Manage Feature Flags, Measure What Matters

Release with feature flags connected to critical impact data, and always know whether your software changes are making things better or worse.

Trusted by the world’s most innovative software teams

Release. Monitor. Experiment.

This is more than a toggle. It’s a shift toward safer, faster rollout practices.

Feature Management

Ship 50x faster with less friction and fear

Feature Flags

Speed up software delivery by deploying code in production without releasing it to customers. Then, safely test, target, and turn features on/off with effortless controls.

Flexible Targeting Rules

Whether you’re gradually rolling out features to a defined set of customers, or conducting beta tests to a random sample of users, Harness lets you customize who sees what and when.

Dynamic Configurations

Control components of your software features without deploying new code. This empowers entire teams to iterate in real-time with little risk of breaking things.

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Release Monitoring

Automate issue detection, triage in under 1 minute.

Auto-Capture Performance Metrics

The moment you start a gradual release with a feature flag, out-of-the-box metrics automatically track performance issues and errors caused by each flag.

Detect the Impact of Progressive Delivery

Catch release issues most monitoring tools miss. Harness quickly detects the impact of each individual feature, even when multiple features are rolled out to small fractions of users at the same time.

Instant Alerts & Actions

As soon as a gradual release causes an impact on system performance or user behavior, you'll be alerted to take action.

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Experimentation

Test, learn, and iterate efficiently to deliver more impactful products with less toil.

A/B Tests and Beyond

Once you’re measuring guardrail metrics for safer releases, experimentation infrastructure is already in place. Easily run A/B tests with the same self-service tool. No additional resources or complexity required.

Centralize Experiments to a Single Source of Truth

Eliminate fragmented islands of experimentation with competing methodologies and levels of rigor. Replace them with a scalable and proven solution built for engineering teams.

Make Bold Bets Safely

Reduce the risk and impact of a “failing” experiment. Establish the psychological safety your teams need to confidently make bold bets.

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Harness + Split Are Better Together

As Split becomes a native module of the Harness platform, it will inherit Harness Feature Flag capabilities as well. It all adds up to the future of feature management.

View Harness Feature Flag Features

Policies

Pipeline Integration

Flag Removal

Dynamic Segments

Built for the Enterprise

Architected for speed, security, and resiliency

Scale effortlessly to millions of users without performance loss. Get fast, feature flag evaluations made locally inside your app without sending private user data to the cloud.

Designed for Developers

We speak your language

Harness is compatible with the toolkits teams use every day.

Client-side SDKs

Android SDK
Angular utilities
Browser SDK
Flutter plugin
iOS SDK
JavaScript SDK`
React & React
Native SDKs
Redux SDK

Server-side SDKs

Go SDK
Java SDK
.NET SDK
Node.js SDK
PHP SDK
PHP Thin Client SDK
Python SDK
Ruby SDK

We suit your stack

Ingest events from customer data, performance monitoring, and error tracking systems to power alerts and experiments. Import data from Google Analytics, mParticle, Segment, Sentry. Export data to Datadog, Jira, New Relic, Sumo Logic.

Experian

“This provides so much more than just a toolset change. You know, It sounds simple, feature toggles, but it’s transformative in nature. It’s transformative for the teams in terms of the culture we adopt.”

Mirza Baig, Senior VP of Management
SkillShare

“Split makes it possible to really understand how our users respond to the changes we make. Now it’s easy to know the best change for our users and how we can help them satisfy their creative journey.”

Jean Steiner, Ph.D., VP of Data Science
Adobe Workfront

“Previously, we'd see a 20%-40% increase  in support cases, issues & questions during the first 2 weeks of a code release. With Split, that's been basically minimized to no incidents. Support costs have been drastically reduced.”

Engineering Manager, Adobe Workfront
Speedway Motors

“People would quit if we stopped using Split. The psychological safety comes up in annual reviews.”

Andrew Boellstorff, Director of Digital Product & Technology
Feature Management & Experimentation