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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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
Support Homepage: https://support.launchdarkly.com/hc/en-us support@launchdarkly.com
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By LaunchDarkly
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10
In Business Intelligence & Advanced Analytics, Generative AI, Continuous Integration and Continuous Delivery
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In Agile Lifecycle Management
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In Testing
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Feature Flag Management
Industry-leading feature flags enabling runtime control for code and application behavior management
Progressive Deployment and Rollout
Progressive delivery capabilities with automatic rollback functionality for controlled software releases
Real-time Observability and Monitoring
Real-time observability and monitoring of production behavior for AI-generated code and agent performance
AI Agent Control and Governance
Runtime control for AI agents including prompt and model configuration, behavior monitoring, and automatic corrective actions without redeployment
Production Experimentation and Testing
Production testing capabilities with continuous experimentation and measurement of variations to optimize outcomes
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 new features to production environments with streamlined release process capabilities
Standard contract
No
No
No
Customer reviews
Pydi R.
Powerful Feature Flag Enablement with Boolean, Multivariate, Number & JSON Support
Reviewed on Sep 04, 2026
Review provided by G2
What do you like best about the product?
I like feature flag enablement because it supports Boolean values and multivariate flags have more than two variations it can have strong number and json variations.
What do you dislike about the product?
I think during release process we have platform dependency where latency or outages can cause or impact our release
What problems is the product solving and how is that benefiting you?
Right now it's solving control feature rollout deployments
Priya P.
Solid tool that lets you release frontend safer
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
LaunchDarkly's main purpose for me is to toggle new UI features without having to do another deploy. When you want to test a feature with QA or a select group of users before rolling it out to everyone, it's very helpful. Frontend integration is pretty easy and once your flags are created it makes releasing easy.
What do you dislike about the product?
Only negative is that there can easily be too many old flags if your team doesn't keep them cleaned up. Dashboard also has slight learning curve at first.
What problems is the product solving and how is that benefiting you?
LaunchDarkly allows us to release frontend with less risk. We can quickly turn features off/on, test out changes on select users, and not have to deploy anything we don't need to. Allows for more control when releasing new frontend features.
Recommendations to others considering the product:
To improve the user experience, consider implementing a feature to automatically archive old flags after a certain period. Additionally, providing more intuitive onboarding tutorials could help new users navigate the dashboard more efficiently.
Kritika M.
Feature Releases Feel Much Less Risky
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
For me though, the biggest benefit of feature releases is that you can ship code without having to release that feature to everyone at the same time. We’ve used flags in cases where the feature was technically ready but we wanted to test with a smaller percentage of our users. It also comes in handy if something isn’t behaving how you expect in production. With feature flags you can simply turn off the feature without having to do another deployment. We have avoided a few panicked midnight releases because of that.
What do you dislike about the product?
The biggest downside once you start using feature flags a lot is that you have to stay organized. Dead flags can linger longer than they should, especially if noones responsible for cleaning up old flags. Another pitfall I’ve experienced is when targeting rules get more complex than you originally anticipate. Feature flags as a product are awesome, but you have to have some discipline with naming and deleting temporary flags.
What problems is the product solving and how is that benefiting you?
Essentially feature releases remove the risk of releasing new functionality. We can roll out a feature gradually, observe how it behaves, and then increase exposure when we are ready. I don’t worry quite so much about whether a minor issue will cause us to do an emergency rollback, and I can easily test functionality with certain users.
Subham P.
LaunchDarkly helps us better control frontend releases.
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
I appreciate that LaunchDarkly allows us to roll out frontend features gradually, rather than making every change available to all users at once. Feature flags integrate seamlessly into React-based applications, enabling us to easily test UI changes, control access, and instantly roll back if a release has unexpected consequences.
What do you dislike about the product?
However, managing a large number of feature flags can become cumbersome if they aren't named carefully and maintained regularly.
What problems is the product solving and how is that benefiting you?
LaunchDarkly allows us to decouple releases from deployments. We can safely deploy frontend changes, enable them for specific users, monitor their impact, and disable problematic features without needing a redeployment. This helps us minimize release risk and easily experiment with and update our UI.
Recommendations to others considering the product:
To improve the management of feature flags, consider implementing a naming convention and regular maintenance schedule. This will help keep the system organized and efficient.
Sagar L.
LaunchDarkly Streamlines Feature Releases.
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
I really appreciate how LaunchDarkly gives our teams control when we release features. Instead of simply switching a change on for every user at once, we have the option to gradually roll out features to specific test groups or instantly disable them completely if something goes wrong. Feature flags have greatly simplified communication between our developer, support, and operations teams.
What do you dislike about the product?
Feature flags can quickly become unmanageable when multiple teams create them without a naming convention or a strategy for removing them.
What problems is the product solving and how is that benefiting you?
LaunchDarkly reduces release risk by decoupling code deployment from feature releases, allowing you to show new features to select users and respond quickly if a feature needs to be rolled back. Streamline your release process, minimize disruptions for your users, and provide your support team with greater visibility during releases.