Harness is an AI-powered software delivery platform that provides a comprehensive suite of modules for continuous integration, continuous delivery, feature flags, cloud cost management, chaos engineering, and security testing, all unified under a single platform with artificial intelligence woven throughout. Founded in 2016 by Jyoti Bansal and Rishi Singh, the company is headquartered in San Francisco, California. Harness differentiates itself through its AI-native approach to DevOps, with its AIDA (AI Development Assistant) providing intelligent capabilities across all platform modules. In continuous delivery, Harness uses machine learning for automated canary deployments with verification, where AI analyzes metrics, logs, and traces to automatically determine whether a deployment is healthy and should proceed or should be rolled back. This continuous verification capability eliminates the need for manual monitoring during deployments and reduces the risk of pushing bad code to production. Harness's CI module leverages AI to optimize build times through intelligent test selection, which uses machine learning to identify and run only the tests likely affected by code changes, significantly reducing pipeline execution time. The platform's cloud cost management module uses AI to identify cost optimization opportunities, detect anomalous spending, and recommend rightsizing actions for cloud resources. Harness also offers AI-powered security testing through its Software Supply Chain Assurance module, which scans for vulnerabilities and policy violations. The platform supports all major cloud providers and deployment targets including Kubernetes, serverless, traditional VMs, and edge environments. Harness provides a free tier for small teams, a Team plan with expanded capabilities, and an Enterprise plan with advanced governance, audit trails, and custom integrations. The platform offers comprehensive APIs and a Terraform provider for infrastructure-as-code integration.

AI 分析工具

Harness 的云成本管理模块使用 AI 来分析云支出模式、检测成本异常并推荐优化操作，如调整实例大小和识别闲置资源。其部署分析跨团队和服务提供关于发布速度、失败率和管道效率的见解。

AI自动化工具

Harness 使用 AI 自动化整个软件交付管道，从代码提交到生产部署。其机器学习驱动的持续验证根据指标、日志和追踪的实时分析自动批准或回滚部署，减少发布过程中的手动干预。

AI网络安全

Harness 通过其软件供应链保证模块提供 AI 辅助的安全测试，该模块扫描漏洞、执行安全策略并监控软件供应链。它将安全扫描直接集成到 CI/CD 管道中，通过自动化政策执行和合规性检查启用 DevSecOps 实践。

AI DevOps 工具

Harness 是一个全面的 AI 原生 DevOps 平台，在统一的伞形框架下提供持续集成、持续交付、功能标志、云成本管理和混沌工程。其 AIDA AI 助手和机器学习驱动的持续验证自动化部署分析，启用安全的推出，并在检测到问题时自动回滚。

AI 测试工具

Harness 使用 AI 驱动的测试智能来优化 CI 管道中的测试执行。其机器学习模型分析代码变更以识别并仅运行可能受影响的测试，显著减少管道执行时间。该平台还支持自动金丝雀分析，使用指标和日志验证部署健康状况。