Sold by: LaunchDarkly
Deployed on AWS
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Accelerate innovation at AI scale by using LaunchDarkly for your front-end and back-end feature releases on AWS, including AI applications using Amazon Bedrock and AgentCore!
4.5
Overview
Unlock the full potential of your AWS-based applications with LaunchDarkly, the runtime control platform for the AI era, trusted by software teams to control AI-generated code and AI agents in production at any scale.
Accelerate your software development lifecycle, de-risk deployments, and move at AI speed while staying in control.
The LaunchDarkly platform delivers runtime control through two solutions: CodeControl and AgentControl.
CodeControl helps teams ship AI-generated code confidently. With CodeControl, teams can observe production behavior, make changes in real time, and limit exposure based on actual impact. Through a combination of industry-leading feature flags, progressive rollouts, real-time observability, experimentation, and automatic recovery, LaunchDarkly gives organizations the ability to move at AI speed without giving up control.
AgentControl helps teams keep AI agents in check in production, blocking bad behavior and steering responses in real time. Teams can configure prompts and models before launch, monitor and observe live performance and behavior, and automatically take action, without redeploying. When agents make curious decisions, or when small prompt or model changes cause big issues, AgentControl detects and corrects them as they happen.
With runtime control across code and agents, LaunchDarkly helps enable teams to ship AI-built software with confidence, govern agent behavior in production, optimize AI performance and cost, build self-healing systems, and experiment continuously. The result is faster release velocity, lower production risk, and the ability to continuously adapt software and AI systems without slowing down to stay safer.
For custom pricing, EULA, or a private offer, please contact aws-alliance@launchdarkly.com
Highlights
- Ship AI generated code confidently, with feature flags, progressive deliver, automatic rollback and runtime control.
- AgentControl helps keep agents on track, blocking bad behavior and steering responses in real time, enabling agents that improve continuously, and self-heal.
- Test in production with faster loops. Use AI to generate endless variations, measure what works in production, and continuously improve outcomes.
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Pricing
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Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
LaunchDarkly Pro Bundle | LaunchDarkly Professional Platform with 300K CMAU and 10M Exp events | $44,100.00 |
Dimensions summary
You buy one contract bundle: the LaunchDarkly Pro Bundle. It is a fixed package priced as a single unit, not a menu of separate options. The bundle includes a set usage allowance of 300K CMAU (client-side monthly active users) and 10M experimentation events. Pricing does not scale per seat or per connection here; you commit to the bundled capacity for the contract term. Because there is one dimension, there are no tiers or add-ons to compare on Marketplace. You pay for the package as defined by its included usage amounts.
Top-of-mind questions for buyers
A CMAU is one unique client-side user or device active in a month. Each distinct end user or device counts once, no matter how many times they connect. The bundle includes up to 300K such users per month as part of its fixed capacity.
Experimentation events tie to A/B and multivariate testing activity across features, models, and prompts. Each tracked experimentation action counts toward the 10M monthly total. The bundle includes this volume as part of the fixed package capacity.
The platform provides runtime control over code and AI agents. You get feature flags, targeting, progressive rollouts, and rollbacks. It also covers experimentation, observability such as logs and traces, and agent controls like prompt and model configuration. All run without redeploying code.
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Support
Vendor support
Support Homepage: https://support.launchdarkly.com/hc/en-us support@launchdarkly.com
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By LaunchDarkly
By Split Software
By Bricks Software
Top
10
In Business Intelligence & Advanced Analytics, Generative AI, Continuous Integration and Continuous Delivery
Top
50
In Agile Lifecycle Management
Top
100
In Testing
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Feature Flags and Progressive Delivery
Industry-leading feature flags with progressive rollouts enabling controlled deployment of code changes across environments
Real-time Runtime Control
Runtime control platform allowing real-time modifications to application behavior, configuration changes, and automatic recovery without redeployment
Production Observability and Experimentation
Real-time observability and experimentation capabilities for monitoring production behavior, measuring impact, and continuously testing variations
AI Agent Behavior Management
AgentControl solution for monitoring, observing, and automatically correcting AI agent behavior in production including prompt and model configuration adjustments
Automatic Rollback and Recovery
Automatic rollback mechanisms and self-healing capabilities to limit exposure and mitigate issues based on actual production impact
Feature Flagging and Deployment Control
Ability to set up feature flags and safely deploy to production, controlling which users see which features and when with zero downtime deployment capability.
Experimentation and A/B Testing
Support for A/B testing, canary releases, dark launches, and targeted rollouts to enable data-driven experimentation and feature validation.
Contextual Data Integration
Connection of feature flags to contextual customer data through Amazon S3 integration to enable seamless metric calculation and feature impact analysis.
Release Risk Mitigation
Reduction of cycle times and release risk through continuous integration/continuous delivery workflows and mean time to recovery optimization.
High-Volume Data Processing
Capability to serve feature flags to high-volume distributed systems, supporting more than 6 billion devices with reliable feature delivery at scale.
