Harness

Harness is an AI-powered software delivery platform that provides a comprehensive suite of capabilities for continuous integration, continuous delivery, feature flags, cloud cost management, chaos engineering, internal developer portals, and security testing. Founded in 2017, Harness has built a reputation for making the software delivery process faster, more reliable, and more efficient through intelligent automation and AI assistance.

Harness CD (Continuous Delivery) is the flagship deployment component, providing sophisticated deployment capabilities for Kubernetes, traditional VMs, cloud functions, and managed cloud services. It supports advanced deployment strategies including blue-green, canary, rolling, and traffic-shifting deployments, with automated verification that uses AI to detect anomalies in metrics and logs after each deployment. If a deployment causes performance degradation, Harness automatically rolls back to the previous version without human intervention.

Harness CI (Continuous Integration) provides a cloud-native build system that runs pipelines in ephemeral Kubernetes pods or Docker containers. Pipelines are defined in YAML with a visual editor for users who prefer a no-code approach. The Test Intelligence feature uses AI to analyze code changes and run only the tests that are relevant to the changed code, dramatically reducing test execution time for large test suites.

Feature Flags in Harness provide a full-featured feature management platform for controlling feature rollouts and A/B experiments. Flags can be toggled per user segment, percentage of users, or individual accounts, enabling gradual rollouts, instant rollbacks, and controlled experiments. SDKs are available for all major languages and frameworks.

Harness Cloud Cost Management (CCM) provides visibility and optimization recommendations for cloud spending across AWS, Azure, and Google Cloud. The platform identifies idle resources, right-sizing opportunities, commitment discount opportunities, and budget anomalies, and can automatically enforce cost policies to prevent runaway spending.

Harness Chaos Engineering is a platform for running controlled chaos experiments to identify weaknesses in infrastructure and applications before they cause production incidents. Pre-built experiments cover scenarios such as pod disruption, network latency injection, CPU stress, and database failure, and custom experiments can be defined for specific failure scenarios.

Harness Internal Developer Portal (IDP) is a service catalog and developer experience platform that aggregates service information, documentation, deployment status, and tooling into a single interface for developers. Built on the Backstage framework, the IDP reduces the cognitive overhead of navigating complex microservice environments.

The AI Development Assistant in Harness uses LLMs to generate pipeline configurations, diagnose deployment failures, suggest remediation steps, and provide contextual help throughout the delivery workflow, significantly reducing the expertise required to configure and manage complex delivery pipelines.