AWS DevOps & Developer Productivity Blog

42 articles

Building a scalable code modernization solution with AWS Transform custom

by Dinesh Prabakaran

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 […]

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AWS Transform custom: AI-driven Java modernization to reduce tech debt

by Dinesh Prabakaran

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 Legacy codebases often contain outdated patterns, deprecated APIs, […]

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Best Practices for Deploying AWS DevOps Agent in Production

by Greg Eppel

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 […]

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AWS CloudFormation 2025 Year In Review

by Idriss Laouali Abdou

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 […]

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From AI agent prototype to product: Lessons from building AWS DevOps Agent

by Efe Karakus

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 […]

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Automating AWS SDK for Java v1 to v2 Upgrades with AWS Transform

by Brent Everman

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, […]

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How Kaltura Accelerates CI/CD Using AWS CodeBuild-hosted Runners

by Michael Shapira

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 cut infrastructure costs by 60%. Most importantly, the migration achieved these results while supporting Kaltura’s scale: […]

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Resolve and prevent operational incidents with AWS DevOps Agent and New Relic

by Nava Ajay Kanth Kota

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 […]

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Accelerate autonomous incident resolutions using the Datadog MCP server and AWS DevOps agent (in preview)

by Nina Chen

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 […]

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Open-Sourcing Adaptive Workflows for AI-Driven Development Life Cycle (AI-DLC)

by Will Matos

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 […]

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Building with AI-DLC using Amazon Q Developer

by Will Matos

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 […]

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Introducing the AWS Infrastructure as Code MCP Server: AI-Powered CDK and CloudFormation Assistance

by Idriss Laouali Abdou

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, […]

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Introducing AWS CloudFormation Stack Refactoring Console Experience: Reorganize Your Infrastructure Without Disruption

by Brian Terry

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 […]

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Take fine-grained control of your AWS CloudFormation StackSets Deployment with StackSet Dependencies

by Tanvi Ravindra Malali

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 […]

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Introducing AWS CloudFormation Stack Refactoring: Reorganize Your Infrastructure Without Disruption

by Brian Terry

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 […]

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Safely Handle Configuration Drift with CloudFormation Drift-Aware Change Sets

by JJ Lei

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 […]

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Amazon introduces two benchmark datasets for evaluating AI agents’ ability on code migration

by Linbo Liu

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 […]

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Announcing CloudFormation IDE Experience: End-to-End Development in Your IDE

by Damola Oluyemo

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 console. This constant […]

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Accelerate infrastructure development with CloudFormation pre-deployment validation and simplified troubleshooting

by Idriss Laouali Abdou

AWS CloudFormation makes it easy to model and provision your cloud application infrastructure as code. CloudFormation templates can be written directly in JSON or YAML, or they can be generated by tools like the AWS Cloud Development Kit (CDK). Resources are created and managed by CloudFormation as units called Stacks. Additionally, change set enable you […]

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Streamlining Multi-Account Infrastructure with AWS CloudFormation StackSets and AWS CDK

by Franco Abregu

Introduction Organizations operating at scale on AWS often need to manage resources across multiple accounts and regions. Whether it’s deploying security controls, compliance configurations, or shared services, maintaining consistency can be challenging. AWS CloudFormation StackSets (StackSets) has been helping organizations deploy resources across multiple accounts and regions since its launch. While the service is powerful […]

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Flexibility to Framework: Building MCP Servers with Controlled Tool Orchestration

by Kevon Mayers

MCP (Model Context Protocol) is a protocol designed to standardize interactions with Generative AI models, making it easier to build and manage AI applications. It provides a consistent way to communicate context with different types of models, regardless of where they’re hosted or how they’re implemented. The protocol helps bridge the gap between model deployment […]

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Introducing AWS Cloud Control API MCP Server: Natural Language Infrastructure Management on AWS

by Kevon Mayers

Today, we’re officially announcing the AWS Cloud Control API (CCAPI) MCP Server. This MCP server transforms AWS infrastructure management by allowing developers to create, read, update, delete, and list resources using natural language. As part of the awslabs/mcp project, this new and innovative tool serves as a bridge between natural language commands and AWS infrastructure […]

