AI Verification
Rollback before customers know it's broken
The safety net for your deployments
Intelligent verification in action
Automated baselining. Harness takes predeployment baselines of application logs and metrics, and compares them to data streamed from observability tools watching new versions just like your best engineers would.
Correlated findings. Correlates metric and log findings across endpoints to make recommendations or automated rollback decisions.
Manual verification doesn't scale
Traditional deployment verification requires engineer effort. As the volume of deployments grows, people can't keep up.
Manual dashboard watching is time consuming, boring, and error-prone.
Reactive alerting means teams respond after issues already impact customers.
Configuration bottlenecks require coordination between Dev, DevOps, and SRE teams.
Your SRE. Codified.
Profile generation. Harness AI connects to your observability tools, such as Datadog, Prometheus, and Splunk (typically via MCP), and automatically generates health verification profiles.
Learns normal behavior. The system learns normal behavior patterns and quickly detects deviations, enabling automatic rollback before customer impact occurs.
Comprehensive deployment verification
Metric verification. Native integrations with AppDynamics, Datadog, Prometheus, CloudWatch, and 15+ other monitoring tools out of the box.
Log analysis. AI-powered anomaly detection across Splunk, Elasticsearch, Grafana Loki, and Google Cloud Ops — without writing queries.
Flexible action options. Choose fully automatic rollback, manual review gates, or smart notifications routed to the right engineer.
Continuous monitoring. Post-deployment health checks run continuously, with rollback triggered automatically when thresholds are breached.
Get started with Harness Continuous Delivery
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