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 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 |
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All fees are non-cancellable and non-refundable except as required by law.
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Software as a Service (SaaS)
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
AWS infrastructure support
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 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
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Customer reviews
Internet
Straightforward Feature Flag Management for Faster, Safer Releases
Reviewed on Aug 04, 2026
Review provided by G2
What do you like best about the product?
This tool makes feature flag management incredibly straightforward, letting teams release, test, and roll back features without redeploying code. With real-time control over flags, progressive rollouts, experimentation capabilities, and robust SDK support, it helps reduce deployment risk while enabling faster, more confident software releases.
What do you dislike about the product?
The platform comes with a learning curve for teams that are new to feature flagging, particularly when setting up advanced targeting rules and managing multiple environments. In addition, some reporting and experimentation capabilities are limited to higher-tier plans, and the pricing can get expensive for organizations that need to manage a large number of feature flags.
What problems is the product solving and how is that benefiting you?
It separates feature releases from code deployments, so teams can test new functionality safely, roll it out gradually, and instantly disable problematic features without needing emergency deployments. This approach lowers release risk, supports more frequent deployments, speeds up product experimentation, and helps engineering teams ship new features with greater confidence and stability.
Anjali T.
Safe Feature Releases with Instant Rollback
Reviewed on Aug 04, 2026
Review provided by G2
What do you like best about the product?
Release features without exposing them
Instant rollback (Kill Switch)
Instant rollback (Kill Switch)
What do you dislike about the product?
high cost
feature flag technical debt
increase testing efforta
feature flag technical debt
increase testing efforta
What problems is the product solving and how is that benefiting you?
LaunchDarkly is a feature flag management platform that separates deployment from feature release.
Yasannia K.
Deploy Safer and Faster with LaunchDarkly Feature Releases
Reviewed on Aug 04, 2026
Review provided by G2
What do you like best about the product?
*Deploy safer + faster*
- *Separate code deploys from releases*: Ship code to production multiple times a day, but only turn features on when product is ready. No more “big bang” releases.
- *Separate code deploys from releases*: Ship code to production multiple times a day, but only turn features on when product is ready. No more “big bang” releases.
What do you dislike about the product?
I don’t dislike anything about launchdarkly
What problems is the product solving and how is that benefiting you?
The kill switch instantly turns off a problematic feature without a code roll back
Adam S.
Effortless Feature Flag Management with Minor Downtime Issues
Reviewed on Aug 04, 2026
Review provided by G2
What do you like best about the product?
I appreciate the ease of variation configuration in LaunchDarkly, which allows me to use a lot of data from the invocation point to decide on the variation. This makes it easy to test or guard specific logic changes in the code depending on the service, client, or percentage. I find it valuable for gradual rollouts and implementing kill switches without the need for code deployment, as well as testing different approaches without constantly having to change the code.
What do you dislike about the product?
We recently had a downtime and it was not very clear when it ended. It also didn't start working without resetting the services. Although it was communicated, we would like a constant push for as high uptime as possible.
What problems is the product solving and how is that benefiting you?
I use LaunchDarkly for feature flags, allowing gradual rollouts and testing different approaches without redeploying code. It offers kill switches and client-based variability, making it easy to test or safeguard logic changes.
Parth P.
Great Environment Separation and Progressive Deployments
Reviewed on Aug 04, 2026
Review provided by G2
What do you like best about the product?
I like environment saperation and progressive deployment
What do you dislike about the product?
the complexity and somewhat UI is little hard to navigate
What problems is the product solving and how is that benefiting you?
it provides each developer with saperate environement so they can build their own stuff