Platform¶
The Platform section explains the Azure foundations that shape nearly every workload decision: resource hierarchy, landing zones, identity, networking, compute, data, integration, observability, resilience, and cost.
Why platform decisions come first¶
[Documented] Azure architectures are constrained by management hierarchy, control boundaries, regional placement, and governance mechanisms long before application code matters.
[Inferred] Teams that skip platform fundamentals usually rediscover them later through incidents, policy drift, and expensive redesigns.
Topics covered¶
| Topic | Primary question |
|---|---|
| Azure Architecture on Azure | How Azure organizes global infrastructure and resource control |
| Resource Organization | How to shape management groups, subscriptions, resource groups, naming, and tags |
| Landing Zones Basics | What shared platform baselines should exist before workloads scale |
| Identity and Governance Foundations | How access, policy, and privilege boundaries are enforced |
| Network Topology Basics | Which connectivity model best fits the estate |
| Compute Selection Basics | Which compute family matches the workload and team |
| Data Selection Basics | Which data store family fits consistency, scale, and latency needs |
| Integration Selection Basics | Which messaging or eventing mechanism fits the interaction pattern |
| Observability Foundations | How to make workloads measurable and supportable |
| Resilience and Region Strategy | How region design should align to RTO and RPO targets |
| Cost Model Basics | How Azure pricing mechanics influence architecture decisions |
Concept map¶
flowchart TD
A[Platform Foundations] --> B[Organization and Landing Zones]
A --> C[Identity and Governance]
A --> D[Networking]
A --> E[Compute, Data, Integration]
A --> F[Observability]
A --> G[Resilience]
A --> H[Cost] How to read this section¶
Recommended order for most readers:
- Azure structure and control plane basics
- Resource hierarchy and landing zones
- Identity and governance
- Network topology
- Compute, data, and integration selection
- Observability, resilience, and cost
What this section optimizes for¶
- [Documented] Microsoft Learn aligned terminology and architecture fundamentals
- [Inferred] platform choices that remain stable across many workload types
- [Validated] early identification of ownership and guardrail requirements
- [Correlated] awareness that cost, security, reliability, and operability interact from the start
What this section avoids¶
This section is intentionally not a deep service tutorial.
It does not try to cover:
- portal setup sequences
- full deployment examples for each service
- runtime tuning detail for specific SKUs
- feature matrices better maintained in product documentation
Microsoft Learn anchors¶
Takeaway¶
[Inferred] Strong workload architecture usually starts with boring platform clarity.
Use this section to establish the shared Azure decisions that every later pattern and workload baseline will inherit.