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

Rob Zuber

Principal Software Engineer

Discover how to deploy code with less risk

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Iterate rapidly

A/B test new ideas quickly; nix the bad ones and deliver the good ones to users with ease.

Predict  release impact

Measure how new features affect system performance once they are deployed to production.

Ship the winners

Serve the winning variation immediately by updating the feature flag targeting rule to 100%.

Empower every team

Let anyone set up, monitor, and visualize experiments with little intervention from the data science team.

Fuel product decisions with real-time data

Continuously improve your software by gathering data on the impact of new features.

Development

Measure the impact of code changes on application response times and error rates.

Operations

Track the rise in infrastructure costs after releasing new functionality or updating your architecture.

Product & Marketing

Test multiple variations of front-end features and see how they affect engagement and conversions.

The first experimentation tool for the entire team

Bridge the divide between developers and the business by integrating experiments with your normal software delivery process.

Unite feature flags and experiments

Flag + metrics = experiment

By tying metrics to a feature flag, you’re able to measure  things like revenue impact, page load time, and server cost.

Seamless development workflows

Create a frictionless developer experience by weaving experimentation into your existing software delivery workflows.

Full-stack learning

Run experiments on anything in your stack, from simple front-end features to complex back-end changes to infrastructure.

Conversion & numeric baselines

Set a baseline or control variation and measure how far your new feature deviates from that baseline value.

Test. Ship. Repeat.

Experimentation.

PLATFORM

Run experiments and manage releases in one place.

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Multivariate flags and experiments

Custom metrics

Targeting rules

Experiment results

Real-time updates

Test and evaluate multiple variants in each experiment.

Define and measure the variables that matter most to your business.

Define specific users or groups to include in an experiment.

Give teams instant access to the answers they need, so they can make good decisions.

Roll out a feature to 100% of users upon identifying a winning feature variation.

Feature management and experimentation

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.

©2021 Catamorphic Co

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