Infrastructure tutorials

Production-grade guides for Linux, servers, security and performance. Copy-paste commands, multi-distro support, written by engineers who run this in production.

linux Intermediate

Configure Linux process resource monitoring and alerting with cgroups and systemd

Set up comprehensive process resource monitoring using cgroups v2 and systemd to track CPU, memory, and I/O usage with automated alerting when processes exceed defined limits.

25 min 6 distros 312 views
linux Intermediate

Configure Linux CPU and process scheduling with systemd and nice priorities for workload optimization

Learn to optimize Linux workloads by configuring CPU scheduling policies, setting process priorities with nice and ionice commands, and implementing systemd service limits for better resource allocation and performance.

25 min 6 distros 397 views
performance Intermediate

Optimize Apache HTTP server performance with caching, compression and worker tuning

Boost Apache performance through worker MPM optimization, compression modules, and intelligent caching strategies. Achieve 3-5x performance improvements for high-traffic production workloads.

35 min 6 distros 260 views
performance Intermediate

Configure Linux memory management and swap optimization for high-performance workloads

Optimize Linux memory subsystem performance through advanced swap configuration, virtual memory tuning, and memory compression techniques. Learn to configure transparent huge pages, zram, and application-specific memory settings for high-performance workloads.

25 min 6 distros 283 views
linux Intermediate

Optimize Linux system performance with kernel parameters and system tuning

Learn production-grade Linux performance optimization through systematic kernel parameter tuning, memory management, I/O optimization, and network stack configuration to maximize system throughput and responsiveness.

45 min 6 distros 298 views
devops Intermediate

Install and configure Ollama for local AI models on Linux servers

Set up Ollama to run large language models locally on your Linux server. This tutorial covers installation, GPU acceleration, model deployment, API configuration, and performance optimization.

25 min 6 distros 324 views

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