Category: Learning Levels

AWS CodeDeploy now offers a purpose-built RESTART deployment mode that reapplies the last successful revision to EC2 and on-premises fleets. It keeps restarts inside CodeDeploy with the same batch sizing, health checks, alarm monitoring, and rollback behavior as a standard deployment, and ran up to 6.1x faster in testing.

Learn how to connect AWS DevOps Agent investigation events to third-party tools such as Jira using Amazon EventBridge and AWS Lambda. This post walks through a deployable AWS CDK solution that automatically creates and updates Jira issues as an investigation progresses, and shows how to adapt the same pattern to ServiceNow, PagerDuty, and other tools.

Connect AWS DevOps Agent to your Amazon OpenSearch Service observability data using the Model Context Protocol (MCP), so an alert that fires at 2 AM triggers autonomous root cause investigation. Covers three MCP server hosting paths (self-managed on Amazon ECS, Amazon Bedrock AgentCore, or built-in OpenSearch 3.3+), plus alert routing and FGAC role mapping.

Mirelo AI turned its hosted Model Context Protocol (MCP) server into a Kiro power, so developers can generate production-ready sound effects from a natural-language prompt without leaving their IDE. Learn how Mirelo built the integration and how AWS Enterprise Support helped bring it to the Kiro powers marketplace.

Property Finder built end-to-end autonomous incident management with AWS DevOps Agent. The full lifecycle, from alert to root cause analysis, Jira ticket, on-call page, and an auto-remediation pull request, completes in 14 minutes, down from 2 to 3 days for detection alone.

AWS DevOps Agent investigates production incidents and proposes or applies fixes on your behalf, raising two questions for every operation and security review: what did the agent do, and how do you understand its impact? Learn how to build a durable, low-maintenance audit trail using the agent journal, Amazon EventBridge lifecycle events, and AWS CloudTrail.

Introduction Continuous improvement depends on experimentation. Teams know that the fastest path to better outcomes is to test changes against real user behavior, measure results, and iterate. In practice, sustaining that cycle is slow and costly because the overhead compounds with each attempt. Three barriers slow teams down: 1. Planning cost — Turning a proposed […]

AWS Health Planned Lifecycle Events signal when a managed service version is nearing end of standard support. Learn how to automate these upgrades end to end with AWS DevOps Agent and Kiro: detect the event, investigate the upgrade path, apply validated code changes, and open a pull request for human review.

Introduction Large-scale machine learning workloads: training, fine-tuning, and inference run on clusters of hundreds to thousands of GPU instances for days or weeks at a stretch. Keeping operational visibility across a fleet of this size is a constant challenge: hardware health events, node lifecycle transitions, capacity fluctuations, and workload-level issues appear in the event stream around […]

Walk through a complete CloudFormation development cycle – authoring, validation, deployment, and troubleshooting – without leaving your AI assistant, using the AWS IaC MCP Server.