Visualize DevOps delivery metrics with Harness

Ask anything. Get instant answers about team performance, deployment trends, failure rates, and DORA metrics — no SQL or dashboard-building required.

Dashboards on demand. Want to revisit an insight later? Ask Harness AI to convert any query into a dashboard, and you'll have one in moments.

Optimized for speed. Harness built its knowledge graph and semantic connections to quickly traverse and gather data, so answers arrive in seconds, not minutes.

Success and failure breakdown. See at a glance which projects are deploying cleanly and which have elevated failure rates, filterable by time window.

Frequency trends. Track whether deployment cadence is accelerating or slowing for each team, with week-over-week and month-over-month indicators.

Failure rate signals. Spot services with high failure rates before they become incidents, so you can prioritize remediation where it matters most.

Daily execution tracking. Monitor total pipeline executions per day to correlate delivery volume with team capacity or incident spikes.

Environment version map. Know exactly which artifact version is running in dev, staging, and production for every service — no digging through logs.

Freshness indicators. See when each environment was last updated to identify stale environments or delayed promotions before they cause issues.

Recent deployment history. Scroll back through recent deployments for a service to trace when a behavior change or regression was introduced.

Full environment inventory. See every service deployed into an environment alongside its current artifact version in a single scrollable view.

Cluster locations. Understand which Kubernetes clusters or cloud regions host your workloads to catch misrouted or incorrectly deployed services.

Instance counts. Compare replica counts across test and production environments to catch scale mismatches before they affect reliability.

Looker-powered visualizations. Build charts, tables, and funnels using Looker's visualization engine, pulling directly from Harness's delivery data.

Scheduled report distribution. Automatically send dashboards to stakeholders on a daily, weekly, or monthly cadence — no login required.

Conditional alert reporting. Trigger reports when thresholds are crossed — like failure rate exceeding 5% — so teams act on data without polling dashboards.

Deployment Frequency. Measure how often your team successfully releases to production — the leading indicator of delivery speed.

Lead Time to Production. Track time from code commit to production deployment to pinpoint where work stalls in your delivery chain.

Mean Time to Restore (MTTR). Measure how quickly your team recovers from production incidents and outages to assess operational resilience.

Change Failure Rate. Monitor what percentage of deployments result in a degradation or rollback to surface systemic quality issues.