Cloud cost optimization that finds the waste and keeps it from coming back.

Cost depends on the size and number of accounts, how many clouds and Kubernetes clusters you run, and whether you want a one-off review or ongoing managed cloud. The review is a fixed-price project, and managed cloud runs on a monthly retainer. You get a written scope after a free call, and we'll say plainly if your bill is too small for a review to pay for itself.

Savings depend on your starting point, so we estimate them from your own usage data rather than quoting a percentage up front. Accounts that have never been reviewed usually have idle resources, oversized instances and steady usage without commitments to address. The review gives you a ranked list with an estimated saving for each item before you approve any change.

FinOps is a practice that brings engineering, finance and product teams together to manage cloud spend, so cost becomes part of everyday engineering decisions. The FinOps Foundation describes it in three phases: inform, optimize and operate. We set up the visibility, make the first savings and put the routines in place to keep them.

Changes are based on weeks of real usage data, and each one is tested before it reaches production. Rightsizing leaves headroom for peaks, and anything that touches a production workload is scheduled with your team and can be reversed.

Yes, for usage that's steady and expected to stay, since commitments cost less than on-demand rates. We size commitments to the baseline you'll keep using, after rightsizing, and leave spiky or uncertain workloads on demand or on spot capacity.

Read-only access to billing and usage data is enough for the review. Changes such as rightsizing or cleanup use a role with limited permissions, applied through your change process or infrastructure as code, and every action is logged.

Our managed cloud covers monitoring and alerting, patching, backup checks, security updates, small changes and a monthly cost and health review. Response times and the scope of support are agreed in writing, and everything stays in accounts you own.

Yes, we review requests and limits, node sizes, autoscaling and idle namespaces with tools such as Kubecost or OpenCost, then allocate cluster cost to each team or service. Kubernetes is a common place for unused capacity to hide.