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DevOps

Harness

By Harness Inc.

IntermediatePlatform5.8K learners

Harness is a software delivery platform that combines continuous integration, continuous delivery, feature flag management, cloud cost management, and related DevOps capabilities into a single product suite.

Definition

Harness is a software delivery platform that combines continuous integration, continuous delivery, feature flag management, cloud cost management, and related DevOps capabilities into a single product suite.

Overview

Harness was founded to reduce the engineering effort required to build and maintain in-house deployment pipelines, offering a managed platform that spans the software delivery lifecycle rather than a single point tool. Its CI module builds and tests code, its CD module automates deployments using patterns such as canary deployment, blue-green deployment, and rolling deployment, and it layers in automated verification that can detect deployment problems and trigger rollbacks. Beyond core CI/CD, Harness expanded into adjacent areas including feature flag management, cloud cost optimization, chaos engineering, and software supply chain security, aiming to be a single platform covering much of what teams previously assembled from separate tools like Jenkins, a feature-flag service, and a cost-monitoring product. It competes with platforms such as GitLab, CircleCI, and Octopus Deploy depending on which capability is being compared.

Key Features

  • Unified CI and CD pipelines with built-in deployment strategies
  • Automated deployment verification and rollback on detected failures
  • Native feature flag management for progressive feature rollout
  • Cloud cost management and optimization tooling
  • Chaos engineering capabilities for resilience testing
  • Software supply chain security and artifact provenance features
  • Policy-as-code governance across pipelines and environments

Use Cases

Consolidating CI, CD, and feature flags into one delivery platform
Running canary or blue-green deployments with automated rollback
Gradually rolling out new features behind flags without redeploying
Monitoring and reducing cloud infrastructure spend
Injecting controlled failures to test system resilience

Frequently Asked Questions