Runtime Configuration
OverviewAI ConfigsConfigsFeature FlagsExperimentation

Feature Management

Ship more features without breaking things

Create, target, and manage feature flags for progressive delivery at enterprise scale. Accelerate releases without harming the integrity of your application or your customer experience.

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Deploy when you want

From weekly deployments to hourly releases

Decouple your release schedule from your deployment pipeline. Ship code whenever you want and turn features on for users only when you are ready.

Start coding now. Wrap individual features in flags and control when they activate without a new code deployment.

Release without risk. Ship code in the off state, turn it on when ready, and turn it off instantly if something goes wrong.

Roll out granularly. Start with internal users, expand to a percentage of traffic, then ramp to everyone when you're confident.

Feature Targeting

Target with power and flexibility

Turn features on/off for specific users or segments based on individual IDs, attributes, dependencies, or percentages.

User & Segment Targeting. Target users by percentage, segment, or attribute. Control exactly who sees each feature variation with fine-grained rules.

Gradual Rollout Control. Gradually target users to limit release blast radius. Start with 1%, monitor metrics, then scale to 10%, 50%, and 100% based on performance data.

Dependency Conditions. Define attribute-based targeting conditions and set dependency conditions between flags for complex, multi-flag rollout strategies.

Dynamic Configuration

Iterate between your deployments

Dynamic Configurations allow controlling software components (text, colors, backend configs, LLM prompts, and ML parameters) without coding, testing, or deploying.

UI Text & Layouts. Update copy, labels, and page layouts instantly from the dashboard. No PR, no deploy, no waiting.

ML & LLM Parameters. Tune model temperature, prompts, and hyperparameters in real time without touching your codebase.

Backend Configurations. Modify rate limits, timeouts, and service configs on the fly. Roll back instantly if behavior changes.

Governance & Collaboration

Enterprise scale collaboration

Schedule releases, obtain approvals, and coordinate teams with Rollout Boards. Built-in governance ensures the right people sign off before any feature ships.

Approval Workflows. Enforce governance with customizable approval chains before feature activation. Require sign-off from engineering, security, or product.

Scheduled Releases. Set automated releases at specific times with necessary approvals obtained upfront. No late-night manual deploys.

Rollout Boards. Enable large teams to coordinate complex releases, streamline tasks, and keep stakeholders informed across every stage.

Progressive rollouts

Start small and scale with confidence

Begin with 1%, monitor real impact, and scale to 100% only when metrics prove success. Measure every rollout against your baseline to stop problems before they spread.

Targeted Beta Testing. Test with internal users or specific segments first. Get feedback before wide release without risk to production.

Gradual Traffic Shifting. Automatically split traffic by percentage. Scale from 5% → 25% → 50% → 100% based on success thresholds.

Instant Kill Switches. One click disables any flag globally in seconds. No deployment, no waiting, no damage spreading to more users.

What our customers say

Teams are releasing features faster with Harness

30%

increase in conversion

30x

faster releases

“We've seen an increase of over 30% in conversion of our mobile usage. Harness FME has been a key part of our overall strategy ... and we're able to innovate faster because of it.”

— Andrew Boellstorff, Director of Digital Product & Technology, Speedway Motors

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FAQ

Frequently asked questions

Harness wraps new code in feature flag statements using open source SDKs. The code is deployed to production but remains hidden behind the flag until you choose to enable it. This means you can ship continuously without exposing unfinished or risky features to users.

Harness supports percentage-based rollouts, user segment targeting, and attribute-based rules. You can target by any user property your application passes to the SDK, define dependency conditions between flags, and combine rules to create precise rollout strategies.

By exposing a new feature to a small percentage of users first, you can observe real-world behavior before full rollout. If metrics degrade or errors spike, you can instantly reduce the rollout percentage or kill the flag entirely, without a code rollback or redeployment.

Harness FME's Feature Flag Cleanup Agent integrates directly into your Harness Pipelines to automatically detect stale flags based on rollout status, targeting rules, and inactivity metrics. Teams can run scheduled scan-only audits to build trust, then trigger cleanup workflows that generate individual draft pull requests for safe human review. By validating new systems through dual reads, verifying they match legacy behavior, and maintaining rollback capability, the agent removes dead code while keeping cleanup gated behind your existing code review process. This pipeline-native approach ensures flag hygiene becomes part of your release workflow rather than manual tech debt sprints.

Harness Feature Management and Experimentation includes role-based access control, approval workflows, integrated pipelines, OPA-style policies, and a full audit trail for every flag change. Teams can require sign-off before flags are enabled in production to enforce change management policies automatically.

Get started with Harness Feature Management

Try Harness Feature Management free. No credit card. No commit. Full access to feature flags, targeting, and dynamic configurations.

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