Feature Flag Management
Open-source feature flag platform enabling controlled feature releases and rollouts to manage deployment risk
Data Governance and Compliance Controls
Market-leading data governance, security, and compliance controls designed for enterprise-grade requirements including FedRamp and air-gapped deployment scenarios
Deployment Flexibility
Support for multiple deployment options including cloud-hosted private instances and self-hosted solutions
Developer Tools and Workflow Integration
Developer-focused tools for testing and deploying features to production environments with streamlined release process capabilities
Standard contract
No
No
No
Customer reviews
David V.
Useful Audit Trail and Reliable Performance
Reviewed on Oct 11, 2026
Review provided by G2
What do you like best about the product?
The audit trail is really useful whenever someone asks why a feature was enabled or when a change went live. Instead of piecing together the full timeline from scattered messages, I can quickly see what happened and when. I also appreciate that it gives me the breathing room to spot unexpected changes before they reach everyone, while still providing complete support and consistent performance.
What do you dislike about the product?
Sometimes I need more context about a flag’s business purpose. The technical names alone don’t tell me which financial reports or downstream metrics could be affected, and the UI could do a better job of surfacing that information so it’s easier to find when I need it.
What problems is the product solving and how is that benefiting you?
During month-end analysis, I struggled to tell whether a discrepancy was coming from the data itself or from a newly introduced change. Reviewing flag configurations alongside our data integrations helped narrow down the root cause, and the AI-assisted analysis let us investigate much faster without wasting hours digging through unrelated reports.
Computer Software
Feature Flags That Make Releases Safer, Faster, and More Controlled
Reviewed on Oct 09, 2026
Review provided by G2
What do you like best about the product?
I like being able to release code and switch features on separately, because it gives us more control over when changes actually reach users. For example, we can decide whether a specific user or organisation should receive a different value.
Gradual rollouts also help us introduce features to a small group first, gather feedback, and build confidence before moving to a wider release.
Being able to switch a feature off quickly is particularly useful if something goes wrong, since it reduces the pressure to rush out another deployment just to undo a change.
Finally, having feature flags in one place makes it easier to see what’s enabled and to manage changes consistently across environments.
Gradual rollouts also help us introduce features to a small group first, gather feedback, and build confidence before moving to a wider release.
Being able to switch a feature off quickly is particularly useful if something goes wrong, since it reduces the pressure to rush out another deployment just to undo a change.
Finally, having feature flags in one place makes it easier to see what’s enabled and to manage changes consistently across environments.
What do you dislike about the product?
I’d like to be able to create rule templates. For example, if I create a handful of flags to gate new features, I want to set up one reusable rule that enables them for my test user/shard/whatever, and then apply that same rule to all of those flags at the same time.
What problems is the product solving and how is that benefiting you?
Being able to move very fast in an AI driven environment and still safely gate changes and test/iterate without affecting end users.
Shivam S.
Turn features on and off in seconds, with no redeploy
Reviewed on Oct 09, 2026
Review provided by G2
What do you like best about the product?
LaunchDarkly gives our team the confidence to release often while keeping production stable. Staggered rollouts managed by LD flags help us control and mitigate any unwanted production downtimes. Simple to use and easy to navigate UI makes it easy to adapt. LaunchDarkly MCP and Slack automations is also an added advantage.
What do you dislike about the product?
There is Targeting rules can be confusing when many services share a flag. It’s hard to see why a flag gave a certain value. Old flags pile up - there should be feature to automate archival flags when not in use. The price can go up quickly as the team and usage grow.
What problems is the product solving and how is that benefiting you?
We release more often and with more confidence. Fewer customers are affected when something goes wrong. Incidents are fixed faster because turning a flag off is quick and safe. Product and support teams can control feature access without asking engineers for a new release.
Dmytro M.
Flexible, Low-Complexity Feature Flags and Rollouts That Just Work
Reviewed on Oct 08, 2026
Review provided by G2
What do you like best about the product?
Great, flexible, low cognitive complexity to understand tool for dynamic config, feature flags and rollout
What do you dislike about the product?
Nothing really from POV, never had a problem related to core functionality
What problems is the product solving and how is that benefiting you?
Feature flags, rollout features, shared dynamic config for apps can't develop app without these
Anonymous
Intuitive Dashboard, Instant Changes, Perfect for Feature Handling
Reviewed on Oct 06, 2026
Review provided by G2
What do you like best about the product?
I like that the LaunchDarkly dashboard is easy to use and that changes propagate immediately. The feature flags are also highly valuable as they allow easy setup and enable team members to independently check and toggle configurations. It was quick to get used to, taking only half a day for setup and learning segments.
What do you dislike about the product?
I'm not sure if there is a guide for mobile Flutter setup, but that would be great.
What problems is the product solving and how is that benefiting you?
LaunchDarkly lets me serve my apps to different customers easily, and the tool's easy setup and intuitive dashboard mean quick changes anyone can manage, thanks to the powerful feature flags.