The dilemma: over-provision and waste, or save and risk the crash

It's infrastructure's eternal trade-off. Turbonomic dissolves it with a different approach: not dashboards that flag problems, but actions that solve them.

Actions, not alarms

Turbonomic builds an economic model of the environment: each entity (VM, container, host, database) is a buyer and seller of resources. Continuous analysis finds the allocation keeping every application within its SLAs at minimum cost.

The result isn't 'you have a problem': it's 'resize this VM, move that load, switch off that idle' — executable actions, manual or in full automation, as you prefer.

The cloud that doesn't waste, the Kubernetes that breathes

Continuous rightsizing of cloud instances, idle shutdown, right-tier choice: the bill comes back under control, typically -30%, without performance risk. On Kubernetes, requests and limits optimized on real pods: no more OOM, no more half-empty nodes.

With Instana upstream, decisions start from real application metrics, not infrastructure averages.

How we start

Automation is gradual: start with suggested actions and human approval, reach full automation where you trust it.

• Assessment: where you're wasting capacity, in numbers
• Integration with vCenter, cloud, Kubernetes
• Suggested → approved → automatic actions
• Continuous FinOps in our managed services