GCPGCP spend without writing a query.
StackSpend finds your BigQuery billing export and does the SQL for good. You get the daily number, the spike alert, and GCP in the same picture as everything else.
- Read-only access
- 14-day free trial
- No credit card required
- 5 min
- setup, per provider
- 90 days
- available history
- Same-day
- anomaly alerts
Spend vs Budget
Forecast $45,000 this month
See what is driving GCP spend.
Read-only access, with nothing to install.
Billing integrations read cost and usage data without changing your provider resources. Permissions vary by provider; follow its setup guide. Claude usage uses opt-in OpenTelemetry, and custom sources use cost imports or scoped ingestion rather than a billing API.
How it worksGoogle Cloud · illustrative connection
- Cost and usage read requests
- Permissions reviewed before connecting
- Coverage follows the provider setup guide
Every provider, every account, one number.
Connect every account separately and StackSpend does the aggregation you do by hand today: one figure for the estate, broken down by provider, account, service and project. Ask what the company spent yesterday and answer it without opening a console.
How it worksProduct examples are illustrative. Usage estimates and provider-reported costs are separate measures; availability varies by connected source.
Explore the data viewWhy is GCP spend hard to control?
- BigQuery billing export contains everything you need, but turning it into a daily monitoring workflow requires writing queries, building dashboards, or scheduling jobs. Most teams never get there.
- Google Cloud Billing budgets provide email and Pub/Sub notifications for actual and forecast thresholds. Those alerts cover Google Cloud, while other vendors remain in separate reporting systems.
- Project sprawl makes aggregation harder. As GCP projects multiply, tracking total spend across all projects manually is slow and error-prone.
Know what you are connecting.
The coverage
- StackSpend connects with a service account, auto-detects your BigQuery billing export tables, and starts processing project-level and service-level costs immediately.
- Daily cost signal in Slack or email. Anomaly detection compares project spend to your baseline. Budget thresholds and pace-to-forecast keep the month visible.
- 90 days of history backfilled on connect so you can see trends and spot anomalies from day one.
The source
Billing and usage from your connected providers. Credential types and permission controls vary by provider.
Provider connection guidesThe limits
Provider reporting and scheduled sync determine freshness. Available history and attribution vary by source; review the setup guide for coverage. Alerts notify your team; they do not block requests or enforce a spending cap.
What we track
- BigQuery billing export
- GCP billing accounts and projects
- Cost by project, service, and SKU
- 90 days of history
- Daily rollups, budget thresholds, and anomaly detection
- Auto-detection of export tables
Who should use StackSpend for GCP?
- Teams that want daily visibility into spend without manually checking billing portals.
- Buyers replacing spreadsheets and fragmented native dashboards with one monitoring workflow.
- Operators who need read-only setup, alerts, and forecasting before overrun becomes month-end reality.
Evaluation checklist
- 01
Start a trial
Open a StackSpend workspace with no credit card required.
- 02
Connect with read-only access
Use the setup guide to connect the provider or workflow with the minimum permissions needed.
- 03
Review the first 90 days
Check history, alerts, anomalies, and forecast so you can decide whether the workflow is worth adopting.
StackSpend alongside BigQuery billing export and Google Cloud Console.
Native tools provide provider-specific reporting and controls. StackSpend adds a shared monitoring workflow across connected sources.
BigQuery billing export and Google Cloud Console
- BigQuery export supports detailed analysis; Cloud Billing budgets separately provide email and Pub/Sub notifications
- Billing exports and budget notifications depend on when usage becomes available in billing data
- Project-level aggregation requires writing queries or using the console manually
- Native budget alerts cover Google Cloud; other vendors need separate connections
StackSpend
- Auto-detects BigQuery export tables — no query writing or custom setup needed
- Daily cost signal for projects and services delivered to Slack or email
- Anomaly detection and budget alerts out of the box
- 90 days of history on connect so trends are visible from day one
Provider documentation checked 30 September 2026: Google Cloud budget alerts
What do you get when you connect GCP?
- Setup time
- Most teams can connect and validate setup in about 5-10 minutes.
- Access model
- Read-only credentials only. StackSpend does not modify provider resources or billing settings.
- Signals
- Daily Slack or email updates, anomaly alerts, and budget tracking in one workflow.
