Cut waste without losing velocity

Continuous monitoring across AWS, Azure, and GCP. Every compute type tracked continuously across your multi-cloud environment. Nothing idles unnoticed, regardless of cloud provider.

Detects idle VMs, containers, Kubernetes workloads, and databases. Usage patterns analyzed across all resource types. Harness flags idle resources before they accumulate into wasted spend.

Real-time alerts before idle resources drain your budget. Get notified as idle time builds, not at the end of the billing cycle when the damage is already done.

Schedule-based and inactivity-triggered shutdown rules. Resources stop on a schedule or after an idle window, whichever comes first. One rule handles both patterns without separate configurations.

Scoped to environments, tags, teams, or individual resources. Rules apply exactly where you need them. Target dev environments, specific teams, or tagged resource groups without writing custom scripts.

Production workloads excluded automatically. Production environments are protected by default. Harness applies shutdown policies only to non-production workloads, with no override risk.

Auto-restart triggered by traffic, browser access, or API call. Any access signal, whether HTTP traffic, browser request, or API call, triggers an instant restart. No manual intervention or ticketing required.

Developers experience no downtime, the delay is invisible. Traffic is held at the proxy while the resource restarts. By the time the developer loads the page, the resource is running.

Full audit trail of every stop and start event for compliance. Every shutdown and restart logged with timestamps, trigger source, and duration. Full visibility for FinOps and compliance teams.

Analyzes historical usage to find the optimal RI and Savings Plan mix. Every recommendation based on actual usage patterns across your accounts, not generic benchmarks or manual spreadsheet analysis.

Covers AWS, Azure, and GCP commitments in a single unified view. Reserved Instances, Savings Plans, and Committed Use Discounts managed together, ranked by impact in one place.

Recommendations ranked by impact, with highest savings opportunities first. Projected monthly savings, confidence score, and break-even date included with every recommendation. No guesswork required.

Live coverage dashboard across all RIs and Savings Plans. Real-time view of commitment coverage across every account and cloud provider. No manual pulls, no end-of-month surprises.

Expiration alerts before commitments lapse into on-demand rates. Harness tracks expiry dates and flags gaps weeks in advance so you never fall back to on-demand pricing unintentionally.

Gap analysis showing exactly where coverage is falling short. Uncovered spend surfaced by resource group, account, and region. Every gap includes a recommendation to close it.

Recommendations refresh automatically as usage patterns shift. As workloads scale up or down, the optimal commitment mix recalculates automatically. No manual re-analysis required.

Avoids over-committing during periods of planned workload change. Harness accounts for planned changes in your environment before recommending long-term commitments. No lock-in risk.

Avg. 38% improvement in RI and Savings Plan utilization. Automated coverage management consistently improves commitment utilization compared to manual or point-in-time analysis.

Autoscaling driven by workload patterns, not just CPU. Node counts adjust based on memory pressure, pending pods, and historical usage patterns, not just raw CPU thresholds that lead to over-provisioning.

Spot-first scheduling reduces compute costs by up to 70%. Workloads land on spot nodes wherever possible, with on-demand reserved for critical services. Cost savings happen at the infrastructure layer.

Scale down as fast as scale up to eliminate idle capacity. Unused node capacity is reclaimed immediately as demand drops. Harness continuously right-sizes the pool without manual tuning.

Automatic workload migration on 2-minute interruption notice. AWS, GCP, and Azure provide a 2-minute warning before reclaiming spot capacity. Harness uses that window to reschedule pods gracefully.

Zero-downtime pod rescheduling without manual intervention. Pods migrate to available nodes automatically. Your application keeps running through the interruption without requiring any on-call response.

Spot fallback to on-demand for critical workloads. If spot capacity runs out, critical workloads land on on-demand instantly. Non-critical batch jobs queue until spot capacity returns.

Critical workloads on on-demand, non-critical workloads on spot. Priority-aware scheduling ensures production services run reliably on on-demand while batch jobs and dev workloads maximize spot savings.

Kubernetes-native with no changes to application manifests. Scheduling decisions happen at the infrastructure layer. Application code, Helm charts, and manifests stay untouched.

Continuous optimization as your workload mix evolves. As new workloads are deployed, Harness recalculates the optimal node and pricing mix automatically. No manual tuning required.