Regional outages are some of the most damaging and hardest-to-detect failures in web infrastructure. When your site is perfectly accessible from Virginia but completely down for users in Germany, single-location monitoring shows a healthy green dashboard while thousands of real users experience errors. Multi-region monitoring is the solution — and it's more nuanced than just "check from more places."
Types of Regional Failures
Understanding what causes regional failures helps you configure monitoring to catch them:
CDN Edge Node Failures
Content delivery networks distribute traffic across hundreds or thousands of edge locations. When an edge node in a specific city or region fails, users routed through that node get errors. Users reaching other edge nodes are unaffected. Without monitoring from within the affected region, the failure is invisible.
BGP Routing Anomalies
Border Gateway Protocol route changes can make specific network paths unreachable from certain providers or geographies. The classic example: a misconfigured route advertisement that makes an entire AS (autonomous system) unreachable from specific ISPs in specific countries.
Regional Cloud Provider Incidents
AWS, Azure, and GCP have regional architectures. An us-east-1 incident doesn't affect eu-west-1. If your primary deployment is in us-east-1 and that region has an issue, only monitoring from us-east-1 confirms it. Monitoring from a different region might reach a fallback or cached version and report healthy.
DNS Resolver Issues
DNS resolution can fail regionally if DNS resolvers in a specific geography can't reach your authoritative nameservers. Users in the affected region get DNS resolution failures; users elsewhere, with cached DNS responses, continue to work normally.
Geoblocking and Firewall Incidents
Government-mandated content blocking, accidental firewall rule changes, or IP reputation issues can block traffic from specific countries. These are difficult to diagnose without monitoring nodes in the affected regions.
Multi-Region Monitoring Architecture
AzMonitor's multi-region architecture distributes monitoring nodes across major internet exchange points globally:
Check Orchestration Layer
↓ distributes to
Regional Monitoring Nodes
├── North America
│ ├── US-East (Virginia)
│ ├── US-West (Oregon)
│ ├── US-Central (Iowa)
│ └── Canada (Toronto)
├── Europe
│ ├── EU-West (Ireland)
│ ├── EU-Central (Frankfurt)
│ ├── EU-North (Stockholm)
│ └── EU-South (Milan)
├── Asia-Pacific
│ ├── AP-Southeast (Singapore)
│ ├── AP-Northeast (Tokyo)
│ ├── AP-South (Mumbai)
│ └── AP-Southeast-2 (Sydney)
└── Others
├── South America (São Paulo)
└── Africa (Cape Town)
Each node runs checks independently. Results are correlated centrally to determine global vs. regional failure patterns.
Alert Logic for Multi-Region Monitoring
The alert logic for multi-region checks is more sophisticated than single-location checks:
All locations fail → GLOBAL OUTAGE (highest severity)
→ Alert: "Service is down globally"
Majority of locations fail (>50%) → MAJOR OUTAGE
→ Alert: "Service is down in most regions"
Specific region fails → REGIONAL OUTAGE
→ Alert: "Service is down in [EU-Central, EU-West]"
One location fails → POTENTIAL LOCAL ISSUE
→ Log for review, do not alert
→ If same location fails 3 consecutive checks → Alert as possible regional issue
This logic ensures you get appropriately scoped alerts — a "EU is down" alert is much more actionable than a generic "monitoring check failed" alert.
Configuring Region Groups
Effective multi-region monitoring groups locations by geographic and network relevance:
| Group | Locations | Use Case | |-------|-----------|----------| | North America | US-East, US-West, US-Central, Canada | Serve primarily NA users | | Europe | EU-West, EU-Central, EU-North | EU-focused services or GDPR data residency | | Asia-Pacific | Singapore, Tokyo, Mumbai, Sydney | APAC-focused services | | Global | All locations | Globally distributed services |
Configure alert thresholds per group: "Alert if 2+ EU locations fail consecutively" catches European CDN failures without triggering on single-node issues.
Interpreting Regional Performance Data
Multi-region monitoring provides performance data (not just availability) from each location. This reveals:
Latency asymmetry: Your site responds in 80ms from the US but 450ms from Singapore. This indicates an opportunity for CDN optimization in APAC, not necessarily a failure.
Regional performance degradation: All EU checks were at 120ms baseline, now showing 800ms. CDN or origin is experiencing issues specifically in Europe.
Consistent global slowdown: All regions show increased latency. Likely an origin server issue affecting all traffic.
Single-region anomaly: One monitoring location consistently shows different response times than its neighbors. Likely an issue with that monitoring node's network path, not your service.
Case Study: Catching an Invisible Regional Failure
A SaaS company using single-location monitoring had a CDN configuration change that invalidated authentication cookies for users in Germany. German users couldn't log in. The company's monitoring (from Virginia) was unaffected because the cookie issue only manifested in the Cloudflare EU region.
The failure was discovered 4 hours later when German customers sent enough support tickets to trigger investigation.
With AzMonitor's multi-region monitoring, the EU monitoring nodes would have detected failed authentication checks within 2 minutes of the CDN misconfiguration. The alert would have specified "EU region authentication failure," pointing engineers directly at the CDN configuration.
Setting Up Multi-Region Monitoring in Practice
Step 1: Identify your user geographies — where do your users come from? Prioritize monitoring nodes in those regions.
Step 2: Configure check groups by region — don't just add all global locations; organize them into logical groups matching your infrastructure and user distribution.
Step 3: Set region-aware alert thresholds — a regional failure might warrant a different severity level than a global failure. Configure escalation paths accordingly.
Step 4: Include region data in alerts — ensure your alert messages include which regions are failing. "Service down" is less useful than "Service down in EU-Central and EU-West."
Step 5: Monitor your own infrastructure regions — if you're on AWS, add monitoring nodes in the same AWS regions as your deployments. This gives you the most representative view of what your users in those regions experience.
AzMonitor's 20+ global monitoring locations cover all major user geographies, with region-grouped alert logic built in. Start monitoring globally and see your service through your users' eyes worldwide.
See also our guide to global monitoring locations for more on how location selection affects monitoring accuracy.
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