CloudPi turns rightsizing into a controlled operating motion. Detect oversized resources, route each action through the right execution model, and prove the savings after the change lands.
A useful rightsizing workflow combines utilization context, role-based control, and measurable outcomes. Otherwise every recommendation becomes another manual review queue.
Finance wants savings. FinOps exports a list. Engineering asks whether the resource is actually safe to change. CloudOps worries about incidents. Weeks later, only a few actions move.
CloudPi gives each rightsizing opportunity the level of speed and control it deserves. Low-risk actions can move automatically. Production changes can require approval. Complex workloads can become enriched tickets for engineering review.
CloudPi supports three rightsizing modes so teams can move quickly in low-risk environments and stay cautious where reliability matters.
Ideal for predictable lower-risk environments where the utilization pattern and policy guardrails already make the action safe enough to automate.
CloudPi presents the resource, recommended target size, utilization evidence, and savings estimate so teams can review before any change is made.
Instead of emailing recommendations, CloudPi routes the action into the tools teams already use with resource details, projected savings, and execution context attached.
Not every oversized resource should be treated the same way. CloudPi helps teams choose the right action path based on environment, risk, and ownership.
| Scenario | Without CloudPi | With CloudPi |
|---|---|---|
| Oversized dev instances Low-risk, repeatable, policy-safe workloads. |
Teams identify them manually, then wait for someone to make the change when time allows. | Autonomous policy executes the rightsize action automatically and records the outcome. |
| Production app servers Utilization is low, but reliability matters. |
Recommendation sits in review because nobody wants to approve it without enough context. | Approval-gated workflow shows evidence, projected savings, and target size before execution. |
| Shared platform services Multiple teams depend on the same workload. |
FinOps sends a recommendation and waits for engineering to investigate manually. | Enriched ticket routes the opportunity with technical and financial context already attached. |
| Board reporting Leadership wants the savings number. |
Teams report theoretical opportunity totals that may never become real savings. | TRUE Savings reports what was actually executed and what changed on the bill. |
Rightsizing has more credibility when the organization can see how much moved, what remained blocked, and what actually changed on the bill after execution.
CloudPi keeps each team in the loop without forcing everyone into the same workflow or level of responsibility.
FinOps can build policy-driven optimization workflows while Finance gets a cleaner narrative around what was identified, approved, executed, and realized.
CloudOps and engineering teams get the evidence and workflow context needed to review recommendations quickly without treating every recommendation like an incident risk.