Expose a safe endpoint for liveness, readiness or dependency checks.
Health Endpoint Monitoring
Expose functional health checks that external monitoring can call regularly. Checks should distinguish basic process liveness from readiness and dependency health without leaking sensitive details.
How can operators and automation verify that an application and its important dependencies are functioning?GateSift summary based on Microsoft Azure Architecture Center guidance. The wording, visualization, Azure mapping and analyzer context are original GateSift material.
How Health Endpoint Monitoring works
External monitoring calls a dedicated endpoint that verifies the service and its critical dependencies.
Evaluate the minimum functional checks required to represent useful health.
Return machine-readable status and alert or reroute when repeated checks fail.
What this pattern helps you decide
Expose functional health checks that external monitoring can call regularly. Checks should distinguish basic process liveness from readiness and dependency health without leaking sensitive details.
Where you may see it
- Azure Monitor availability tests
- App Service and Container Apps health probes
- API or worker health endpoints covering critical dependencies
How the analyzers can surface it
- No observable health path for critical integration runtimes
- Circuit-breaker or failover logic with no dependency health signal
- Monitoring based only on process uptime rather than functional checks
Pattern detection is contextual. GateSift should present these as architectural signals, not claim a pattern is implemented solely because one policy statement or adapter exists.
This page links to Microsoft Azure Architecture Center for the source architecture guidance. GateSift summaries, diagrams, Azure examples and analyzer signals are original. No endorsement by Microsoft is implied.