We've been able to roll out new features at a pace that would've been unheard of a couple of years ago.
Michael McKay
Principal Software Engineer
A/B test new ideas quickly; nix the bad ones and deliver the good ones to users with ease.
Measure how new features affect system performance once they are deployed to production.
Serve the winning variation immediately by updating the feature flag targeting rule to 100%.
Let anyone set up, monitor, and visualize experiments with little intervention from the data science team.
Continuously improve your software by gathering data on the impact of new features.
Measure the impact of code changes on application response times and error rates.
Track the rise in infrastructure costs after releasing new functionality or updating your architecture.
Test multiple variations of front-end features and see how they affect engagement and conversions.
Bridge the divide between developers and the business by integrating experiments with your normal software delivery process.
By tying metrics to a feature flag, you’re able to measure things like revenue impact, page load time, and server cost.
Create a frictionless developer experience by weaving experimentation into your existing software delivery workflows.
Run experiments on anything in your stack, from simple front-end features to complex back-end changes to infrastructure.
Set a baseline or control variation and measure how far your new feature deviates from that baseline value.
LaunchDarkly lets you run sophisticated A/B/n tests as you roll out a feature.
LaunchDarkly empowers all teams to deliver and control their software.
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