CAPACITY / COMPASS Customer journey
Azure capacity / An interactive journey

Build beyond
the bottleneck.

Your ambitions deserve an architecture with options. Discover how to plan, adapt, and grow when cloud capacity is a moving target.

Self-guided15 stopsPublic sources only

No presenter needed. Use Next, the arrow keys, or Journey to jump anywhere. On smaller screens, scroll within each stop.

Five chapters / Your pace

A journey.
Not a slide marathon.

Follow the story from the beginning, or jump straight to a decision you need to make.

All simulations are fictional. Nothing in this tour queries your Azure environment, reserves resources, submits requests, or reports live regional capacity.

01 / Capacity fundamentals

Permission
is not placement.

Three concepts. Three different questions. One deployment depends on all of them.

01

Quota

"How much may my subscription deploy?"

A scoped limit
02

Capacity

"Can the infrastructure meet this exact request?"

SKU, region, zone, constraints
03

Allocation

"Can Azure place the resources when I deploy?"

A deployment-time outcome
A product can be offered in a region and your quota can be approved, while the requested allocation still fails. Availability is not a promise of capacity.

Public reference: VM quota and capacity

01 / A hands-on thought experiment

Two gates.
Try the limits.

VM compute needs headroom in both its family quota and its total regional vCPU quota.

64new vCPUs
VM-family quota usage224of 256 vCPUs
VM-family
160 existing / 256 limit
Total regional quota usage664of 1,000 vCPUs
Regional total
600 existing / 1,000 limit

Fictional values. This model omits other quotas, policies, SKU restrictions, and placement checks. Deallocated VMs can still count toward vCPU quota.

Public reference: Check vCPU quotas

01 / A crucial distinction

Same word.
Different promise.

A billing reservation and a capacity reservation solve different problems. Select a card to see the distinction.

Public reference: Capacity reservation behavior, support, billing, and SLA

01 / Capacity for AI workloads

Not all capacity
speaks vCPUs.

Capture model/version, deployment type, region, workload shape, and processing-location requirements before you size.

Deployment location alone does not establish where inference is processed. Verify current data-processing rules for the exact model and deployment type.

Unused PTU quota does not guarantee deployable model capacity. For provisioned throughput, create the deployment before purchasing matching billing-reservation coverage.

Public references: Provisioned throughputDeployment types and processing locations

02 / Start a better conversation

Constraints aren't
the end of the story.
They're design inputs.

Ask what must remain fixed, what can change, and what evidence is still missing. Never trade compliance for convenience.

Place

Approved regions, zones, residency, latency, dependencies.

Shape

Compatible SKU, model/version, features, performance.

Pace

Initial demand, peak demand, launch date, growth ramp.

Protection

Reliability targets, failover readiness, supported reservations.

A useful commitment: "Let's validate the exact configuration and agree a compliant fallback, an owner, and the next checkpoint."
02 / Interactive design-space explorer

More options.
Same hard boundaries.

1candidate configurations
to validate

P = preferred SKU; C = compatible alternate. Every highlighted candidate still needs performance, dependencies, quota, and live capacity validation.

A + B: inside the fictional boundaryC: excluded

These are fictional regions and configurations, not an Azure availability map. Highlighted means "candidate to evaluate," not "capacity available."

Public references: Allocation constraints and alternativesRegion selection and trade-offs

02 / Design for the day you need it

A second region
is not a recovery plan.

Resilience needs more than a location. Validate capacity, replication, routing, dependencies, and failover procedures.

Fictional two-region recovery routing diagram Your usersrequest traffic Routinghealth + policy Region Aprimary Region Breadiness unverified data

A conceptual simulation, not a service-specific failover design. The readiness switch assumes verified capacity and tested recovery for illustration only. Define and test your actual RTO/RPO.

Public reference: Multi-region options and trade-offs

03 / Public processes, tools & resources

Resolve
the right problem.

Choose the evidence you have. A quota request, allocation investigation, and growth plan are not interchangeable.

01
Classify

Exact service, configuration, scope, quota/usage, and error.

02
Prepare

Demand with units, impact, dates, constraints, alternatives.

03
Request and track

Use the supported public portal route. Record the request ID.

04
Revalidate

Agree ownership and recheck before committing or deploying.

Permissions, subscription eligibility, and support-plan requirements apply. Approval and support response times vary; neither a submitted ticket nor a quota increase guarantees allocation.

03 / From concern to a precise request

Clarity is
a force multiplier.

Replace "we need more capacity" with a request someone can investigate.

"We need [total demand + units] for [exact configuration] in [region/zone] by [date]. Our current quota/usage is [values]. Here is the error, impact, and the alternatives we can accept."

Use your authorized Azure support channel for resource identifiers and diagnostic evidence. Do not put credentials, secrets, or unnecessary personal information in requests.

ScopeSubscription, service, SKU or model/version, deployment type, region/zone.
DemandCurrent usage, approved limits, additional demand, requested total, peak and dates.
EvidenceExact error, timestamp, correlation ID, relevant configuration, prior request ID.
ChoicesHard requirements, allowed alternatives, technical trade-offs and impact.
Follow-upAccountable owner, next update, and revalidation checkpoint.

Public reference: Create an Azure support request

04 / You are in the decision room

Your launch.
Your next move.

Explore any answer. You can change your decision, switch situations, or move on at any time.

04 / Keep these distinctions

Three reframes.
Better decisions.

Select each card to reveal the planning principle behind it.

Architecture does not remove uncertainty. It creates informed, compliant ways to respond to it.
05 / Conclusion and next steps

Leave with
a plan. Not a promise.

Select what you have prepared. Export a checklist for the next architecture conversation; it is not a live readiness assessment.

0 / 6 preparedSelections stay only in this open page. No customer details are collected.

Agree an owner, next update, and capacity revalidation checkpoint in your own planning system.

05 / Public resources to keep

Confidence comes
from current evidence.

Public documentation reviewed 15 November 2026. Examples and orbital artwork are original and illustrative. The Azure icon is an official Microsoft asset. This is an independent educational experience, not an Azure availability dashboard or service commitment. No analytics, external fonts, remote scripts, or live capacity calls. Public links require internet; your own Azure resources require authorized access.

Azure icon from the official Azure Architecture Center collection, used unchanged for training. Microsoft icon terms.

Built with Reveal.js 6.0.2, MIT license. Local third-party license: Reveal.js license.

Your journey

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Your planning checklist

Select the text to copy. This is a preparation aid, not an assessment of your Azure environment.