessons from building AWS DevOps Agent
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 […]
Automating AWS SDK for Java v1 to v2 Upgrades with AWS Transform
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, […]
How Kaltura Accelerates CI/CD Using AWS CodeBuild-hosted Runners
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 […]
Resolve and prevent operational incidents with AWS DevOps Agent and New Relic
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 […]
Accelerate autonomous incident resolutions using the Datadog MCP server and AWS DevOps agent (in preview)
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 […]
Building with AI-DLC using Amazon Q Developer
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 […]








