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Cost optimization

Most companies pay 20-40% more for Google Cloud services than they need to. Not because GCP is expensive, but because the configuration is not optimized. We fix it.

20-40%typical bill reduction

Up to 57%savings with 3-year CUDs

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Where is money lost in GCP ?

These are the problems we find in 90% of the audits we perform:

Oversized virtual machines — 16 vCPU virtual machines using an average of two. You pay 8x more for the compute resource than you need.

Orphaned resources — Permanent disks without virtual machines, old snapshots, reserved but unused static IP addresses. These cost money every month without anyone knowing about it.

Without ide and SUDs — Pay on-demand for virtual machines that have been running 24/7 for months. Continuous Usage Discounts (SUD) are automatically applied, but 1-3 year Commitment Based Discounts (CUD) can bring up to 57% additional savings.

Unnecessary network traffic — Egress of data between regions or zones, or to the internet in situations where the data could remain in the same zone. Network services are one of the most opaque cost items in GCP .

Our optimization process

We don't give general recommendations — we implement measurable changes that have an immediate impact:

Consumption audit (free)

We analyze your GCP bill line by line: compute, storage, network services, databases, BigQuery . We identify exactly where waste occurs and how much you can save. We present the results in concrete numbers.

Quick wins (weeks 1-2)

We remove orphaned resources, adjust the size of obviously oversized virtual machines, and configure autoscaling where it is not available. These steps usually result in immediate savings of 10-15%.

CUDs and Spot VMs (1st month)

We analyze your stable usage to calculate the optimal CUD (1 or 3 years, up to 57% savings on compute resources). For disruption-tolerant workloads (CI/CD, batch processing, rendering), we set up Spot VMs with discounts of up to 91%.

Continuous FinOps (monthly)

Monthly reviews with Looker dashboards. We implement new Recommender recommendations. We adjust CUDs according to actual usage. Budget notifications at 50/80/100%. Savings are permanent, not one-time.

FinOps: a culture of continuous optimization

Cost optimization is not a project — it's a discipline. FinOps brings together engineering, finance, and business to make savings sustainable:

Notification

Full visibility: dashboards by team, project and service. Each person responsible can see their impact on the bill.

Optimization

Rightsizing, CUDs, Spot VMs, orphaned resource cleanup. Measures with measurable impact that do not hurt performance.

Operation

Mandatory labeling, quota policies, monthly inspections, and accountability between teams.

Savings mechanisms on Google Cloud platform

Mechanism	Savings	Prerequisite
SUDs (automatic)	Up to 30%	None — automatically applied when using virtual machines
1-year CUDs	Up to 37%	Minimum usage commitment for 1 year
3-year CUDs	Up to 57%	Minimum usage obligation for 3 years
Spot VMs	Up to 91%	Interruption-tolerant workloads (batch processing, CI/CD)
Rightsizing	20-60%	Adjusting virtual machines to actual CPU and memory usage
BigQuery flat-rate	Variable	For companies that use BQ intensively and predictably

Tools we use

Cloud Billing Recommend Committed Use Discounts Spot VMs Looker Dashboards Budget Alerts Cloud Monitoring

Frequently asked questions

Most companies can reduce their bill by 20-40% by combining rightsizing, commitment-based discounts (CUDs), and removing unused resources. The exact savings depend on your current configuration — we’ll calculate this with specific numbers during a free audit.

Committed Use Discounts are discounts offered by Google in exchange for a 1- or 3-year usage commitment. They are not reservations for specific machine instances, but flexible discounts on CPU and memory usage in a region. You can switch machine types without losing the discount. Save up to 57% on compute resources.

No. Each recommendation is validated against real-world CPU, memory, disk, and network performance before implementation. Rightsizing is not about blindly downsizing, but about adjusting based on actual usage. If a virtual machine uses only two of its 16 vCPUs over a 30-day period, downsizing to four vCPUs leaves enough headroom and saves 75%.

Cost cutting is a one-time action that will fade in three months. FinOps is an ongoing discipline: team-based dashboards, labeling rules, monthly reviews, budget notifications, and accountability. The savings are sustained and grow over time.

No. Our service has a fixed monthly fee. We do not charge a commission fee. This way, our interests are aligned with yours: we want your bill to be as low as possible, so you will continue to use our service for longer.

Do you want to know how much you can save?

Free consumption audit. We'll tell you exactly where waste occurs and how much you can reduce costs. No obligation.

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