Monitoring starts with a user question
“Can I use the service?” matters more than “Is the process running?”. Test a real HTTP request, login endpoint or game port rather than just the machine. A process may be alive while returning no useful response. External checks also catch network failures that a local agent cannot see.
CPU utilization needs context
A brief spike to 100 percent is not automatically a problem. It becomes relevant when response times rise, load keeps growing or processes remain queued for CPU time. Compare utilization and load with the number of available cores, and look at the trend instead of one sample.
Memory, swap and the OOM killer
Linux deliberately uses spare memory for caching, so a small “free” number does not immediately mean pressure. Available memory, sustained swap growth and out-of-memory events are more useful. A memory leak often appears over hours or days rather than in one snapshot.
Storage is a common hidden bottleneck
High I/O wait, full filesystems and rising write latency can slow a server while CPU and memory look normal. Monitor capacity in both gigabytes and percentages. Logs, database journals and container layers can grow unexpectedly.
Every alert should lead to an action
- Alert on sustained problems, not every short spike.
- State which service is affected and where its logs live.
- Test that notifications actually reach the right person.
- Keep enough history to spot changes after deployments.
A useful baseline combines availability checks, system metrics and application logs. Explore more platform capabilities under features.
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