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Accelerating AWS Infrastructure Deployment: A Practical Guide to Console-to-Code

by Damola Oluyemo

In today’s cloud-first environment, Infrastructure as Code (IaC) has become crucial for managing cloud resources effectively. However, organizations often face significant challenges in adopting IaC practices, including steep learning curves, complex syntax requirements, and difficulty translating manual operations into code.  Amazon Q Developer‘s Console-to-Code feature addresses these challenges by providing an intuitive bridge between manual AWS […]

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Measuring Developer Productivity with Amazon Q Developer and Jellyfish

by Madhu Balaji

Modern software development teams face increasing pressure to deliver high-quality code faster, while managing growing system complexity. Developers often spend significant time on necessary, but undifferentiated work, or “toil”. Toil is often manual, repetitive, and of limited enduring value, making it a strong candidate for automation or delegation to generative AI tools. The re:Invent 2024 […]

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StackSets Deployment Strategies: Balancing Speed, Safety, and Scale to Optimize Deployments for Different Organizational Needs

by Amar Meriche

AWS CloudFormation StackSets enables organizations to deploy infrastructure consistently across multiple AWS accounts and regions. However, success depends on choosing the right deployment strategy that balances three critical factors: deployment speed, operational safety, and organizational scale. This guide explores proven StackSets deployment strategies specifically designed for multi-account infrastructure management. Understanding StackSets Deployment Fundamentals What are […]

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Reduce Docker image build time on AWS CodeBuild using Amazon ECR as a remote cache

by Kirubakaran Sundaramoorthy

In modern software development, containerization with Docker has revolutionized how we build and deploy applications. While Docker enables packaging applications into portable containers, the continuous need to update these images can be resource intensive. AWS CodeBuild addresses this challenge by providing a managed build service that eliminates infrastructure maintenance overhead. In this blog post, we’ll […]

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Moeve: Controlling resource deployment at scale with AWS CloudFormation Guard Hooks

by Pablo Sánchez Carmona

This post is co-written with Rayco Martínez Hernández, Head of Cloud Governance at Moeve. Moeve, formerly known as Cepsa, is a global integrated energy company with over 90 years of experience and more than 11,000 employees. Moeve is committed to driving Europe’s energy transition and accelerating decarbonization efforts. The company has embraced digital transformation to […]

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How to Simplify Multi-Account Deployments Monitoring: Centralized Logs for AWS CloudFormation StackSets

by Idriss Laouali Abdou

Introduction As organizations adopt multi-account strategies for improved security features and governance, AWS CloudFormation StackSets enables organizations to deploy infrastructure across multiple accounts and regions. However, monitoring and tracking these distributed deployments across multiple accounts presents operational challenges. When a critical security baseline deployed across 50 accounts suddenly starts failing, teams face the daunting task of logging […]

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Multi-Cloud Code Deployments using Amazon Q Developer with Echo3D

by Kevon Mayers

Overview Founded in 2018, echo3D built a revolutionary 3D digital asset management (DAM) platform to address the surging demand for immersive content across industries. The company’s platform enables enterprises to seamlessly store, secure, optimize, and share 3D content, serving over 200,000 professionals across energy, healthcare, gaming, retail, and beyond. echo3D’s platform has become the go-to […]

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Infrastructure as Code at Thomson Reuters with AWS CDK

by Vu San Ha Huynh

This post is cowritten by Danilo Tommasina and Lalit Kumar B from Thomson Reuters. Large organizations often struggle with infrastructure management challenges including compliance issues, development bottlenecks and errors from inconsistent AWS resource creation across teams. Without standardized naming, tagging and policy enforcement, teams face repeated boilerplate code and difficulty accessing centrally-managed resources. In this […]

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Boosting Unit Test Automation at Audible with Amazon Q Developer

by Kirankumar Chandrashekar

Audible, an Amazon company, is a leading producer and provider of audio storytelling. With a vast library of over 1,000,000 titles including audiobooks, podcasts, and Audible Originals with specific curated offerings available in each marketplace, Audible makes it easy to transform everyday moments into extraordinary opportunities for learning, imagination, and entertainment through immersive audio experiences. […]

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