| 1 |
Place workloads close to users |
Choose a region near the largest user population, while considering data-residency requirements. |
Same metropolitan area: commonly under 10 ms; same broad region: about 10–50 ms. |
Confirm that the required compute, storage, database, and networking services exist in the selected region. |
User distribution, application response-time targets, regional pricing, and available instance types. |
Map user traffic by country and test from representative networks before purchasing. |
| 2 |
Measure latency instead of guessing |
Evaluate the complete route between users, application servers, databases, and third-party APIs. |
Cross-continent connections often range from approximately 80–250 ms RTT, depending on route and congestion. |
Check whether monitoring data is collected from multiple countries and access networks. |
Median and 95th-percentile latency, packet loss, jitter, peak-hour performance, and routing stability. |
Run TCP, TLS, and application-level tests; a basic ping alone is not sufficient. |
| 3 |
Separate regions from availability zones |
A region is a geographic area; availability zones are isolated facilities or infrastructure groups within a region. |
Traffic between zones is usually lower latency than traffic between distant regions, but is not latency-free. |
Verify the number of independent zones and whether power, cooling, and network paths are physically separated. |
Zone independence, synchronous-replication feasibility, cross-zone charges, and failure-domain design. |
Deploy production workloads across at least two independent zones when the service supports it. |
| 4 |
Check service availability by region |
Newer or smaller regions may offer fewer managed databases, AI services, edge locations, or compliance features. |
A nearby region is not useful if critical services must be accessed from a distant location. |
Review the provider's regional service matrix, quotas, maintenance policy, and regional outage history. |
Required products, version parity, regional limits, backup support, and disaster-recovery options. |
Create a region-by-service checklist and validate it with a small proof of concept. |
| 5 |
Treat uptime targets as design inputs |
A single region can experience facility, network, or control-plane incidents; multi-region design reduces concentration risk. |
Active-active multi-region designs add inter-region latency and data-consistency considerations. |
A 99.9% monthly availability target permits about 43.2 minutes of downtime; 99.99% permits about 4.3 minutes. |
SLA exclusions, service credits, planned maintenance, dependency coverage, and measurement method. |
Match the architecture to the required RTO and RPO instead of relying on the SLA alone. |
| 6 |
Validate internet and private connectivity |
Regional hosting quality depends on submarine cables, transit providers, exchange points, and private network paths. |
Two locations with similar distance can have materially different RTT because network routes are not always direct. |
Check redundant carriers, private connectivity options, DDoS protection, and documented network maintenance procedures. |
Carrier diversity, route redundancy, egress capacity, packet loss, and failover behavior. |
Test from mobile, broadband, and enterprise networks in each priority market. |
| 7 |
Plan for data residency and transfer rules |
Some jurisdictions require personal, financial, health, or public-sector data to remain in a defined territory. |
Keeping data near users can improve latency, but replication across borders may create legal and operational exposure. |
Confirm where primary data, replicas, backups, logs, support data, and encryption keys are stored. |
Legal entity location, subprocessors, transfer mechanisms, retention controls, and deletion procedures. |
Obtain legal and compliance approval before enabling cross-border replication or support access. |
| 8 |
Compare total cost, not hourly compute alone |
Regional prices vary because of power, real estate, taxes, currency, capacity, and local infrastructure costs. |
A cheaper region may increase application, database, API, or support latency. |
Include the cost of standby capacity, backups, cross-zone traffic, multi-region replication, and failover testing. |
Compute, storage, requests, egress, support, observability, reserved capacity, taxes, and currency exposure. |
Build a 12-month cost model using expected traffic and a realistic disaster-recovery scenario. |
| 9 |
Review support coverage across time zones |
A local data center does not automatically mean local-language support, local engineers, or in-region incident response. |
Support delays can extend effective recovery time even when network latency is low. |
Confirm 24/7 coverage, severity-based response targets, escalation paths, and status-page communication. |
Response time, resolution targets, technical account coverage, incident reports, and language availability. |
Request the support policy in writing and test the escalation process before production launch. |
| 10 |
Test failover and service portability |
A resilient global design should be able to move traffic or restore data in another approved region. |
Failover can increase RTT if users are temporarily served from a distant region. |
Verify backup restoration, DNS or traffic-manager behavior, quotas, IP changes, and dependency recovery. |
RTO, RPO, export formats, infrastructure portability, automation, recovery testing, and exit costs. |
Perform scheduled failover exercises and document the actual recovery time and data loss. |