Harness Team

Harness is named a Leader in The Forrester Wave™: DevOps Platforms, Q2 2025 - recognizing our AI-driven vision to reduce engineering toil in the entire SLDC

Split joins OpenFeature to help define a vendor-neutral standard for feature flagging, advancing progressive delivery across all industries.

Split introduces real-time streaming architecture for faster feature flag updates with improved performance and reduced latency.

Integrate Amplitude cohorts with Split to personalize experiences, increase experimentation velocity, and accelerate impactful results.

Maximize B2B experimentation success by selecting the right traffic type and using tailored metrics to normalize data for statistically valid results.

Learn how to integrate Split feature flags in serverless environments using AWS Lambda, Redis ElastiCache, and the Split Synchronizer.

Use feature flags to dynamically control log levels and sampling, reducing noise and cost while staying ready for production incidents.

Improve engineering cycle time with feature flags that decouple deployment from release, enabling faster, safer delivery at every stage.

Learn how to choose impactful OECs and boost experiment sensitivity with metric filtering and capping in Split.

Discover 7 powerful ways Split uses feature flags to boost velocity, reduce risk, automate ops, and debug faster in production.

Use holdback experiments to validate long-term impact while delivering short-term value to most users.

Use feature flags to optimize conversion rates through personalized experiences, real-time testing, and cross-team collaboration.

Use feature flags to manage database migrations safely, preserving backward compatibility and reducing risk through gradual rollout.

Testing in staging is costly, unreliable, and disconnected from reality—modern teams are shifting confidently to testing in production.

Use Split to safely test and fine-tune AI model parameters in production with feature flags and dynamic configuration for faster, data-driven iteration.

Maximize testing opportunities during peak traffic with strategies that balance speed, risk, and valuable insights for lasting impact.

Split engineers use their own platform to optimize development with real-time experimentation, continuous measurement, and clean code practices.

Walmart Labs uses experimentation to launch impactful features safely, guided by clear “test to learn” and “test to launch” principles.

Learn how to extract, transform, and load user event data into Split to power experimentation and measure real feature impact at scale.

Manage feature flag sprawl by planning expirations, enforcing removals, and reducing technical debt through intentional flag lifecycle practices.

Best practices for building secure and scalable feature flag systems.

Feature data is powering the next wave of software innovation through faster delivery, smarter rollouts, and data-driven experimentation.

Guide to adding event tracking to watchOS apps using Swift and analytics tools.

Avoids type coercion and improves clarity by preferring `undefined` over `null` in JavaScript logic.

Build a RESTful API with Node, Express, and TypeScript, and integrate Split feature flags to safely manage feature rollout and experimentation.