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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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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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
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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
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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
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Customer reviews
Computer Software
Feature Flags That Boost Release Velocity and Enable Confident Rollouts
Reviewed on Jul 16, 2026
Review provided by G2
What do you like best about the product?
The feature flag capabilities have been incredibly valuable for our team. They solve a wide range of business use cases by allowing us to control feature rollouts with precision, without requiring new deployments for every change. This has significantly improved our release velocity, enabling us to ship code more frequently while minimizing risk.
One of the biggest advantages is the ability to gradually roll out new features to specific user segments, perform A/B testing, and quickly disable problematic features if issues arise in production. This has given our team much greater confidence in releasing changes and experimenting with new ideas.
Overall, feature flags have streamlined our development and deployment workflow, reduced operational risk, and made it much easier to validate new features with real users before a full-scale rollout. They have become an essential part of our release strategy, helping us deliver value to customers faster while maintaining stability and reliability.
One of the biggest advantages is the ability to gradually roll out new features to specific user segments, perform A/B testing, and quickly disable problematic features if issues arise in production. This has given our team much greater confidence in releasing changes and experimenting with new ideas.
Overall, feature flags have streamlined our development and deployment workflow, reduced operational risk, and made it much easier to validate new features with real users before a full-scale rollout. They have become an essential part of our release strategy, helping us deliver value to customers faster while maintaining stability and reliability.
What do you dislike about the product?
Sometimes the support is not great especially during the times when the platform is down and offlate we are seeing a lot of cases where our company are seeing unreliable results
What problems is the product solving and how is that benefiting you?
LaunchDarkly has solved several challenges that we previously faced around feature releases, testing, and risk management. Before adopting feature flags, releasing new functionality often meant coupling deployments directly with feature launches, making it difficult to test changes in production or quickly respond if something went wrong.
With LaunchDarkly, we can decouple deployments from feature releases, giving us much greater control over how and when new functionality is exposed to users. We can gradually roll out features to specific customer segments, perform A/B testing, validate new functionality with a limited audience, and instantly disable or roll back a feature without requiring a new deployment. This has significantly reduced the operational risk associated with releases.
The platform has also increased our development and release velocity. Our engineering teams can merge and deploy code more frequently without waiting for a coordinated product launch, while product and business teams have the flexibility to control feature availability independently. This has streamlined collaboration across teams and shortened the time it takes to deliver value to customers.
Overall, LaunchDarkly has become a key part of our release strategy. It has improved the reliability of our deployments, enabled faster experimentation and data-driven decision-making, reduced the impact of potential production issues, and allowed us to deliver new features to customers with greater confidence and agility.
With LaunchDarkly, we can decouple deployments from feature releases, giving us much greater control over how and when new functionality is exposed to users. We can gradually roll out features to specific customer segments, perform A/B testing, validate new functionality with a limited audience, and instantly disable or roll back a feature without requiring a new deployment. This has significantly reduced the operational risk associated with releases.
The platform has also increased our development and release velocity. Our engineering teams can merge and deploy code more frequently without waiting for a coordinated product launch, while product and business teams have the flexibility to control feature availability independently. This has streamlined collaboration across teams and shortened the time it takes to deliver value to customers.
Overall, LaunchDarkly has become a key part of our release strategy. It has improved the reliability of our deployments, enabled faster experimentation and data-driven decision-making, reduced the impact of potential production issues, and allowed us to deliver new features to customers with greater confidence and agility.
Banking
Remote control for Software Feature
Reviewed on Jul 15, 2026
Review provided by G2
What do you like best about the product?
We have a very flexible way to implement the features.
What do you dislike about the product?
It’s hard to manage when there are a lot of flags.
What problems is the product solving and how is that benefiting you?
The biggest benefit for us is having a feature flag outside of the application.
Computer Software
Clean, Easy-to-Use UI with Smooth Approvals
Reviewed on Jul 14, 2026
Review provided by G2
What do you like best about the product?
easy understand UI, easy approve button, and clean surface
What do you dislike about the product?
last time the service of LD went down, my coworkers and I blocked for some time
What problems is the product solving and how is that benefiting you?
easy func/rollout capability, no need to rebuild code
Dheeraj V.
Effortless Feature Rollouts with LaunchDarkly
Reviewed on Jul 14, 2026
Review provided by G2
What do you like best about the product?
I use LaunchDarkly for safeguarding new features and cohort-based rollouts. It makes rolling out features super easy, and I appreciate that the UI is very clean and user-friendly. The bulk updates via JSON make it much more customizable, and I don't have to manage environments in helm files or local files, which would later require code merges and deployments. LaunchDarkly provides a make checker flow that makes it easy for me to add my counterparts in the loop when releasing features for a new cohort. The other person can approve and apply the changes I raised for review. It was really easy and quick to set up too. I definitely find it way better than the Harness feature flag service.
What do you dislike about the product?
One thing I think can be improved is the UI placement for adding a new rule. It does take some time to understand how to add a new rule. I think if an AI agent were there to create rules or update the flags, it would be the best, as I could pair up with an LD agent to create the rules and send them to me for approval. Makes life a whole lot easier.
What problems is the product solving and how is that benefiting you?
I use LaunchDarkly for safeguarding new features and cohort-based rollouts. It makes feature management simple, with an easy UI and customizable bulk updates. I avoid managing environments in helm or local files. Approvals and changes are streamlined, improving feature release coordination.
Dakota P.
Game-changer for real-time troubleshooting, with fantastic filtering capabilities!
Reviewed on Jul 13, 2026
Review provided by G2
What do you like best about the product?
The filtering options in LaunchDarkly session replay are top-tier. With so many granular filters available, cutting through the noise and finding specific user sessions takes virtually no time
What do you dislike about the product?
The session filtering can occasionally yield false negatives. When narrowing down by a single parameter such as 'URL' or 'exit page', it sometimes returns no results, even for sessions I know took place.
What problems is the product solving and how is that benefiting you?
It has dramatically sped up our root-cause analysis. With live session tracking and clear log visibility, we can quickly isolate errors, understand the impact on users, and push fixes in real time, rather than guessing what went wrong.