24 - Health Endpoint Monitoring Pattern (Monitor your service and its dependencies!)
Stop waiting for users to tell you something is broken. The Health Endpoint Monitoring pattern puts you on the front foot with proactive, application-level health checking.
What You’ll Learn
- The Health Endpoint Monitoring pattern as defined in the Azure Architecture Center
- How to design a health endpoint that checks downstream dependencies: databases, storage layers, APIs, and microservices
- Responding with HTTP status codes and structured JSON payloads to convey granular health state (e.g., database latency, worker availability)
- Implementing red/amber/green health classifications rather than simple binary up/down checks
- Key design considerations:
- Caching: balancing freshness vs. added load during incidents
- Security: avoiding information leakage through health endpoint responses
- DoS risk: health checks can amplify load during outages—design accordingly
- Aggregation: composing microservice health endpoints into a system-level view
- When this pattern complements (rather than replaces) Azure Monitor and Application Insights
Relationship to Other Patterns
The Health Endpoint Monitoring pattern pairs naturally with the Circuit Breaker and Retry patterns. Detecting degradation via health checks enables automated remediation workflows and supports SLA reporting across your distributed architecture.
Related Content
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