- Identify the critical customer request.
- Choose an alert owner.
- Record normal resource behaviour.
Measure the service first
Check an endpoint that represents real readiness, not only a running process. Watch successful requests, response time and application errors. Include essential dependencies in the health model.
Run external checks independently of the server. Monitoring only from the machine being monitored can disappear with the same failure.
Read resources together
Sustained CPU pressure can be real demand or an inefficient worker. Memory pressure and swapping can make a quiet CPU graph misleading. Watch disk space, inode use and write latency as well.
Compare busy periods with a normal baseline rather than reacting to one isolated peak.
Make each alert actionable
Specify a condition, duration and response. A disk warning should identify the filesystem and point to a cleanup or expansion procedure. Reserve urgent alerts for conditions that need urgent action.
Test delivery periodically. A correct alert sent to an abandoned inbox is not a working response system.
Plan growth before the boundary
Leave room for updates, a recovery operation and temporary spikes. Review the next exact resource step before a launch. A larger plan helps a workload that needs capacity; an unbounded worker or unindexed query may need a software change first.
Keep application measurements beside the infrastructure chart so the effect of a resize can be assessed.
Record meaningful changes
Annotate releases, resizes, DNS changes and maintenance in your own operational timeline. After an incident, turn the lesson into a runbook improvement, a better check or an architectural change instead of permanent alert noise.