Choose cloud locations by separating geographic regions, isolated zones, edge locations, and the failure domains they create.
What you will be able to do
- Explain the five core cloud decisions involved in regions zones and edge locations.
- Choose a cloud resource or configuration that matches a stated workload requirement.
- Interpret provider state, workload behavior, and operational evidence before changing broader cloud state.
- Apply an inventory, select, configure, verify, recover, and document workflow to a realistic cloud decision.
01
Build the Cloud Decision Map
Choose cloud locations by separating geographic regions, isolated zones, edge locations, and the failure domains they create.
Cloud services combine provider-managed layers with customer-controlled configuration. A useful design keeps workload need, resource scope, identity, network path, data, health, cost, and recovery visible instead of relying on a product name.
Start with an inventory and read-only evidence. Record the account or project, location, resource identifier, owner, configuration source, dependencies, expected behavior, and current observation before changing state.
02
Region placement
A region is a provider-defined geographic area that contains cloud infrastructure and service locations. It answers one distinct architecture or operating question within regions zones and edge locations.
Choose a region from latency, service availability, compliance, and recovery requirements. Keep the target, location, identity, configuration, and observed outcome together so another person can reproduce the reasoning.
Respect this boundary: Do not choose a region only because its name appears closest on a map. The expected evidence is the region choice records every governing requirement.
03
Zone placement
A zone is a distinct location inside a region and acts as a separate failure domain for zonal resources. It answers one distinct architecture or operating question within regions zones and edge locations.
Place redundant instances across supported zones when one-zone failure must be tolerated. Keep the target, location, identity, configuration, and observed outcome together so another person can reproduce the reasoning.
Respect this boundary: Do not call several instances in one zone a multi-zone design. The expected evidence is the resource inventory shows the intended zone distribution.
04
Edge delivery
An edge location brings selected delivery or network functions closer to users without becoming the workload's primary region. It answers one distinct architecture or operating question within regions zones and edge locations.
Use edge delivery when cached content or connection handling benefits from proximity. Keep the target, location, identity, configuration, and observed outcome together so another person can reproduce the reasoning.
Respect this boundary: Do not assume an edge cache changes the data residency of the origin. The expected evidence is requests use the edge while the origin remains documented.
05
Failure domain
A failure domain identifies infrastructure that can be disrupted by the same underlying event. It answers one distinct architecture or operating question within regions zones and edge locations.
Trace every critical dependency to its region, zone, and shared service boundary. Keep the target, location, identity, configuration, and observed outcome together so another person can reproduce the reasoning.
Respect this boundary: Do not count replicas as independent when they share the same failure domain. The expected evidence is the dependency map exposes each shared failure boundary.
06
Location decision
A location decision balances user experience, resilience, legal constraints, service support, and cost. It answers one distinct architecture or operating question within regions zones and edge locations.
Test a small workload from representative user locations before final placement. Keep the target, location, identity, configuration, and observed outcome together so another person can reproduce the reasoning.
Respect this boundary: Stop when residency, availability, or recovery evidence is missing. The expected evidence is the decision includes measurements, constraints, and a fallback location.
07
Verify One Cloud Change
Before changing cloud state, name the exact resource, required authorization, user impact, expected signal, cost effect, and recovery path. Preview the scope with an inventory or policy view and protect data or configuration that cannot be recreated safely.
Make one narrow change and stop. If the provider response, location, identity, dependency, or effective configuration differs from the plan, preserve that evidence and reassess instead of adding unrelated changes.
A successful API response or portal notification proves only that an operation was accepted. Repeat the original workload path, inspect health and security signals, verify the resulting resource state independently, and remove temporary access or test resources.
08
Recap Before Practice and Prove
Start with region placement. Choose a region from latency, service availability, compliance, and recovery requirements. Confirm that the region choice records every governing requirement.
Keep zone placement separate. Place redundant instances across supported zones when one-zone failure must be tolerated. Respect this boundary: do not call several instances in one zone a multi-zone design.
Use edge delivery as its own decision. Use edge delivery when cached content or connection handling benefits from proximity. Preserve the resulting evidence.
Before a broader change, review failure domain. Trace every critical dependency to its region, zone, and shared service boundary. Stop when do not count replicas as independent when they share the same failure domain.
Finish with location decision. Test a small workload from representative user locations before final placement. Record the final state, health signal, recovery boundary, owner, and next decision.