Memory Usage Spiking? Monitor It in Real-Time with Prometheus & Grafana

Description

Learn how to monitor memory usage in real time using Prometheus, Grafana, and Node Exporter on a Linux system. In this step-by-step Prometheus and Grafana monitoring tutorial, you’ll build a simple Grafana dashboard to track memory usage, detect memory spikes, and understand how system memory behaves under load. This tutorial is perfect for beginners and DevOps engineers who want to set up real-time server monitoring and prevent crashes caused by high memory usage. You’ll learn how Node Exporter collects system metrics, how Prometheus scrapes and stores data, and how Grafana visualizes memory usage with clear and actionable dashboards. We also simulate a memory spike using stress testing, so you can see how your monitoring setup reacts in real time. By the end, you’ll understand how to use Prometheus queries, configure Grafana dashboards, and monitor Linux server memory usage effectively in production environments. 00:00 Memory Monitoring with Prometheus & Grafana (Overview) 00:23 Monitoring Stack Explained: Node Exporter, Prometheus, Grafana 00:45 How Node Exporter Collects System Memory Metrics 00:50 How Prometheus Scrapes and Stores Metrics 01:01 How Grafana Visualizes Memory Usage Data 01:14 Prometheus Memory Query Explained (Step-by-Step) 02:25 Running the Query & Viewing Memory Usage 03:04 Best Grafana Visualization for Memory Monitoring 03:08 Setting Memory Thresholds (80% vs 90% Explained) 04:07 How to Stress Test Memory on Linux (Live Demo) 04:39 Memory Usage Spike in Real Time (Grafana Dashboard) 05:12 Why Memory Monitoring Matters in Production 05:20 Setting Up Alerts for High Memory Usage (Overview) #prometheus #grafana #NodeExporter #MemoryMonitoring #cpumonitoring #linuxserver #devops #servermonitoring #RealTimeMonitoring #observability