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The core idea
Different health signals answer different questions. A liveness signal indicates that a process is running; readiness indicates whether it can serve the intended traffic. Deeper synthetic checks can exercise a user journey, but they should avoid unwanted side effects and excessive dependency load. Keep these signals distinct so automation reacts appropriately.
A practical approach
Step 1
Define the failure each check should detect and the action it should trigger. Avoid restarting healthy processes because an unrelated service briefly slows down.
Step 2
Check critical dependencies with bounded timeouts and safe operations. Protect detailed diagnostic endpoints from unnecessary exposure.
Step 3
Use a lightweight synthetic journey for important functions and monitor it separately from basic process health.
Worked example
A learning portal’s homepage responds normally while its course data service is unavailable. A basic liveness check passes, but a read-only synthetic check of a known course reveals the user-facing failure.
A mistake to avoid
Health checks that all query an overloaded database can increase the load during an incident. Another mistake is exposing connection strings or internal topology in a public diagnostic response.
Try it yourself
Write three checks for your application: process health, readiness and one user journey. For each, list the failure it detects and the operational response it should cause.
Your implementation checklist
- Each health signal has a specific purpose.
- Checks are bounded and low impact.
- Sensitive diagnostics are protected.
- A critical user journey is observed separately.
Share or cite this guide
Innovate with Ajay Editorial (2026-10-04). Design Health Checks That Mean Something. https://innovatewithajay.com/blogs/design-health-checks-that-mean-something