GCP billing is hard to explain
Projects, services, labels, and shared clusters make ownership unclear.
Google Cloud Cost Optimization
Make Google Cloud cost predictable.
Google Cloud gets expensive when projects, labels, and shared clusters stop telling a clear story. We turn the bill back into something engineering and finance can both read, then tune the parts that actually move cost.
The plain version
The usual GCP savings are not mysterious: right-sized Compute Engine, cleaner Cloud SQL tiers, better GKE autoscaling, storage lifecycle rules, fewer expensive network paths, and commitments bought only for usage that is genuinely stable.
GCE + SQL
compute and database review
GKE
cluster efficiency
CUD
discount modeling
When this is worth fixing
If these signs are familiar, it is time to clean it up
Compute runs all the time
VMs and environments stay on even when nobody uses them.
Cloud SQL is not tuned
Database tiers, storage, replicas, and backups grow without a regular review.
GKE usage is opaque
Teams share clusters but cannot see which namespace or service drives cost.
What actually gets done
Not a slide deck that stops at recommendations.
We keep the work practical: enough analysis to avoid reckless changes, then implementation you can review, roll back, and hand over.
GCP billing export and project-level cost review
Compute Engine, Cloud SQL, GKE, Cloud Storage, and network findings
Committed use discount and sustained usage recommendations
GKE node pool, requests, limits, and autoscaling plan
Labels, budgets, alerts, and dashboard setup
Implementation plan with reliability guardrails
Process
Small steps. Clear rollback.
01
Export and group spend
We group GCP cost by project, service, environment, and owner.
02
Identify top waste
We review compute, database, storage, GKE, and egress patterns for avoidable cost.
03
Tune workloads
We right-size resources, add schedules, tune autoscaling, and model discounts.
04
Set FinOps controls
We leave labels, alerts, dashboards, and review routines.
Related work
This usually connects to cloud cost work.
Frequently asked questions.
What GCP costs should we review first?
Start with Compute Engine, Cloud SQL, GKE, Cloud Storage, and network egress. These usually explain most of the bill.
Can you optimize GKE?
Yes. We tune node pools, requests, limits, horizontal and cluster autoscaling, storage, and namespace-level visibility.
Are committed use discounts worth it?
They are worth it for predictable usage, but should not be bought blindly. We model your steady baseline before recommending commitments.
Can you work across multiple GCP projects?
Yes. A clean cost model usually needs project, label, folder, billing export, and owner mapping.
Bring the setup you have. It does not need to be tidy.
Send a short brief: provider, app shape, bill or release pain, and what you want to fix. We will reply with sensible first steps.