AWS DevOps & Developer Productivity Blog

Guest post in collaboration with Company 3 Director of New Technology, Phil Wortas, and Senior New Technology Engineer, Matthew Galloway Introduction Company 3 provides specialized services for the entertainment industry, including post-production services, visual effects, and color grading for feature films, commercials, and television content. Their teams collaborate globally to Increase workflow efficiency and expand […]

This post was co-authored by Ayelet Harcz (Product Manager), Hen Perez (CTO Architect), and Shani Gafni (Product Manager) at Wiz. When an on-call engineer receives an alert at 2 AM, a CPU spike, a latency anomaly, or an unexpected API error, the first question is whether this is an operational issue or a security incident. […]

Introduction Automated incident remediation – turning investigation findings into deployed fixes without manual toil – is the next frontier for operations teams running distributed workloads on AWS. Today, when an incident fires at 2 AM, the on-call engineer must correlate telemetry across Amazon CloudWatch, deployment pipelines, and application logs, then manually write and deploy a […]

AWS CloudFormation helps you model and provision cloud infrastructure as code using JSON or YAML templates, or through tools like the AWS Cloud Development Kit (CDK) and AWS Serverless Application Model (SAM). Whether you create stacks directly, use change sets for preview, or deploy through CI/CD pipelines and AI agents, the speed of your deployment […]

AWS CloudFormation helps you model and provision cloud infrastructure as code using JSON or YAML templates, or through tools like the AWS Cloud Development Kit (CDK). Whether you create stacks directly, use change sets for preview, or deploy through CI/CD pipelines and AI agents, fast feedback on template errors is critical to development velocity. Previously, […]

Custom code transformations are the work that no off-the-shelf migrator covers for you. Moving your services off an internal library, enforcing your team’s error-handling conventions, standardizing logging across your fleet of services: that work piles up on your backlog because general-purpose tools weren’t written with your codebase in mind. AWS Transform custom tackles that kind […]

Introduction Organizations that use feature flags alongside incident response tooling often connect the two manually. When an outage occurs, engineers must identify which flags are relevant, decide whether to disable them, and coordinate the change across teams. This manual process adds latency at the moment it matters most. You can use AWS DevOps Agent and […]

When an alarm fires at 2 AM, the first thing most engineers do is grep logs, check recent deployments, and trace code paths. However, the context they need — metrics, traces, topology, configurations — lives in a separate browser tabs and applications. What if your IDE could bring that cloud intelligence directly to your code, […]

When something breaks in production, you find out fast. Understanding why it broke, before the damage spreads, is the hard part. That is where Site Reliability Engineering (SRE) teams lose the most time. Think about the last time you got paged at 2 a.m. The alert said something broke, not why. You open four or […]

This post was co-written with Bharadwaj Tanikella (AI/ML Product Engineering Leader) and Mohammad Jama (Product Marketing Manager) from Datadog. In December 2025, we showed how AWS DevOps Agent and Datadog MCP Server could work together to autonomously correlate monitoring data with the infrastructure deployed and configured on AWS to resolve incidents in minutes instead of […]