Kubernetes should cost what you actually use.
TERAKUBE exists because too many clusters pay for capacity nobody is using — and finding that waste by hand is slow, risky, and never finished. We built a platform that does it continuously, with AI-driven decisions and safe, reversible automation.
Our mission
Make Kubernetes cost reduction automatic, transparent, and safe — so teams keep availability and developer velocity while cutting cloud waste.
Why it matters
Idle workloads, over-provisioned requests, and warm-but-unused nodes are a large, recurring cost. Optimizing them continuously is work software should do, not people.
Product philosophy
Observe before you automate. Keep every action transparent and reversible. Show estimates honestly instead of promising numbers we can't back up.
What we focus on
Automation, transparency, reliability, and measurable savings — in that order, for real production clusters.
How we think about it
Observe → Understand → Optimize → Automate → Measure. That loop is the whole product. Everything TERAKUBE does moves a cluster along it safely, and makes the savings visible at the end.
Built by an engineer who ships across the whole stack
TERAKUBE is built by Tarik, a full-stack engineer and its founder — the same person who writes the Go core, the ML pipeline, the React UI, and runs it against real AWS EKS clusters. Every optimization, safety guard, and line of the platform comes from hands-on Kubernetes and cloud infrastructure work, not a slide deck.
That means when you talk to TERAKUBE, you talk to the person who can actually fix the bug, ship the feature, and understand your cluster — with the responsiveness of a founder, not a support queue.