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My dashboard is full of CPU and memory graphs. None of them tell me if the API itself is slow or throwing errors right now.
What you'll have at the end
One endpoint with its request count, error count, and latency percentile on the same dashboard row
You need
A web service already answering real requests for at least one endpoint, with nothing yet exporting numbers a metrics system can scrape.
Not covered
Instrumenting CPU, memory, or disk graphs, since those already exist and already answer how full the system is; what's missing is the three request-level numbers scoped to one endpoint.
Add distributed tracing so a slow request explains itself
Once the row shows latency climbing, this is where you find out which part of the request is actually slow.
Give every request a correlation ID that survives your stack
Once the row shows an error spike, this is what lets you pull the exact failing requests' own logs instead of just knowing the rate went up.
Checked 19 Aug 2026
Part of the Backend Observability and Monitoring cookbook