Monitoring & Performance

Monitoring, logs, alerting, benchmarking and server performance tuning

• Server Monitoring 101: Which Metrics to Watch

  Use a handful of basic commands to read CPU, memory, disk, network, and processes—and tell whether your server is healthy.

• Set Up Server Monitoring with Prometheus + Grafana

  Spin up a Prometheus-scrapes-metrics, Grafana-draws-charts monitoring stack on your server in minutes with Docker Compose, and collect host metrics via node_exporter.

• Collecting Host Metrics with node_exporter

  Install node_exporter on your server to expose CPU, memory, disk, and network metrics for Prometheus to scrape.

• Uptime Monitoring and Alerting: Know the Moment You Go Down

  Combine external probes with Uptime Kuma or Alertmanager to give your server a heartbeat, and let email and Telegram watch the box for you.

• Log Management: journald, logrotate, and Centralized Logging

  Track down problems fast with journalctl, keep logrotate from filling your disk, and know when centralized logging is worth it.

• Troubleshooting High Load: Pinpointing CPU, Memory, and I/O Bottlenecks

  When your server slows down or alerts fire, work through the resources in order — top, free, iostat, ss — to find which one is actually saturated.

• Benchmarking and Load Testing Your Server: sysbench, ab, and wrk

  Use sysbench to baseline CPU/memory/disk, then ab and wrk to load-test HTTP QPS and latency.

• Disk I/O Performance and Optimization

  Use iostat, iotop, and fio to tell whether your disk is the bottleneck, then tune the filesystem, mount options, and write patterns to get the most out of it.

• Network Performance Testing: Measuring Bandwidth and Latency with iperf

  Use iperf3, ping, and speedtest-cli to measure your server's throughput, latency, and public-internet speeds, and learn how bandwidth, latency, and packet loss each shape real-world experience.

• Server Performance Tuning Checklist

  A practical, hands-on checklist for tuning a Linux server: profile first to find the real bottleneck, then enable BBR, adjust sysctl and ulimit, tune Nginx and your database, add caching and a CDN — verifying each change as you go.