Containers hide cost behind abstraction. OPTMIN allocates K8s spend down to namespace, workload and team — then rightsizes, catches replica drift, and reclaims idle pods automatically, reliability first.
Map cluster spend to namespace, deployment and team — so Kubernetes stops being a single untagged line item.
OPTMIN spots over-provisioned requests, replica drift and idle pods — and the Rightsizer agent corrects them, with your approval and health at the center.
Balancing K8s efficiency with reliability creates delays and bottlenecks across the whole org.
Autoscalers, debugging, scaling environments and policy enforcement never end — without dedicated platform engineers, teams are stretched thin.
Autonomous rightsizing and drift detection run continuously, so the cluster tunes itself — your team approves, OPTMIN does the work.
Teams pad CPU and memory 'just in case'. With no usage data, that waste compounds with zero accountability.
Pod-level baselines right-size requests and limits to real demand — reliability-first, never trading away uptime.
Monitoring, cost and logging live in separate tools; a unified picture of health, performance and spend is nearly impossible.
One pane maps cost to namespace, workload and team alongside utilization — health, performance and spend in context.
Hybrid and multi-cloud across many clusters makes consistent governance hard; reliability and compliance slip.
Policy guardrails by workload criticality, environment and business hours apply across every cluster and cloud, automatically.
Connect a cluster read-only and see where the waste is. Live in minutes.