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
Azure cost management
Understand reservations, unused resources, and Azure OpenAI charges.
24 guides
Find idle Azure Machine Learning inference capacity
Review low-demand managed online deployments and compute-cluster floors without treating low utilization as permission to remove capacity.
Steps7 min read
Compare Azure OpenAI provisioned and standard deployment costs
Compare standard token billing with provisioned throughput using workload shape, cache rate, PTU sizing, deployed hours, and current Azure rates.
Steps7 min read
Review Azure EA and MCA commitment scope
Review reservation and savings plan scopes for Azure Enterprise Agreement and Microsoft Customer Agreement commitments before changing who can consume the benefit.
Steps6 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
Check Cosmos DB hot partitions before reducing RUs
Use Normalized RU Consumption, 429s, and partition-key RU logs to spot concentrated load before changing provisioned throughput.
KQL5 min read
Check Azure Front Door request and transfer costs
Reconcile Front Door profile, request, edge-to-origin, and edge-to-client charges with cache behavior.
Steps6 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
Review Azure inter-region data transfer costs
Classify Azure transfer charges by path, billing component, region, peering, replication, gateway, and service-specific behavior.
Steps7 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
Allocate shared Azure platform costs transparently
Use Azure cost allocation rules for shared services while keeping allocated reporting separate from invoice reconciliation and billing responsibility.
Steps7 min read
Find costly Azure Data Factory activity patterns
Compare Azure Data Factory meter consumption with pipeline and activity runs to focus a design review on recurring orchestration, copy, or data-flow usage.
Steps8 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
Understand Azure Backup storage and retention charges
Trace Azure Backup protected-instance and storage charges to vault redundancy, retention policies, snapshots, and retained recovery points.
Steps8 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
Find Azure SQL database capacity worth reviewing
Use supported Azure SQL metrics to identify provisioned databases that deserve a sizing review without assuming low CPU means excess capacity.
Steps6 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
Check Azure VM power states against compute charges
Use Azure VM instance view to compare the latest power-state code with Azure’s instance-usage billing guidance, without changing the VM.
Steps4 min read
Review AKS cluster and namespace cost allocation
Compare documented Prometheus and AKS Cost Analysis scopes without treating dashboard names as proof of specific capacity or usage metrics.
Steps5 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
Find unattached Azure managed disks
Use a read-only Azure CLI command to list managed disks with no VM reference in a selected subscription. Review results before changes.
BASH3 min read