Find ≥15% GCP savings in 7 days. Pay $0 if we don't.

StratusOps

Stop Paying the GCP Tax. Find ≥15% in 7 Days or Pay $0.

Savings-share only (25%). For teams spending $20k+/mo on Google Cloud Platform.

How WE Can help

Our Process

Three steps. No retainers. You only pay from verified savings on your bill.

48-Hour Cost Leak Report

Upload a billing export and get a one-page estimate (conservative/expected/aggressive) with your top 3 fixes by dollar impact.

7-Day Read-Only Audit

Under NDA + read-only IAM, we pinpoint leaks across your GCP environment and deliver a prioritized, measurable savings plan.

30-Day Savings Plan & Execution

We implement with staged, monitored, rollback-ready changes, send weekly savings deltas, and you pay 25% of verified first-year savings after it shows on your bill.

Why It Works

  • Right-size autoscaling for spiky Cloud Run/GKE traffic

  • Prune BigQuery scans (partitions, clustering, materialized views)

  • Right-size Cloud SQL classes & storage tiers

  • Cut waste (idle services, zombie workloads, unwanted egress)

  • Stage → test → monitor; no performance regressions

Offer & Guarantee

Pricing: Savings-share only = 25% of verified first-year savings

Guarantee: If we don't identify ≥15% of savings, you pay $0

WE'VE DONE THIS BEFORE

Case Highlights

We've helped other teams with spiky traffic and heavy analytics see fast wins

Case: Spiky SaaS/IoT Workloads · Unit Cost ↓87%

Result: ~$525K/yr saved.

What we changed

  • Migrated service workloads from Cloud Functions to Cloud Run

  • Right-sized autoscaling and minimized cold startup times for Cloud Run services

  • Removed idle/zombie workloads

  • Leveraged profiling to identify and remove bottlenecks in service logic

  • Budgets/alerts/labels to prevent regressions and isolate cost by service

How we verified

  • Configured weekly reporting for Per Unit Cost derived from primary service usage metrics

Outcome
  • Before → After: $6.00 → $0.75 per unit (≈87-88% reduction)

  • Annualized savings: ~$525K/yr

  • Fleet size doubled

Case: Analytics/BI · BigQuery Spend ↓70%

Result: ~$84K/yr saved.

What we changed

  • Implemented medallion architecture with Dataform across 20+ workloads

  • Added materialized views for hot aggregates

  • Re-partitioned & clustered high-scan tables

How we verified

  • Month-over-month Cloud Billing export

  • INFORMATION_SCHEMA.JOBS* report to confirm bytes scanned & spend deltas

Outcome
  • Before → After: BQ analysis from $10K to $3K per month (≈70% reduction)

  • Annualized savings: ~$84K/yr

Client names/logos withheld for confidentiality; references available under NDA.

STILL NOT SURE?

Frequently Asked Questions

We're here to answer your questions

Will this hurt performance?

NO.

We stage/test/monitor, rollback ready.

How does access work?

Read-only IAM under mutual NDA (revoke anytime) for the 7-day audit; implementation is gated and reviewed.

Do you need production access?

Read-only for audit; implementation via PRs/IaC where possible.

Do you cover AWS?

GCP first; AWS soon.

Can legal sign an NDA?

Yes. Yours or ours.

What if you don't find 15% savings?

You pay $0.

StratusOps

CONTACT

[email protected]

665 Roselawn Ave, M5N 1L1

Toronto, ON, Canada

LEGAL

StratusOps is an independent organization. Not affiliated with Google Cloud.

Copyright 2025. Toronto, ON, Canada. All Rights Reserved.