Most companies pay 20% to 40% more than they need to on Google Cloud. It’s not because GCP is expensive—it’s because their setup isn’t optimized. We can fix that.
These are the issues we encounter in 90% of the audits we conduct:
We don't make generic recommendations—we make measurable changes with immediate results:
We analyze your GCP bill line by line: compute, storage, networking, databases, and BigQuery. We pinpoint exactly where waste is occurring and how much you can save. We present this information to you with concrete figures.
We remove orphaned resources, rightsize obvious VMs, and set up autoscaling where it’s not already in place. These actions typically result in immediate savings of 10–15%.
We analyze your consistent 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 just a one-time occurrence.
Cost optimization isn't a project—it's a discipline. FinOps integrates engineering, finance, and business to ensure that cost savings are sustainable:
Full visibility: dashboards by team, project, and service. Each manager can see their impact on the bill.
Rightsizing, CUDs, Spot VMs, orphan cleanup. Actions with measurable impact that do not affect performance.
Mandatory tagging, quota policies, monthly reviews, and accountability among teams.
| Mechanism | Savings | Requirement |
|---|---|---|
| SUDs (automatic) | Up to 30% | None — applied automatically when using VMs |
| 1-year CUDs | Up to 37% | Minimum one-year commitment |
| 3-year CUDs | Up to 57% | Minimum 3-year commitment |
| Spot VMs | Up to 91% | Interruption-tolerant workloads (batch, CI/CD) |
| Rightsizing | 20–60% | Adjust VMs to match actual CPU and memory usage |
| BigQuery Flat Rate | Variable | For businesses with intensive and predictable use of BQ |
Frequently Asked Questions
Most companies manage to reduce their costs by 20% to 40% through a combination of rightsizing, CUDs, and eliminating unused resources. The exact savings depend on your current setup—we’ll calculate them using specific figures during our free audit.
Committed Use Discounts are discounts that Google offers in exchange for a 1- or 3-year usage commitment. They are not reservations for specific instances—they are flexible discounts on CPU and memory usage within a region. You can switch machine types without losing the discount. Save up to 57% on compute.
No. Each recommendation is validated against actual CPU, memory, disk, and network metrics before being implemented. Rightsizing isn’t about blindly scaling down—it’s about adjusting to actual usage. If a VM uses 2 out of 16 vCPUs for 30 days, reducing it to 4 vCPUs provides plenty of headroom and saves 75%.
Cutting costs is a one-time measure that loses its impact within three months. FinOps is an ongoing discipline: team-specific dashboards, tagging policies, monthly reviews, budget alerts, and accountability. The savings are sustained and grow over time.
No. Our service has a fixed monthly fee. We don't charge a commission on the savings. That way, our incentives are aligned with yours: we want your bill to go down as much as possible, because that means you'll stay with us longer.
Free energy audit. We'll show you exactly where you're wasting energy and how much you can save. No strings attached.
Start here