AI-assisted
Deployment Verification

Deploy with confidence as Harness uses AI to automatically detect variance in metrics and logs after a deployment. You can automatically rollback if a regression is found.

Illustration showing a CD pipeline from GitHub to Kubernetes with Argo CD for GitOps deployment automation.

The Old Way Was Broken

Manual Dashboard Watching

Slow, error-prone, and unscalable. By the time a human spots a trend, your customers already have.

Reactive Alerting

Waiting for alarms means you're already too late. This isn't prevention; it's damage control.

The Configuration Bottleneck

The biggest problem: Getting verification set up requires a meeting between Dev, DevOps, and SRE. It's so painful that it rarely gets done.

Illustration showing a CD pipeline from GitHub to Kubernetes with Argo CD for GitOps deployment automation.

Your SRE, Codified.

Harness AI now acts as your expert SRE, securely connecting to your observability tools (Datadog, Prometheus, Splunk, etc.). It intelligently analyzes your service and automatically generates the health verification profile. It knows which metrics to watch and which log patterns to look for, so your teams don't have to. The result is an enterprise-grade safety net, configured in minutes, with zero meetings required.

Diagram showing Harness AI connected bidirectionally with MCP Servers that include Datadog, Prometheus, Splunk, and an additional server, with a question about monitoring connectivity issues on a boutique container.
Illustration showing a CD pipeline from GitHub to Kubernetes with Argo CD for GitOps deployment automation.

Verify your Deployments
with your Metrics

Taking the toil out of manually correlating deployment metrics, Harness has the ability to verify your deployments from a wide variety of metric providers such as AppDynamics, Datadog, Prometheus, and  Cloudwatch. Harness can analyze the incoming metrics and compare those metrics against a stable baseline and determine if you are trending towards regression.

Learn more about metric verification results ->
Verification dashboard showing average response time comparison between test host web-canary-prod-canary and control host, marked unhealthy with 1 high risk, 0 medium, and 3 low risk items, including risk criteria and actions.
Illustration showing a CD pipeline from GitHub to Kubernetes with Argo CD for GitOps deployment automation.

Verify your Deployments with Logs

Harness has the ability to verify your deployments from a wide variety of log providers such as Splunk, Elasticsearch, Grafana Loki, and Google Cloud Ops. Harness can analyze log events for their presence and increase in frequency against a stable baseline using unsupervised machine learning.

Learn more about log verification results ->Radar chart showing 45 clusters categorized as Baseline, Known, Unexpected Frequency, and Unknown with health statuses Healthy, Medium healthy, and Unhealthy, alongside a legend and sample error messages.
Illustration showing a CD pipeline from GitHub to Kubernetes with Argo CD for GitOps deployment automation.

Take automatic or manual action

As part of your Harness Pipeline, Deployment Verification can follow any failure strategy that a Harness Pipeline supports. You can automatically rollback a deployment if a regression is found or bring in human intervention with smart notifications.

Learn more about take automatic or manual action ->Dashboard showing deployment verification failure with options to perform actions like rollback, ignore failure, retry, mark as success, or abort, and a post timeout action set to automatic rollback stage.
Illustration showing a CD pipeline from GitHub to Kubernetes with Argo CD for GitOps deployment automation.

Leverage continuous verification today

Monitor Deployment Health

Monitor the health of a deployment by validating metrics and logs from one or many sources

Rollback Automation

Automated rollback of problem releases tied to deployment strategy

Smart Notification

Optionally bring in human intervention with smart notifications

Deployment verification failed requiring manual intervention; primary has 3 nodes with 100% traffic, canary has 5 nodes with 20% traffic; summary shows 3 of 15 metrics, 1 of 12 log clusters, and 1 of 4 error clusters in violation.

Ride the wave of Modern Software Delivery

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Continuous Delivery & GitOps