- History and forecast
- Historical spend context plus pace-to-forecast so overruns are visible before month-end.
Check the details before connecting.
Review connection permissions
Read the provider setup guides before sharing credentials.
Provider setup guidesSee the security details
How credentials, tenant isolation and data handling work.
Security and data handlingTalk to the team
Ask about your stack or requirements before connecting.
Contact StackSpendAbout Andrew DayGCP Cost Monitoring, answered
What does StackSpend cover for GCP?
- Works with GCP billing accounts, projects, services, and SKU-level BigQuery billing export data.
- Helps teams that rely on BigQuery billing export instead of manually querying the Cloud Console.
- Uses a service account with read-only billing-export access for setup.
- GCP AI cost monitoring includes Vertex AI and other AI services inside your Google Cloud bill.
What causes GCP costs to spike?
- A BigQuery job scans the entire dataset instead of using partition filters — cost is 10× higher
- Compute Engine instances stay running after a developer forgets to shut them down
- Cloud Run scales to handle a traffic spike and never scales back down
- GCS data transfer between regions accumulates silently across multiple projects
- BigQuery queries started scanning far more data after a dashboard, scheduled query, or analyst workflow changed.
- Cloud Run, GKE, or Compute Engine scaled during a traffic burst and stayed above the previous run rate.
- Vertex AI training, prediction, or model hosting shifted AI spend into the cloud bill.
- A new project or SKU started spending and went unnoticed in the billing export.
What is StackSpend for GCP Cost Monitoring?
StackSpend helps teams searching for a GCP billing dashboard, GCP billing account visibility, or project cost monitoring. It reads BigQuery billing export with read-only access, supports billing-account and project views, and adds daily alerts, anomaly detection, and forecasting.
Can StackSpend monitor a GCP billing account across multiple projects?
Yes. StackSpend is built to monitor GCP billing accounts and project-level costs together so teams can see where Google Cloud spend is coming from.
Do I need BigQuery billing export for GCP cost monitoring?
Yes. StackSpend uses BigQuery billing export because that is the most reliable way to get project, service, and SKU-level billing data out of Google Cloud.
How is this different from the Google Cloud billing dashboard?
The native billing dashboard is useful, but it still leaves teams manually checking cost and explaining changes. StackSpend adds daily monitoring, anomaly alerts, forecasting, and easier project-level follow-up.
Does StackSpend track my Vertex AI spend on Google Cloud?
Yes. StackSpend separates Vertex AI and other AI service spend out of your wider Google Cloud bill and shows it beside your OpenAI, Anthropic, and other model costs. Because it reads BigQuery billing export at the service and SKU level, your Vertex AI spend is broken out clearly rather than blended into general GCP infrastructure — giving you one view of total AI spend.
Can StackSpend forecast my month-end GCP bill?
Yes. StackSpend uses pace-to-forecast to project your month-end Google Cloud spend from daily actuals in your BigQuery billing export, so an overrun is visible early rather than at invoice time. Budget thresholds add alerts at 50%, 80%, and 100% via Slack, email, or webhook, giving you warning before a project runs past its budget.
How do I split my Google Cloud cost by team, product, or environment?
StackSpend breaks your GCP bill down by project, service, and SKU, then lets you tag that spend to a team, product, environment, feature, or customer. Instead of one Google Cloud invoice, you can see what each team or product actually costs across projects — and view GCP alongside AWS, Azure, and your AI providers as one unified total.
Why did my Google Cloud bill spike?
Usually BigQuery scanning more data after a query or dashboard change, autoscaling compute (Cloud Run, GKE, Compute Engine) staying high after a burst, Vertex AI usage, or a new project/SKU. Group the billing export by project, service, and SKU to find the one that moved.
How do I see what is driving an unexpected GCP bill?
Use the BigQuery billing export grouped by project, service, SKU, and label, and compare against your recent baseline. StackSpend connects to the export and flags new high-cost SKUs or projects the day they start spending.
How do I keep GCP from going over budget?
Add a daily cost signal, anomaly detection on the billing export, and pace-to-forecast. StackSpend connects with a read-only service account in about 10 minutes.
For the current provider catalogue, see supported integrations.
Tomorrow morning: your GCP number, in Slack.
Connect GCP today and follow spend, budgets and alerts in one place. Review provider permissions before connecting.