Right-size your entire cluster. Without a single restart.

Autopilot continuously tunes every pod, node, and autoscaler to real usage—in place, inside your cluster. Zero downtime, flat cost, no telemetry.

Built on the primitives Kubernetes gives you—not around them.

• KEP-1287 in-place resize
• Prometheus-native
• PDB-aware draining
• GKE & EKS
• runs on-cluster

A right-sized cluster is a smaller bill.

The gap between what your cluster reserves and what it actually uses is money—most fleets run far below what they pay for. Right-sizing reclaims that difference, and Autopilot reclaims it continuously, recomputed as your usage shifts.

Four systems, one loop:

Right-size every pod

KEP-1287 in-place resizing matches every workload to its real CPU and memory usage, recomputed continuously and applied with no restarts, no rescheduling, no dropped connections.

Provision the exact node

When pods can't fit, Autopilot picks and provisions the right machine per pod instead of a one-size pool—spot and on-demand together—and drains the empties when demand drops.

Tune the autoscalers that need it

Analyzes every HPA and only touches the ~27% that are misconfigured: oscillation stabilized, min replicas right-sized, elasticity intact.

Consolidate, safely

Bin-packs fragmented capacity onto fewer, cheaper nodes, with a proven placement simulation and PDB-aware draining before a single pod moves.

Right-sized is also resilient.

The same tuning that cuts the bill keeps production standing: workloads floored so they don't fall over on their busy day, autoscaler flapping damped before it cascades.

Extend your DevOps team without extending headcount.

When right-sizing is automated and provably right, resource management stops being a team's job. The cluster stays correct without anyone standing over it—your DevOps team.

It earns every change before it makes it.

The reason autonomous optimizers don't get turned on is fear they'll break production. Autopilot is built the opposite way:

Start in observe-only mode.

Watch what it would change, and why, before it changes anything.

Every decision is visible.

The dashboard shows the reasoning behind every resize, scale, and consolidation.

Your settings always win.

Floors, ceilings, and any explicit operator setting override Autopilot, per workload, permanently.

No restarts, ever.

Resizes apply in place while workloads keep serving: no rollout, no cold start, no dropped requests.

Flat cost beats a tax on your savings.

Savings-based tools charge you more precisely when they work best. Autopilot is priced by footprint, not savings: a small, fixed monthly cost that doesn't grow with your cluster or your results.

Everything’s in the docs.

The docs cover everything: a 15-minute install, the full optimization loop, scheduled scaling, resource overrides, and pod tools.

Your cluster, understood. Deployed in about 15 minutes.

Tell us about your setup and we'll show you what Autopilot would reclaim—a tailored savings estimate, a guided install when you're ready, and migration help from savings-based tools or manual right-sizing.