AWS DevOps & Developer Productivity Blog

Category: Advanced (300)

Automate Active Directory joins for Elastic Beanstalk Windows applications

Automate Active Directory joins for Elastic Beanstalk Windows applications

AWS Elastic Beanstalk now joins your Windows Server instances to an Active Directory domain automatically at launch, before your application deploys, with no join scripts and no stored domain credentials. This walkthrough shows how to set it up, confirm the join, and see how Elastic Beanstalk reports a failed join without failing your deployment.

HERE Technologies and AWS: Accelerating NDS.Live with agentic AI

HERE Technologies and AWS: Accelerating NDS.Live with agentic AI

HERE Technologies is accelerating NDS.Live map data development with an orchestrated, multi-agent approach built on Kiro. Kiro powers, the Kiro CLI, a three-layer memory system, and Code Intelligence turned a fragile, manual workflow into a consistent, largely automated process with ASPICE traceability captured as work is created.

Closed-loop incident response: connect AWS DevOps Agent to OpenSearch

Closed-loop incident response: connect AWS DevOps Agent to OpenSearch

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.

Automating the Experimentation Lifecycle with Kiro, AWS DevOps Agent, and LaunchDarkly

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 […]

Automate planned lifecycle upgrades with AWS DevOps Agent and Kiro

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.

Feature Flag Orchestration with AWS DevOps Agent and LaunchDarkly

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 […]

Agentic application modernization at scale with Strands and Amazon Transform custom

Introduction Modernizing applications by upgrading language runtimes, migrating SDKs, and refactoring frameworks is important for cloud adoption but can be labor-intensive at scale. Each repository requires analysis of dependencies and transformation needs; custom transformation logic must be built and validated, and changes are often executed sequentially across codebases. If you have hundreds of applications, this […]

Flexibility to Framework: Building MCP Servers with Controlled Tool Orchestration

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 […]