Optimize Performance with Rune CPU RAM Monitor Alerts

Lightweight Rune CPU RAM Monitor for Linux Servers

Overview

A lightweight Rune CPU RAM Monitor is a small, low-overhead tool for Linux that continuously reports per-process and system CPU/RAM usage, highlights spikes, and optionally maps processes to their systemd services. It’s designed for resource-constrained servers (Raspberry Pi, VMs, containers) where you want fast diagnostics without a heavy agent.

Key features

• Low CPU & memory overhead (written in a small language like Go/Python with minimal deps)
• Real-time sampling (configurable interval, e.g., 1s–10s)
• Top-N / threshold alerts (report processes above CPU% or RAM MB limits)
• Short-lived process capture (snapshots to catch processes that start and exit quickly)
• Systemd parent lookup (show which systemd service started a process)
• CLI output + optional JSON for logging or piping to other tools
• Single-file install / zero-deps mode for constrained systems

Typical commands & installation (example)

• Download single binary or script, make executable:

  Code
  Copy CodeCopied
  wget https://example.com/rune-monitor && chmod +x rune-monitor ./rune-monitor –interval 2 –top-n 10 –cpu-threshold 80 –mem-threshold 500 

• Example flags:
  • –interval N (seconds)
  • –top-n K
  • –cpu-threshold %
  • –mem-threshold MB
  • –json (emit machine-readable output)

How it helps admins

• Quickly identify runaway processes causing load or OOMs.
• Diagnose intermittent spikes that evade periodic heavier monitoring.
• Lightweight footprint makes it safe to run continuously on edge devices.

Alternatives / related projects

• htop, bpytop — interactive but heavier UI
• proc-monitor (small GitHub tool) — similar lightweight approach
• atop, collectd — fuller monitoring stacks (more overhead)

If you want, I can:

• provide a minimal single-file script (Python) that implements these core features, or
• generate example systemd unit and a Prometheus exporter wrapper. Which would you prefer?