"Sustained CPU above ~70-80% on critical services leaves little headroom for traffic spikes or noisy neighbors. If CPU spikes align with latency increases, you may need to optimize code hot paths or scale out."
"Slow, steady growth in memory usage suggests memory leaks; sharp sawtooth patterns with long GC pauses can degrade latency even before you run out of memory."
"High disk wait times or IOPS saturation can delay database queries, logging, and caching. If a spike in disk latency precedes higher response times, investigate queries, indexing, or storage performance."
"Apdex scores range from 0 to 1 and classify requests as satisfying, tolerating, or frustrating based on a threshold (T). If your Apdex drops below a target, it's a clear sign users are feeling the slowness."
Infrastructure metrics such as CPU utilization, memory usage, disk I/O, and network metrics are essential for identifying application-level issues. High CPU utilization can indicate the need for code optimization or scaling. Memory usage patterns can reveal leaks or performance degradation. Disk I/O issues can delay database operations, while network metrics help differentiate between application and connectivity problems. User experience metrics like Apdex and latency translate technical performance into user satisfaction, with Apdex scores indicating user perception of application speed.
#infrastructure-metrics #user-experience #application-performance #monitoring #performance-optimization
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