CPU Monitor

The CPU Monitor tool ingests a structured data set of CPU usage samples, including core counts and time stamps, and computes essential performance metrics. It produces an overall average utilization, minimum and maximum values, a 95th percentile, and per-core statistics to reveal how each core contributes to load. Conceptually, it treats the input as a finite time series and applies standard statistical calculations, with optional smoothing to highlight trends over noisy data. The tool is designed for system administrators, DevOps engineers, cloud operators, and developers who need to diagnose saturation points, identify hotspots, and plan capacity. Unique value lies in its ability to summarize multi-core behavior from a compact data set and present a per-core decomposition that informs scaling decisions and scheduling improvements. Core features include input validation, robust percentile and per-core calculations, and an exportable summary. Use cases include evaluating a new deployment’s impact on CPU demand, comparing baseline vs. post-change performance, and forecasting capacity needs based on historical samples. It supports optional smoothing and anomaly flags to surface persistent high-load periods without requiring live telemetry. Outputs are designed for quick interpretation and integration into incident reviews and reports.