Waste signals
- CPU < 10% sustained
- Standard machine types where custom shape would save 20%+
- No CUD coverage on baseline
- Dev/test VMs without schedule
GCP Compute Engine cost optimization
GCP Compute Engine is uniquely flexible (custom machine types) and uniquely under-optimized. TurboFinOps recommends concrete custom-shape targets per workload.
Typical savings range$1,500-$14,000 / monthmid-market GCP project
Optimization levers
- Migrate to custom machine types matched to p95 usage
- Adopt Spot for fault-tolerant tiers
- Apply 1-year or 3-year CUDs to baseline
- Schedule dev/test fleets off nights/weekends
Workflow
How TurboFinOps closes the loop
1. Scan
Enumerate instances, types, Cloud Monitoring metrics.
2. Surface
Custom-shape and CUD candidates ranked by savings.
3. Approve
Changes pass conflict guard.
4. Verify
Receipts confirm Compute Engine spend drops.
FAQ
Frequently asked questions
Does GCP's sustained-use discount affect rightsizing?+
Yes — recommendations factor in SUD to avoid suggesting changes that would only break even.
Are E2 and T2D shapes supported?+
Yes — including ARM Tau VMs (T2A).
Related gcp cost optimization guides
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