Three steps. No retainers. You only pay from verified savings on your bill.
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
We've helped other teams with spiky traffic and heavy analytics see fast wins
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
Configured weekly reporting for Per Unit Cost derived from primary service usage metrics
Before → After: $6.00 → $0.75 per unit (≈87-88% reduction)
Annualized savings: ~$525K/yr
Fleet size doubled
Implemented medallion architecture with Dataform across 20+ workloads
Added materialized views for hot aggregates
Re-partitioned & clustered high-scan tables
Month-over-month Cloud Billing export
INFORMATION_SCHEMA.JOBS*
report to confirm bytes scanned & spend deltas
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.
We're here to answer your questions
NO.
We stage/test/monitor, rollback ready.
Read-only IAM under mutual NDA (revoke anytime) for the 7-day audit; implementation is gated and reviewed.
Read-only for audit; implementation via PRs/IaC where possible.
GCP first; AWS soon.
Yes. Yours or ours.
You pay $0.
StratusOps is an independent organization. Not affiliated with Google Cloud.
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