Resource monitoring is the practice of observing CPU, memory, disk, and network consumption to understand whether a system is operating within its capacity and to identify the source of performance problems. Every production incident involving slowness, unresponsiveness, or failure has a resource dimension — something is consuming too much CPU, memory has been exhausted, a disk is full, or a network interface is saturated. Diagnosing these conditions quickly requires fluency with Linux's monitoring tools.
The tools covered in this lesson — `ps`, `top`, `df`, `free`, `vmstat`, `iostat`, and `netstat`/`ss` — are available on every Linux system without additional installation. They are the first tools reached during a production incident precisely because they are always present, fast to invoke, and produce immediately actionable information. Prometheus, Grafana, and Datadog build their dashboards from the same underlying metrics these tools read.
This lesson organises monitoring by resource type — CPU, memory, disk, and network — and for each type covers both the snapshot tools (for immediate diagnosis) and the continuous tools (for trend observation). CricketPulse match-day scenarios provide the context: a spike in concurrent match viewers drives the CPU analysis, a memory leak in the score aggregator drives the memory analysis, and log file accumulation drives the disk analysis.