Objective

Optimize system performance and establish observability by tuning kernel parameters, configuring logging, and deploying a monitoring stack. This checkpoint demonstrates how to measure, analyze, and visualize system health in production-like environments.

Implementation

Resource Monitoring

• Collect baseline metrics for CPU, memory, and disk utilization.
• Use tools to observe system activity.

htop        # Real-time process and CPU usage
vmstat 2    # System activity every 2 seconds
iostat -x   # Detailed disk I/O statistics

Kernel Tuning

• Persist changes in /etc/sysctl.conf.
• Tune TCP settings for better network performance.

sudo sysctl -w net.ipv4.tcp_fin_timeout=30
sudo sysctl -w net.ipv4.tcp_tw_reuse=1

• Adjust swappiness (controls swap usage).

sudo sysctl vm.swappiness=10

Logging Configuration

• Ensures logs are rotated, compressed, and managed efficiently.
• Configure log rotation for Nginx logs.

sudo nano /etc/logrotate.d/nginx

/var/log/nginx/*.log {
    daily
    missingok
    rotate 14
    compress
    delaycompress
    notifempty
    create 640 www-data adm
    sharedscripts
    postrotate
        systemctl reload nginx > /dev/null
    endscript
}

Monitoring Stack Setup

• Configure Prometheus to scrape system metrics and Nginx request metrics.
• Build Grafana dashboards for:
  • CPU utilization
  • Memory usage
  • Disk I/O
  • Nginx request throughput
• Install Prometheus (metrics collection) and Grafana (visualization).

sudo apt install prometheus grafana -y

Deliverable

• Performance Report: Document baseline metrics, tuning changes, and observed improvements.
• Grafana Screenshot: Dashboard visualizing CPU, memory, disk, and Nginx metrics.

Checkpoint

Learners must:

• Identify one bottleneck (e.g. high CPU usage, memory pressure, disk latency).
• Propose a fix (e.g. kernel tuning, scaling resources, optimizing Nginx configuration).

Hackers Notebook

Performance tuning and observability are critical for production readiness:

• Resource monitoring tools (htop, vmstat, iostat) provide real-time and historical insights.
• Kernel tuning allows administrators to optimize memory and network behavior for workload demands.
• Log rotation ensures disk efficiency and long-term auditability.
• Prometheus + Grafana form a modern monitoring stack, enabling visualization of system health and application metrics.

By combining tuning and observability, administrators can detect bottlenecks, validate improvements, and maintain system reliability under load.