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    LaunchDarkly

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    Deployed on AWS
    Free Trial
    AWS Free Tier
    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

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    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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    Deployed on AWS
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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.

    12-month contract (1)

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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

    Vendor refund policy

    All fees are non-cancellable and non-refundable except as required by law.

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    Usage information

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    Delivery details

    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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    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.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In Business Intelligence & Advanced Analytics, Generative AI, Continuous Integration and Continuous Delivery
    Top
    50
    In Agile Lifecycle Management
    Top
    100
    In Testing

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    4 reviews
    Insufficient data
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    Mixed reviews
    Negative reviews

    Overview

     Info
    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

    Contract

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    Standard contract
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    Customer reviews

    Ratings and reviews

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    4.5
    828 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    69%
    28%
    2%
    1%
    0%
    5 AWS reviews
    |
    823 external reviews
    External reviews are from G2  and PeerSpot .
    Damián Y.

    Safe and fast progressive deployments with LaunchDarkly

    Reviewed on Aug 11, 2026
    Review provided by G2
    What do you like best about the product?
    What I like most about LaunchDarkly is that it allows separating the deployment from the release of a feature. We can publish code and enable it gradually by users, segments, or percentages, and also disable it immediately if a problem arises. Its interface is clear, the SDKs and integrations with CI/CD processes facilitate implementation, and the performance is stable even in progressive deployments. This reduces risk, avoids complete rollbacks, and accelerates delivery, generating a good return on investment. The documentation and initial support help overcome the learning curve. I also value the intelligent segmentation and A/B testing, because they allow making decisions based on real results.
    What do you dislike about the product?
    What I like the least is that the interface can become complex when managing many flags, especially because obsolete ones accumulate if there is no cleanup process. The initial setup also requires expertise, and some integrations or SDKs offer different levels of logging and diagnostics. Although performance is usually stable, relying on an external service requires designing backup mechanisms in case of connectivity issues. The price increases rapidly depending on usage, which can affect ROI in large organizations. I would also improve the integrated analytics by incorporating intelligent recommendations to detect unused flags, risks, and optimization opportunities. A more practical onboarding guide would help reduce the learning curve.
    What problems is the product solving and how is that benefiting you?
    Before, each release depended on a new deployment, and any failure could force us to do a complete rollback. With LaunchDarkly, on the other hand, we can release the code with the functionality turned off, validate it first with internal users, and then enable it progressively by segments. If a problem arises, we disable it in seconds, without needing to restart the application. This reduces interruptions, speeds up deliveries, and decreases operational work, which translates into a better ROI. Additionally, the integrations with CI/CD and its SDKs help automate the flow, while the interface, documentation, and support make management easier. Finally, A/B testing and segmentation allow us to evaluate real results before extending a feature to all users.
    Information Technology and Services

    Easy Feature Flag Management with a Clear, User-Friendly Interface

    Reviewed on Aug 11, 2026
    Review provided by G2
    What do you like best about the product?
    Easy to use, very clear how to find and selectively activate feature flags.
    What do you dislike about the product?
    No major issues come to mind. I am able to do the work I need to do in it.
    What problems is the product solving and how is that benefiting you?
    It's helping me selectively activate features in environments for customers.
    Anonymous

    Effortless Feature Management with LaunchDarkly

    Reviewed on Aug 11, 2026
    Review provided by G2
    What do you like best about the product?
    I really like the UI interface of LaunchDarkly, especially the dark mode and the cool contrast between colors. It's very visible and apparent when switching from staging to production to beta. I appreciate how easy it is to toggle features on and off, even when something is live in production. The API is very easy to configure, making it simple to add new flags or segments. The ease of access stands out as well, allowing people who are not very tech-savvy, like designers and ML folks, to use it seamlessly.
    What do you dislike about the product?
    I find it a bit hard to work with the API access on LaunchDarkly. I would prefer if it were easier to work off with my agent and let Claude handle most of the toggling and adding segments. The ease of accessing the API could be improved.
    What problems is the product solving and how is that benefiting you?
    LaunchDarkly helps me segregate users and enable features easily with toggles. The UI is intuitive, making it simple for non-tech savvy users, while the API helps in managing flags and segments efficiently.
    reviewer2886828

    Feature flags have enabled confident rollouts and faster testing across complex workflows

    Reviewed on Aug 11, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I primarily use LaunchDarkly for rollouts, having flags, and putting my feature and code behind the flags.

    I have multiple codes that I need to organize in different branches, and it is better to put those behind different flags so we can turn them on and off and test them in required environments.

    I work with Java SDKs and Go SDKs to integrate LaunchDarkly, which really helps when dealing with a complex workflow and allows me to turn off a flag for a feature if it is not working well.

    With LaunchDarkly, we are using a lot of AI to ship our bulk of code, which helps us keep new changes behind the flags until fully tested, enhancing our day-to-day usage.

    We integrate monitoring tools like OpenSearch and Grafana with LaunchDarkly; these integrations are sufficient for our needs, and we use a common library built for across the organization to utilize LaunchDarkly flags and features.

    What is most valuable?

    I find LaunchDarkly very easy to use, with flags that work really well; it is very convenient and fast to toggle features on and off, and its integrations with different platforms and libraries are really good, making it overall perfect.

    LaunchDarkly has positively impacted our organization by allowing us to confidently ship products across different environments, knowing we can easily turn off any feature that faces issues.

    LaunchDarkly stands out due to its ease of use, deployability across environments, and the ability to easily toggle features, which are all beneficial qualities.

    What needs improvement?

    I did not particularly like the rule area; there are many things to add into the rule to enable it, and I think we could make it easier or more customizable at the organizational level.

    If the rules could be a bit more user-friendly, it would be helpful.

    For how long have I used the solution?

    I have been using LaunchDarkly for five to six months.

    What do I think about the stability of the solution?

    LaunchDarkly is stable.

    What do I think about the scalability of the solution?

    SailPoint uses LaunchDarkly across a lot of employees, and we do not face many problems regarding scalability, so I think it is good and scalable.

    How are customer service and support?

    I have not reached out to customer support for any reason, so I am not much aware of it.

    Which solution did I use previously and why did I switch?

    Prior to LaunchDarkly, we used to organize our code via a Git branching strategy, which had its limitations and risks, making it not environment-friendly or customizable, issues that LaunchDarkly has helped solve.

    I mentioned earlier how we previously used Git branching for multiple feature rollouts, which was complex and not very environment-friendly, making LaunchDarkly a better solution.

    What was our ROI?

    I cannot speak on money saved, but time saved is evident because we can ship products faster with more confidence, although I do not have metrics to quantify it.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Alejandro Emmanuel C.

    Easy Feature Flag Management and Safe Rollouts

    Reviewed on Aug 11, 2026
    Review provided by G2
    What do you like best about the product?
    I like how easy it is to manage feature flags and control rollouts safely.
    What do you dislike about the product?
    The UI can feel a bit overwhelming when managing many flags and environments.
    What problems is the product solving and how is that benefiting you?
    LaunchDarkly solves the challenge of safely releasing features and managing them across environments. It gives me better control over rollouts, reduces deployment risk, and lets me enable or disable features without redeploying.
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