Review BigQuery reservation autoscale slot seconds by minute
Use reservation timeline metadata to review minute-level autoscale slot seconds for reservations in a selected region over the last day.
SQL5 min read
Google Cloud cost management
Understand BigQuery charges, commitments, and Vertex AI usage.
21 guides
Measure AI cost per successful business outcome
Connect model, retry, evaluation, and supporting-service costs to a quality-qualified business result instead of reporting cost per token alone.
Steps7 min read
Inspect Cloud Storage protection settings safely
Review Cloud Storage versioning, soft delete, retention policies, and project-level billing views with a read-only console procedure.
Steps5 min read
Compare model quality and cost with a repeatable evaluation
Choose a model with the same task set, quality gates, latency measures, usage records, retry policy, and applicable provider pricing.
Steps7 min read
Budget for AI search and tool-call costs
Separate model, grounding, search, session, and provisioned-capacity assumptions so AI workflow budgets remain traceable to provider billing.
Steps6 min read
Compare GPU reservation cost with actual useful work
Compare commitment cost, provider-reported utilization, GPU activity, and locally defined output before changing reserved GPU capacity.
Steps6 min read
Compare AI token prices without mixing token types
Compare Azure OpenAI, Amazon Bedrock, and Vertex AI pricing without blending input, output, cached, batch, and provisioned capacity.
Steps7 min read
Avoid double-counting cloud network charges
Reconcile transfer, processing, gateway, load balancer, and CDN lines by billing function and traffic path, not matching byte totals.
Steps7 min read
Avoid buying cloud commitments from a single busy week
Review historical demand, benefit scope, recent purchases, workload changes, coverage, and utilization before approving a cloud commitment.
Steps6 min read
Review CUD sharing and billing-account scope
Check whether resource-based Compute Engine CUDs are shared at the billing-account level, then review each commitment’s attribution before comparing project costs.
Steps6 min read
Review Google Cloud inter-region transfer costs
Review exported transfer-related billing rows, assign material costs to projects, and verify each SKU against the relevant Google Cloud pricing rules.
Steps6 min read
Understand Cloud NAT and network egress charges
Separate Cloud NAT gateway uptime, processing, IP, connectivity, and logging charges from network data transfer, then trace the related traffic.
Steps5 min read
Triage Dataflow and Spark job patterns
Use read-only Dataflow and Managed Service for Apache Spark monitoring to investigate errors, lag, resource pressure, backlog, and autoscaling limits.
Steps6 min read
Control BigQuery scan costs with pruning and limits
Review BigQuery partition and clustering filters, estimate bytes with a dry run, and prepare a maximum-bytes-billed limit for on-demand queries.
Steps6 min read
Check a BigQuery dataset before enabling Cloud Billing export
Review a BigQuery dataset's location, encryption, project, billing, and API prerequisites before configuring Cloud Billing export.
Steps4 min read
Investigate a cloud bill increase systematically
Trace a cloud bill increase through comparable periods, provider-native cost views, SKU pricing, usage, credits, and allocation checks.
Steps7 min read
Handle currency in multi-cloud cost reports
Keep billing, pricing, and reporting currencies explicit so exchange-rate movement is not mistaken for a change in cloud usage.
Steps6 min read
Review Cloud Storage transitions and retention blockers
Review lifecycle transitions, Autoclass limits, storage-class durations, and retention controls before changing Cloud Storage rules.
Steps5 min read
Right-size Compute Engine with workload context
Review Compute Engine machine-type recommendations against CPU, memory visibility, and the fixed 8-day lookback before resizing a VM.
BASH5 min read
Read FOCUS billed cost versus effective cost for GPU spend
Compare FOCUS BilledCost and EffectiveCost for GPU-oriented analysis, while checking invoice timing, charge timing, currency, service identity, and commitment treatment.
Steps6 min read
Check tag and label allocation readiness across three clouds
Assess Azure, AWS, and GCP metadata controls separately before deciding whether approved billing exports support a comparable allocation percentage.
Steps5 min read