Azure cost guides
Use this hub when the Azure-specific billing boundary matters more than the generic category page.
What this hub helps you decide
Use this page to choose the next Azure guide when you know the provider matters, but the exact cost path is still blurry.
- Pick the guide by boundary problem first, not by SKU keyword alone.
- Move to the calculator when you already have measurable drivers and pricing assumptions.
- Use the deeper service page once the billing path is specific enough to model directly.
Azure-specific estimate failures
Azure estimates break fastest when internet egress, private backbone paths, and premium SKU baselines are blended into one number too early.
- Networking models mix internet egress, regional traffic, and private connectivity before separating destinations.
- Managed service estimates ignore premium tier baselines, reserved throughput, or feature-gated add-ons.
- Observability costs are treated as tiny side items even when ingestion and retention are becoming first-order drivers.
- Retry-heavy event and API workloads are budgeted from successful requests only.
Best first routes inside Azure
Networking and edge
Start here when bandwidth, Front Door, CDN, Application Gateway, or Private Link boundaries are likely to move the bill.
Observability and operations
Start here when Log Analytics, Application Insights, or Azure Monitor metrics are quietly growing faster than the main workload.
Containers and managed platforms
Start here when AKS, Functions, Event Hubs, or registry workflows have surrounding costs that a generic category page will not expose.
Fast-moving Azure pricing pages
These Azure service guides are already proving they can attract search demand, so they should stay visible here as direct next steps instead of relying only on category lists.
Azure Container Registry pricing
Estimate storage, pull behavior, and geo-replication before registry throughput spikes.
Azure Load Balancer pricing
Keep L4 hours, traffic processed, and billed egress separate before comparing architectures.
Azure Event Hubs pricing
Model throughput, retention, replay exposure, and downstream pipeline multipliers together.
Networking and delivery
Use these when egress destinations, backbone paths, gateways, and delivery layers are the real cost boundary.
Azure API Management pricing: model requests, transfer, and log volume
A practical API Management estimate: request volume, response transfer, and logs/observability. Includes a checklist to validate retries, payload size, and usage tiers.
Azure Application Gateway pricing: how to model L7 load balancer costs
Model Application Gateway costs using measurable drivers: hours, request volume, traffic processed, WAF, and logs - plus a validation checklist.
Azure Blob Storage pricing: a practical cost model
Model Azure Blob Storage cost without copying price tables by separating GB-month, operations, redundancy, retrieval, and egress, with clearer guidance for replication-heavy and access-heavy workloads.
Azure CDN pricing: estimate bandwidth, requests, and cache fill
A practical Azure CDN estimate: edge bandwidth, request volume, and origin egress (cache fill). Includes validation steps for hit rate, purge behavior, and big endpoints.
Azure Container Registry Pricing Guide: ACR Cost by Tier and Usage
Model Azure Container Registry cost from storage, pull volume, and egress. Compare Basic, Standard, and Premium with practical calculator-ready inputs.
Azure Cosmos DB pricing: a practical estimate (RU/s, storage, and egress)
A driver-based Cosmos DB estimate: RU/s capacity, stored GB, and data transfer. Includes a workflow to validate RU drivers and avoid underestimating burst, hot partitions, and retries.
Azure Egress Cost Guide: Bandwidth, Pricing, and Outbound Data Transfer
Estimate Azure egress cost with a practical method for outbound bandwidth, destination boundaries, and double-counting checks. Built for Azure egress cost calculator and pricing workflows.
Azure Event Hubs Pricing Guide: Throughput, Retention, Replay, and Egress
Estimate Azure Event Hubs cost from throughput, ingress volume, retention, replay multipliers, and egress, with a practical checklist for validating burst traffic and downstream replay risk.
Azure Front Door pricing: model requests, bandwidth, and origin traffic
A practical Azure Front Door cost model: edge bandwidth, request volume, logging, and origin traffic (cache fill). Includes a checklist to validate hit rate and avoid double-counting egress.
Azure Kubernetes Service (AKS) pricing: what to include
AKS cost is more than node VMs: include node pools, networking/egress, storage, and observability. Use this checklist-style model to estimate safely.
Azure Load Balancer pricing: L4 traffic and data processing model
A practical cost model for Azure Load Balancer: hours, data processed, and egress boundaries. Includes a workflow to estimate GB processed from RPS and payload size, plus a validation checklist for peaks and retries.
Azure NAT Gateway cost: model hours, GB processed, and the real spike drivers
A practical Azure NAT Gateway estimate: hourly baseline, GB processed, and the common multipliers (retries, image pulls, dependency storms). Includes a validation checklist and cost-reduction levers.
Azure Private Link costs: model endpoint-hours, data processed, and trade-offs vs NAT
A practical Private Link estimate: endpoint-hours baseline plus data processed (GB). Includes a workflow to count endpoints, model traffic through them, and validate DNS/routing so you don't pay for both private and NAT paths.
Azure Service Bus pricing: estimate messaging cost from operations, retries, and payload
A practical Service Bus estimate: message volume, deliveries/retries, fan-out, and payload transfer. Includes a workflow to model baseline vs peak and validate the real multipliers (timeouts, DLQ replays, and subscription expansion).
Azure SQL Database pricing: a practical estimate (compute, storage, backups, transfer)
Model Azure SQL Database cost without memorizing price tables: compute baseline (vCore/DTU), storage GB-month + growth, backup retention, and network transfer. Includes a validation checklist and common sizing traps.
