Real-Time CPU Monitoring

Linux CPU
Monitoring

Per-Core Visibility, Load Average Tracking & Instant Alerts

BigBell Linux CPU monitoring tracks utilization across every core, flags sustained load before it degrades application performance, and delivers instant alerts to your team the moment thresholds are breached.

bigbell-agent — prod-web-01 — cpu metrics
$bigbell cpu --host prod-web-01 --live
Load Average: 2.84 (1m) · 2.11 (5m) · 1.92 (15m)
CPU Count: 8 cores | Architecture: x86_64
Per-core utilization:
Core 0
28%
Core 1
74%
Core 2
41%
Core 3
19%
Core 4
91%
Core 5
33%
Core 6
22%
Core 7
67%
⚠ Alert: Core 4 at 91% — threshold 85%
✓ Sent → Slack #ops-alerts · PagerDuty
Overview

What is Linux CPU Monitoring?

Linux CPU monitoring is the real-time tracking of processor utilization, load averages, context switches, and per-core usage across your Linux hosts — so you know when workloads are stressing your compute resources before performance degrades.

Why CPU monitoring prevents outages

CPU saturation is one of the leading causes of slow application response times and cascading failures in production systems. A single runaway process, a traffic spike, or a misconfigured cron job can push CPU load to levels that starve other processes of compute time.

BigBell tracks CPU metrics at configurable intervals — as frequently as every 30 seconds — and compares them against your thresholds continuously. When sustained high CPU is detected, your team is notified instantly with host name, affected cores, current load, and a direct link to the metric history.

  • Tracks aggregate and per-core CPU utilization
  • Monitors 1-minute, 5-minute, and 15-minute load averages
  • Identifies CPU-hungry processes in real time
  • Alerts before sustained load degrades response times

How BigBell CPU monitoring works

CPU Monitoring — Step by Step
1
Agent Collects CPU MetricsSamples utilization, load average, and context switches every 30s
2
Per-Core BreakdownIdentifies which cores are saturated and which processes are responsible
3
Threshold ComparisonCompares current values against your warning and critical thresholds
4
Instant Alert FiredNotifies your team with context — host, core, value, and threshold
5
Historical Trend StoredRetains metric history for capacity planning and post-mortem analysis
Features

Complete Linux CPU Monitoring in One Platform

⚙️

Per-Core Utilization

See exactly which CPU cores are under pressure. Identify unbalanced workloads, process affinity issues, and single-threaded bottlenecks that aggregate metrics would hide.

📈

Load Average Tracking

Monitor 1m, 5m, and 15m load averages continuously. Distinguish between transient CPU spikes and sustained load that indicates genuine capacity problems.

🔄

Process-Level CPU Usage

Identify which processes are consuming the most CPU at any moment. Track top consumers over time to catch runaway services and inefficient code paths.

Context Switch Monitoring

High context switch rates signal scheduler pressure and can degrade performance even when CPU utilization appears moderate. BigBell tracks this metric automatically.

🔔

Threshold-Based Alerts

Set separate warning and critical thresholds for aggregate CPU, per-core usage, and load average. Configure alert cooldowns to prevent notification fatigue.

📊

Historical CPU Trends

Visualize CPU utilization over hours, days, and weeks. Identify daily usage patterns, peak load windows, and long-term growth trends to guide capacity planning.

Issue Detection

CPU Problems BigBell Catches Before Users Notice

CRITICAL

CPU Saturation

When all cores are pegged at 100%, new requests queue up and response times spike. BigBell detects sustained saturation within one monitoring cycle and alerts your team immediately.

WARNING

Runaway Process

A single misconfigured or buggy process consuming a disproportionate share of CPU can starve other services. BigBell's process-level tracking identifies the culprit instantly.

WARNING

Rising Load Average

A gradual increase in 15-minute load average is an early warning of capacity exhaustion. BigBell catches this trend before it reaches a critical threshold.

CRITICAL

CPU Steal (Cloud VMs)

On shared cloud infrastructure, CPU steal time indicates the hypervisor is allocating your vCPU time to other tenants. BigBell tracks steal percentage on cloud Linux instances.

FAQ

Linux CPU Monitoring — FAQ

Stop Flying Blind on Linux CPU

Get per-core visibility, load average tracking, and instant CPU alerts across your entire Linux fleet in under five minutes.

Get started today for free.