Review BigQuery long-term storage billing
Check BigQuery partition tiers and last-write timestamps before forecasting storage costs. Separate logical and billable bytes without treating metadata as a full bill.
SQL3 min read
Google Cloud cost management
Understand BigQuery charges, commitments, and Vertex AI usage.
7 guides
Check Cloud SQL compute, storage, backup and network charges
Separate Cloud SQL charges from usage charts before choosing a cost change. Review one invoice month and include any separate MySQL enhanced-backup project.
Steps3 min read
Check Cloud Storage protections before counting deletion savings
Review Cloud Storage versioning, soft delete, and locked retention settings before treating deletion as storage savings.
Steps3 min read
Separate job trouble from Dataflow cost
Compare Dataflow job estimates with billed costs, then use Dataflow and Managed Service for Apache Spark metrics to assign performance follow-up without mistaking errors for spend.
Steps3 min read
Reduce BigQuery scans without changing the answer
Review one BigQuery SELECT for unnecessary partition scans. Compare dry-run bytes without dropping required rows or treating clustered-table estimates as final costs.
Steps3 min read
Check your BigQuery target before enabling billing export
Review the dataset and project requirements for Cloud Billing export, including location limits, encryption constraints, project links, and available usage-cost history.
Steps3 min read
Check Cloud Storage transitions before counting savings
Review Cloud Storage lifecycle plans for unsupported transitions, retention blockers, and early-deletion charges before approving expected savings.
Steps4 min read