Runtime, platform, and data services
Use these when managed runtime choice, Kubernetes overhead, registry behavior, or service-tier baselines drive the answer.
Azure Blob Storage pricing: a practical cost model
Model Azure Blob Storage cost without copying price tables by separating GB-month, operations, redundancy, retrieval, and egress, with clearer guidance for replication-heavy and access-heavy workloads.
Azure Container Registry Pricing Guide: ACR Cost by Tier and Usage
Model Azure Container Registry cost from storage, pull volume, and egress. Compare Basic, Standard, and Premium with practical calculator-ready inputs.
Azure Cosmos DB pricing: a practical estimate (RU/s, storage, and egress)
A driver-based Cosmos DB estimate: RU/s capacity, stored GB, and data transfer. Includes a workflow to validate RU drivers and avoid underestimating burst, hot partitions, and retries.
Azure Functions pricing: what to include in a realistic estimate
A practical Azure Functions cost model: invocations, duration/memory, networking, and log volume - plus a validation checklist to catch retries, cold starts, and chatty dependencies.
Azure Key Vault pricing: estimate operations, keys/secrets, and request spikes
A practical Key Vault cost model: baseline objects (keys/secrets/certs) plus operation volume. Includes a workflow to map traffic to Key Vault calls and validate caching, retries, and hot-path mistakes.
Azure Kubernetes Service (AKS) pricing: what to include
AKS cost is more than node VMs: include node pools, networking/egress, storage, and observability. Use this checklist-style model to estimate safely.
Azure Load Balancer pricing: L4 traffic and data processing model
A practical cost model for Azure Load Balancer: hours, data processed, and egress boundaries. Includes a workflow to estimate GB processed from RPS and payload size, plus a validation checklist for peaks and retries.
Azure Log Analytics pricing: ingestion, retention, and query costs
A practical model for Log Analytics-style costs: GB ingested, retention storage, and query/scan behavior. Includes a method to estimate log GB from event rate and payload size, plus a validation checklist for high-volume sources.
Azure SQL Database pricing: a practical estimate (compute, storage, backups, transfer)
Model Azure SQL Database cost without memorizing price tables: compute baseline (vCore/DTU), storage GB-month + growth, backup retention, and network transfer. Includes a validation checklist and common sizing traps.
Observability, messaging, and security
Use these when logs, metrics, ingestion throughput, or security-oriented request paths are the reason the budget no longer fits.
Azure API Management pricing: model requests, transfer, and log volume
A practical API Management estimate: request volume, response transfer, and logs/observability. Includes a checklist to validate retries, payload size, and usage tiers.
Azure Application Gateway pricing: how to model L7 load balancer costs
Model Application Gateway costs using measurable drivers: hours, request volume, traffic processed, WAF, and logs - plus a validation checklist.
Azure Application Insights pricing: ingestion volume, sampling, and retention
A practical Application Insights estimate: telemetry volume (GB), sampling, retention, and query scans. Includes validation steps to prevent ingest spikes during incidents.
Azure CDN pricing: estimate bandwidth, requests, and cache fill
A practical Azure CDN estimate: edge bandwidth, request volume, and origin egress (cache fill). Includes validation steps for hit rate, purge behavior, and big endpoints.
Azure Event Hubs Pricing Guide: Throughput, Retention, Replay, and Egress
Estimate Azure Event Hubs cost from throughput, ingress volume, retention, replay multipliers, and egress, with a practical checklist for validating burst traffic and downstream replay risk.
Azure Front Door pricing: model requests, bandwidth, and origin traffic
A practical Azure Front Door cost model: edge bandwidth, request volume, logging, and origin traffic (cache fill). Includes a checklist to validate hit rate and avoid double-counting egress.
Azure Functions pricing: what to include in a realistic estimate
A practical Azure Functions cost model: invocations, duration/memory, networking, and log volume - plus a validation checklist to catch retries, cold starts, and chatty dependencies.
Azure Key Vault pricing: estimate operations, keys/secrets, and request spikes
A practical Key Vault cost model: baseline objects (keys/secrets/certs) plus operation volume. Includes a workflow to map traffic to Key Vault calls and validate caching, retries, and hot-path mistakes.
Azure Log Analytics pricing: ingestion, retention, and query costs
A practical model for Log Analytics-style costs: GB ingested, retention storage, and query/scan behavior. Includes a method to estimate log GB from event rate and payload size, plus a validation checklist for high-volume sources.
Azure Monitor metrics pricing: estimate custom metrics, retention, and API calls
A practical metrics cost model: time series count, sample rate, retention, and dashboard/alert query behavior. Includes validation steps to avoid high-cardinality mistakes.
Azure NAT Gateway cost: model hours, GB processed, and the real spike drivers
A practical Azure NAT Gateway estimate: hourly baseline, GB processed, and the common multipliers (retries, image pulls, dependency storms). Includes a validation checklist and cost-reduction levers.
Azure Service Bus pricing: estimate messaging cost from operations, retries, and payload
A practical Service Bus estimate: message volume, deliveries/retries, fan-out, and payload transfer. Includes a workflow to model baseline vs peak and validate the real multipliers (timeouts, DLQ replays, and subscription expansion).
When to skip this hub
- If the real issue is generic egress, logging, or storage math, start from the broader category guide first.
- If you already know the exact Azure service and billing unit, go to the service page directly.
- If you already have inputs, use Azure calculators first and come back for boundary review.