Sold by: LaunchDarkly
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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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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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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
Vikash K.
Safe model rollouts and zero-latency feature flagging for Python & AI services
Reviewed on Sep 14, 2026
Review provided by G2
What do you like best about the product?
As we develop our insurance claims categorization system for adjusters, doing full production releases frequently caused issues. LaunchDarkly's percentage-based progressive rollouts solved this by allowing me to roll out a new prompt or model update to just 5% or 10% of live claim extraction jobs rather than 100% at once. This is incredibly valuable. I also appreciate the in-memory flag evaluation, which ensures zero added network latency to our backend services because the Python SDK evaluates flag rules locally instead of making HTTP requests. The emergency kill switch is a major feature for me too; if an API starts failing, I can toggle the dashboard to instantly revert traffic back to our fallback logic without redeploying code. This makes handling issues seamless.
What do you dislike about the product?
There are a few things that could be improved in LaunchDarkly. Managing the lifecycle of feature flags requires strict engineering discipline. If developers don't clean up and archive old flags after a feature is fully rolled out, the dashboard becomes a confusing mess of stale toggles.
What problems is the product solving and how is that benefiting you?
LaunchDarkly decouples deployment from feature release, letting us safely test and implement experimental logic by toggling features internally. It reduces operational risks by allowing quick model switches, minimizing downtime without redeployment. Progressive rollouts and kill switches make release management smoother and more flexible.
Anonymous
Simple and Light Flag Management Tool
Reviewed on Sep 11, 2026
Review provided by G2
What do you like best about the product?
I find LaunchDarkly to be simple and easy to use, which is great. I also appreciate that it's very lightweight. The feature that allows for managing different environments to turn features on and off is particularly useful. Overall, I liked pretty much all aspects of it.
What do you dislike about the product?
Sometimes can be overwhelmed
What problems is the product solving and how is that benefiting you?
LaunchDarkly helps me with testing and deployment of features using feature flags across different environments, and I find it simple, easy, and lightweight.
Information Technology and Services
Intuitive UI with Room for Improvement in Segmentation
Reviewed on Sep 09, 2026
Review provided by G2
What do you like best about the product?
I really appreciate LaunchDarkly's intuitive user interface, which makes it easy for me as a product manager to quickly perform my tasks. The platform's ability to let me control feature flagging without needing to rely on engineering teams is a big plus. I can efficiently manage feature rollouts, create experiment cohorts, and have the flexibility to control who gets to access specific features. The onboarding process for me was straightforward and easy to understand, allowing me to get up to speed smoothly. It's a great feature launch platform for me.
What do you dislike about the product?
Creating segments in LaunchDarkly is a bit problematic for me. I have to add each customer manually to a segment one by one, which can be quite cumbersome. I would appreciate a more intuitive method for creating customer cohorts, rather than relying on CSV uploads or manual additions. This aspect of the platform could definitely be improved.
What problems is the product solving and how is that benefiting you?
I use LaunchDarkly to manage feature launches by experimenting with cohorts, quickly rolling back features if necessary, and handling feature flags without engineering involvement. It simplifies tracking, control, and environment management.
Prasanth N.
Effortless User Segmentation, Minor Data Challenges
Reviewed on Sep 07, 2026
Review provided by G2
What do you like best about the product?
I like LaunchDarkly for its ease of use, which makes setting up user segmentation for tracking app performance straightforward. It also simplifies cohort breaking as desired. The initial setup was simple, which made getting started quick and easy.
What do you dislike about the product?
I find it confusing to choose between similarly named features like "user - plan type" because there's no clear dictionary or guidance on how the data can be split based on the flag features we have. It would be helpful to have more clarity in this area.
What problems is the product solving and how is that benefiting you?
I find LaunchDarkly makes cohort splitting easier for tracking app performance, which is simple. It's easy to use, but could use a better dictionary for data splitting based on flag features, especially for similarly named features.
Information Technology and Services
Do not recommend from a Sys Admin perspective
Reviewed on Sep 04, 2026
Review provided by G2
What do you like best about the product?
I don't like anything about LD. I manage it; another team uses it. And collectively it's not great.
What do you dislike about the product?
LaunchDarkly has abysmal support and absolutely no strategy for retaining historical data during migrations. The ability to mass manage isn't there. As a system admin, this website is not ideal for management, and I don't recommend it.
What problems is the product solving and how is that benefiting you?
As an admin, they've only created problems for me.