Working notes for the people who build, run and pay for software. Clear methods, useful checklists and a source for every provider-specific claim.
Cloud & AI cost guides / 01—09Find why AWS cost totals differ. Check billing periods, account scope, credits, cost basis and data freshness before trusting a savings recommendation.
Read the guideBuild an AI cost review that separates provider billing from token estimates, assigns project ownership and measures cost per successful outcome.
Read the guideBuild a cost allocation policy across cloud and AI providers. Define owners, shared costs, unallocated spend and a monthly showback review.
Read the guideChoose the right AWS cost basis for bill checks and operating reviews. Keep commitments, discounts and period boundaries explicit.
Read the guideUse budgets and anomaly alerts together. Define scope, thresholds, response ownership and data freshness without mistaking alerts for spend caps.
Read the guideA practical investigation sequence for rising AI API costs: billing scope, useful work, retries, token length, model changes and verification.
Read the guidePrepare a monthly FinOps review with a clear scope, explained changes, owners and follow-up actions. Includes a free PDF guide with a worked example.
Read the guideEvaluate AI prompt caching and batch processing using separate token categories, current rates, accepted outcomes and operational constraints.
Read the guideTurn unallocated cloud and AI spend into a manageable exception queue. Distinguish missing metadata, shared services and overlapping rules.
Read the guideWe publish practical methods and link to provider documentation for technical facts. Examples and formulas describe a method, not customer results. Product capabilities are identified separately. No savings percentage is guaranteed.