De-risk, modernize, and move faster on AWS with LaunchDarkly. Unify feature flags, release observability, experimentation and AI configuration management to safely ship new software and AI apps.
LaunchDarkly + AWS
Your path to cloud confidence
Migrate, innovate, and accelerate.

Innovation in every industry
Software
Velocity with safety
Decouple deploy from release on AWS, allowing continuous integration and deployment while gating new features with flags. This reduces downtime risk and enables mid-deployment rollbacks without redeploys.
Cross-service coordination
Use LaunchDarkly targeting to coordinate releases across dozens of microservices running in AWS Lambda or ECS, ensuring dependent services update in lockstep rather than risking cascading failures.
Experimentation at scale
Embed experimentation into the delivery pipeline by attaching experiments to any feature flag. This enables rapid iteration on pricing flows, collaboration features, or UI changes, with statistically rigorous results trusted by both engineering and product teams.
Deploy faster
Migrate and modernize faster
LaunchDarkly lets you roll out back-end components in a gradual, controlled manner—enabling speed through safety.
Accelerate AI development
Safely control and accelerate the deployment of AI applications on AWS by using LaunchDarkly and Amazon Bedrock to rapidly iterate on new models and prompts, instantly roll back issues, and customize and optimize experiences across audiences.
Move from pilot to production faster
Accelerate safe deployment with progressive rollouts, instant rollback, and reduced production risk.
Demonstrate real business impact
Optimize prompts, models, and tools directly against business metrics with full visibility into cost, performance, and behavior.
Stay ahead of innovation
Seamlessly adopt new models and workflows while keeping production stable and experimentation rapid.

AWS integrations available
to LaunchDarkly customers

Amazon Bedrock
Deploy, measure, and improve prompts, models, tools, and agents in production with LaunchDarkly AI Configs.

AWS CloudTrail Lake
LaunchDarkly sends an event to AWS CloudTrail if a feature flag is updated or a new account member is added.

Amazon Kinesis Data Streams
Export log stream data for real-time processing to perform complex queries and analysis on your LaunchDarkly data.
Explore More
Talk
An AWS Perspective: Accelerate your migration to AWS
Explore approaches to incrementally decompose your monolith into serverless microservices.

Webinar
AWS & LaunchDarkly: De-Risking Releases with Guarded Releases
See how LaunchDarkly and AWS empower software development teams to confidently manage releases and mitigate risk

Blog
AI Development With LaunchDarkly: Release, Measure, and Iterate
Use our runtime capabilities to continuously release, measure, and iterate without compromising safety.
