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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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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10
In Business Intelligence & Advanced Analytics, Generative AI, Continuous Integration and Continuous Delivery
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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
Computer Software
Rock-Solid Reliability for Feature Rollouts and Instant Flag Updates
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
It's reliable! We depend heavily on LD for feature rollouts, operational toggles, split testing, etc., across multiple apps, and I've never had to think twice about whether I can count on the system to work.
In terms of LD's specific features, I love its DD integration, its flag history, its SSE approach so client changes propagate instantly, and session replay for investigating user bug reports.
In terms of LD's specific features, I love its DD integration, its flag history, its SSE approach so client changes propagate instantly, and session replay for investigating user bug reports.
What do you dislike about the product?
I haven't been a huge fan of the UI updates in the past year or two. The configurable tag/bubble-looking presentation for selecting which environments are shown atop the flag page is particularly unintuitive.
What problems is the product solving and how is that benefiting you?
Feature rollouts are pretty much frictionless, and we can target the rollouts by so many different attributes. We build entire GTM strategies around this capability.
Secondarily, features like session replay are helping us during incident investigations.
Secondarily, features like session replay are helping us during incident investigations.
Anonymous
Easy Feature Flag Management with Room for Improvement
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
I like how easy it is to manage the UI in LaunchDarkly and that it has approvals built in. I also appreciate the ease of targeting, which is something I value a lot.
What do you dislike about the product?
I just would like better MCP integration. I'd love to easily be able to query the connector via Claude, adjust flags, and search flags. I want Claude to be able to read my code and query the actual rollout status of the flag and what its expected state is for a given user's logs. Just some better tooling in the MCP should make this possible and possibly some skills.
What problems is the product solving and how is that benefiting you?
LaunchDarkly lets me target flags based on app version and user context, with an easy-to-manage UI and built-in approvals. I mostly value the ease of targeting, which helps us manage feature flags more effectively.
Architecture & Planning
Safe, Gradual Releases with Feature Flags and Targeted Rollouts
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
LaunchDarkly makes it easy to separate deployments from releases. Feature flags, targeted rollouts, and quick kill switches reduce release risk and let teams test changes gradually without redeploying.
What do you dislike about the product?
The platform can feel complex during initial setup, especially when organizing flags, environments, and permissions across larger teams
What problems is the product solving and how is that benefiting you?
feature flags, replay session, logs
Computer Software
Seamless A/B Testing Across Segments
Reviewed on Aug 24, 2026
Review provided by G2
What do you like best about the product?
It is seamless to run AB tests on different segments.
What do you dislike about the product?
It takes a bit of an effort to get accustomed to the UI and all the options. I still struggle sometimes to determine my segments.
What problems is the product solving and how is that benefiting you?
Running AB tests and controlling rollout of modules to end customers.
Mohini G.
Better Control Deploying Features .
Reviewed on Aug 24, 2026
Review provided by G2
What do you like best about the product?
LaunchDarkly allows for controlled releases of features. I enjoy having control of features through feature flags. They allow us to turn features on and off and even test features without having to deploy. Rollout controls and targeting options are extremely helpful when deploying features gradually. Also allows for better development and operations collaboration by having more visibility of what features are turned on per environment.
What do you dislike about the product?
The only issue I’ve encountered is when you start to accumulate a lot of feature flags. There would need to be proper policy around reviewing/removing old flags.
What problems is the product solving and how is that benefiting you?
Less risk when releasing features. With LaunchDarkly we have the ability to gradually roll out features. Instead of pushing changes to everyone we can monitor and fix issues along the way. This allows teams to feel confident about deployments, increase stability and get features shipped quicker with better control of production.