Fuel your product’s future by accelerating innovation at scale. Use LaunchDarkly as a safety net for front-end and back-end feature releases on AWS, including AI applications built using Amazon Bedrock and SageMaker.
LaunchDarkly + AWS
Your path to cloud confidence
Migrate, innovate, and accelerate.
De-risk software releases and AI deployments
Improve the velocity and stability of feature releases. Progressively deliver and instantly roll back.
Instant release and rollback
Our flag delivery architecture propagates flag changes in 200ms.
Release targeting
Shrink the blast radius by rolling out to any segment of users, devices, regions, and more.
Release Assistant
Automate and scale multi-step rollouts that align to organizational best practices and governance standards.
Target and personalize product experiences
Serve features tailored to any audience segment without the prohibitive engineering burden.
Context-based targeting
Target and personalize software experiences based on any attribute or variable, not just “users”.
Synced user segments
Sync audiences in your customer data platform with LaunchDarkly to deliver targeted experiences based on real-time audience data.
Automated feature entitlements
Grant the right users access to the right features based on customer tier, local regulations, and more.
Enhance product experiments with GenAI
Streamline measurement and iteration, reduce complexity, and get better results in less time.
More ideas without adding complexity
Our GenAI solution comes up with more testable variants and new solutions, improving product development.
Faster time from ideation to business value
Expanded experiment variations allow engineering and product teams to find the optimal product configurations, for every audience, faster.
Improved data-driven decision making
Fuel future testing using historic data from experiments, and continuously optimize, adapt, and fine-tune your products.
Optimize mobile releases and in-app experiences
Ship mobile features and fixes on your schedule, not the app store’s.
Mobile Lifecycle Assistant
Save time and deliver best-in-class mobile app experiences with ease.
Automated mobile contexts
Auto-populate common app and device properties for seamless targeting.
Releases decoupled from the app store
Deliver changes without waiting on app store approval windows or end-users updating their app.
LaunchDarkly on AWS
Migrate
Migrate and modernize faster
LaunchDarkly lets you roll out back-end components in a gradual, controlled manner—enabling speed through safety.
eBook: 3 ways to end the misery of tech migrations
+
Amazon Kinesis Data Streams
Export log stream data for real-time processing, allowing you to perform complex queries and analysis on your LaunchDarkly data.
+AWS CloudWatch RUM
Perform Real User Monitoring (RUM) to collect and view client-side performance data from actual user sessions in near real-time.
+AWS CloudTrail Lake
LaunchDarkly sends an event to AWS CloudTrail if a feature flag is updated or a new account member is added.
.webp)
