Harness CD is a continuous delivery platform built around ML-verified deployments. The AIDA verification engine reads metric, log, and trace baselines established during normal operation, monitors those same signals during a canary deployment, and triggers automatic rollback when measured values deviate from historical norms.
A pre-deployment risk score analyzes the change set — file count, test coverage delta, dependency churn, commit message patterns — and assigns a risk rating before any traffic shifts to the new version. This operates on the change itself rather than on live traffic signals.
Supported deployment targets include Kubernetes (Helm and raw manifests), AWS ECS, Lambda, EKS, Azure AKS, and traditional VMs. Terraform provisioning steps can be embedded in the same pipeline. Pipeline definitions are stored as code in the application repository via Git Experience. Organization-level pipeline templates enforce deployment standards across services. Harness is a large platform also covering CI, feature flags, SRM, and chaos engineering in addition to CD.
