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
Free trial
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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Resources
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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
Functionality
Ease of use
Customer service
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Positive reviews
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Negative reviews
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
Customer reviews
Luiz Fernando D.
User-Specific Filters Make Testing Across Dev, Stage, and Prod Easy
Reviewed on Oct 30, 2026
Review provided by G2
What do you like best about the product?
The filters that deliver different values to different users are the best part for me. They make it much easier to test across dev, stage, and prod.
What do you dislike about the product?
I think this might be a bit complicated for someone who is just starting out in this market.
What problems is the product solving and how is that benefiting you?
We use it as our main feature flag tool, to rollout new features, block and unblock them and sometimes to do some customizations for different groups of customers.
Computer Software
Intuitive and Reliable Feature Flagging with LaunchDarkly
Reviewed on Oct 30, 2026
Review provided by G2
What do you like best about the product?
Very intuitive and I understand that it's reliable enough to keep things running without worrying about how our flags evaluate
What do you dislike about the product?
I think LaunchDarkly could work on how they interact with agents, ideally agents should be able to control the flags if they have the perms
What problems is the product solving and how is that benefiting you?
Mostly just feature flagging to ensure features roll out safely + killswitches for more confidence
Ravi P.
LaunchDarkly Makes Feature Releases Safer and More Efficient
Reviewed on Oct 29, 2026
Review provided by G2
What do you like best about the product?
What I like best about LaunchDarkly is its feature flag management, which allows teams to release new features gradually without deploying code again. It makes it easy to test changes with specific users or environments, monitor their impact, and quickly disable a feature if any issues arise. This helps reduce release risks, improve collaboration between development and QA teams, and deliver a smoother user experience. The platform also provides flexibility and better control over the entire feature release process.
What do you dislike about the product?
One downside of LaunchDarkly is that the dashboard can take some time to learn, especially for new users. Managing a large number of feature flags can also become difficult if old or unused flags are not cleaned up regularly. Additionally, the pricing can be expensive as usage grows. A simpler interface and better tools for identifying and archiving unused flags would improve the overall experience.
What problems is the product solving and how is that benefiting you?
LaunchDarkly solves the challenge of releasing new features safely without making them available to all users at once. It allows us to control feature releases, test changes with selected users, and gradually roll out updates. If an issue occurs, we can quickly disable the feature without redeploying the application. This reduces deployment risks, simplifies testing, improves team collaboration, and helps us deliver updates faster while maintaining a better user experience.
Parth K.
A Lifesaver for Incident Rollbacks with an Intuitive UI and Great Slack Integration
Reviewed on Oct 29, 2026
Review provided by G2
What do you like best about the product?
Being able to revert production changes without pushing a code change is a lifesaver when you’re dealing with customer incidents. LaunchDarkly’s Slack integration makes it really easy to do this on the go. Integrating the SDK was also straightforward, and it fit right into our MWAA codebase. On top of that, the overall dashboard UI is intuitive and easy to navigate.
What do you dislike about the product?
Some of the rules can be confusing where for example precedence of rules in UI actually is the way rules get evaluated like the order matters which could be more clearly explained.
What problems is the product solving and how is that benefiting you?
We’re a data team, so any change that alters data can create issues for downstream consumers. In the past, because we run our pipelines daily, if something went wrong we had to revert the change entirely and redeploy. Now we can simply turn the LaunchDarkly flag off, without needing to immediately revert changes in the codebase. This has saved us a lot of time and reduced the complexity involved in rolling back changes.
Information Technology and Services
Seamless Performance and Straightforward Repo Integration
Reviewed on Oct 28, 2026
Review provided by G2
What do you like best about the product?
The ease of switching between features is great. When we build something on the frontend, the integration side is really straightforward once we hook it up to the repo. Performance also feels seamless in both the prod and dev environments. I haven’t really needed help with pricing, AI, or support, but it all seems pretty reasonable.
What do you dislike about the product?
I think the initial setup is quite hasslesome- if there was a way to get easier support or straightforward documentation it would be nicer
What problems is the product solving and how is that benefiting you?
Feature building and shipping