Most companies pay between 20% and 40% more than necessary for Google Cloud . Not because GCP is expensive, but because the configuration isn't optimized. We fix that.
These are the problems we find in 90% of the audits we conduct:
We don’t make generic recommendations—we make measurable changes with immediate impact:
We analyze your GCP bill line by line: compute, storage, networking, databases, BigQuery . We identify exactly where the waste lies and how much you can save, presenting the findings with concrete figures.
We eliminate orphaned resources, right-size obvious VMs, and configure auto-scaling where it is missing. These actions typically yield immediate savings of 10–15%.
We analyze your steady-state usage to calculate the optimal CUD (1 or 3 years, up to 57% savings on compute). For interruption-tolerant workloads (CI/CD, batch, rendering), we configure Spot VMs with up to a 91% discount.
Monthly reviews using Looker dashboards. We implement new recommendations from the Recommender. We adjust CUDs based on actual usage. Budget alerts at 50%, 80%, and 100%. The savings are sustainable, not one-off.
Cost optimization is not a project—it is a discipline. FinOps integrates engineering, finance, and the business to ensure sustainable savings:
Full visibility: dashboards by team, project, and service. Each manager sees their impact on the bill.
Rightsizing, CUDs, Spot VMs, and cleanup of orphaned resources. Actions with measurable impact that do not affect performance.
Mandatory tagging, quota policies, monthly reviews, and cross-team accountability.
| Mechanism | Savings | Requirement |
|---|---|---|
| SUDs (automatic) | Up to 30% | None — they are applied automatically when using VMs. |
| 1-year CUDs | Up to 37% | Minimum usage commitment of 1 year |
| 3-year CUDs | Up to 57% | Minimum usage commitment for 3 years |
| Spot VMs | Up to 91% | Interruption-tolerant workloads (batch, CI/CD) |
| Rightsizing | 20-60% | Adjust VMs to actual CPU and memory usage |
| Flat-rate BigQuery | Variable | For companies with intensive and predictable BQ usage |
Frequently Asked Questions
Most companies manage to reduce their bill by 20% to 40% through a combination of rightsizing, CUDs, and the elimination of unused resources. The exact savings depend on your current setup—we calculate this using concrete figures during the free audit.
Committed Use Discounts are discounts Google offers in exchange for a 1- or 3-year usage commitment. They are not reservations for specific instances; rather, they are flexible discounts on CPU and memory usage within a region. You can change machine types without losing the discount. Savings of up to 57% on compute.
No. Each recommendation is validated against actual CPU, memory, disk, and network metrics before implementation. Rightsizing isn't about blindly downsizing—it’s about adjusting to actual usage. If a VM uses 2 out of 16 vCPUs over a 30-day period, scaling it down to 4 vCPUs provides plenty of headroom while saving 75%.
Cutting costs is a one-off action whose impact fades within three months. FinOps is an ongoing discipline: team-specific dashboards, tagging policies, monthly reviews, budget alerts, and accountability. Savings are sustained and grow over time.
No. Our service comes with a fixed monthly price. We do not charge a commission on the savings. This way, our incentives are aligned with yours: we want your bill to drop as much as possible, because that leads you to hire us for longer.
Free consumption audit. We tell you exactly where the waste is and how much you can reduce it. No obligation.
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