
Overview

Product video
Unlock the full potential of your AWS-based applications with LaunchDarkly, the industry-leading feature management platform. Streamline your software development lifecycle, de-risk migrations, and deliver exceptional user experiences through advanced feature management, experimentation, and user targeting capabilities.
LaunchDarkly helps the most innovative companies, including 25% of the Fortune 500, to release software 9X faster, reduce service outages by 97%, and ensure over 99% of users get a bug-free software experience.
Supercharge your development agility, reduce time-to-market, and elevate your user experience strategy with LaunchDarkly.
Safely ship, test, and optimize AI experiences in production - without code redeploys. To optimize performance and business impact, teams can run experiments or A/B tests on different prompts, parameters, or models live in production and use data to make product decisions - no code changes required. This has reduced the time spent on managing these configurations by 20-30%.
With the LaunchDarkly targeting engine, you can customize AI applications to different user groups based on any attribute, leading to higher customer satisfaction.
Explore the future of feature management - get started today!
For custom pricing, EULA, or a private offer, please contact aws-alliance@launchdarkly.com
Highlights
- LaunchDarkly feature flags are cross-platform supported, multi-lingual and updates are delivered consistently across all your services in real-time.
- Test your best ideas in production on real users, measure the impact and gain confidence you're making the right changes.
- AI Configs gives teams runtime control over prompts and models. Safely ship, test, and optimize AI experiences in production - without code redeployments.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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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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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 Homepage: https://support.launchdarkly.com/hc/en-us support@launchdarkly.com
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Customer reviews
Easy Setup and a Straightforward Learning Curve
Feature flags have enabled safe gradual rollouts and now reduce risk and save engineering time
What is our primary use case?
My main use case for LaunchDarkly is feature flagging and gradual rollouts. Instead of releasing a new feature to all users at once, we can first enable it for internal users, then for a small group of customers, and only later roll it out to everyone.
When we released a new feature, we first turned it on only for internal users. After that, we enabled it for a small percentage of real customers, which helped us test that feature in production without taking too much risk. If something went wrong, we could simply turn the flag off in LaunchDarkly without doing a full rollback.
We use flags for gradual deploying and testing, then rolling out. For example, we enabled a feature, tested it in a specific environment, then turned off this flag.
What is most valuable?
The best feature LaunchDarkly offers is the flag that allows rollouts.
What I appreciate about LaunchDarkly is that the setup was easy, it had a clean user experience, and the control allowed us to manage the features without deploying them to everyone. We could deploy it gradually and then roll out easily. I particularly value the ability to click to turn the feature on and off.
LaunchDarkly has positively impacted my organization by reducing the risk of releasing new features because we did not have to expose everything to all users at the same time. It eventually resulted in faster releases and more confidence. It also saved engineering time because in some cases, we did not need to do a rollback or hot fixes; we could simply disable the feature flag. Additionally, it reduced the QA time since they could only test a specific area.
What needs improvement?
LaunchDarkly can be improved by managing old flags. We have an issue with old flags; it became very messy very fast and we need to be very disciplined about managing these flags. I also heard from the manager that it was very expensive when the usage grew.
Perhaps LaunchDarkly could mark old flags somehow or add a tag to these flags when they are not in use or have not been used for a long time. We found ourselves after a short period of time having too many flags.
For how long have I used the solution?
I have been working in my current field for above ten years.
Which solution did I use previously and why did I switch?
I used LaunchDarkly in my previous company for several months.
What other advice do I have?
Overall, LaunchDarkly saved our engineering time and helped us manage features very smoothly, allowing us to gradually deploy and roll out.
My advice for others looking into using LaunchDarkly is to manage the flags carefully, as it can become messy very fast.
I believe LaunchDarkly is a very useful tool for teams wanting to release features quickly and safely; it gives a lot of control and helps reduce the risk around production releases. I would rate this product an eight out of ten.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Clean, Intuitive Dashboard with Powerful Targeting and Fast Flag Propagation
Pricing feels acceptable for what you get. I haven’t fully explored the AI features yet, so I’m holding off on judging those for now. Overall, it’s a strong choice for teams that ship continuously, but budget-conscious orgs or teams with a low release cadence should compare alternatives first.
It’s also important to point out a major issue with segment integration with the backend system: there’s a bug where it can’t retrieve the correct value while segment targeting is being processed. Although we tried to contact LaunchDarkly support, the problem seems to remain unresolved.