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.
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Linux
System administration, shell scripting, package management
Hosting & Servers
Web servers, reverse proxies, SSL, domains
Security
Firewalls, hardening, encryption, access control
Performance
Caching, optimization, profiling, load testing
Databases
MySQL, PostgreSQL, Redis, backups, replication
Networking
DNS, load balancing, VPN, TCP/IP, routing
DevOps
CI/CD, Docker, Kubernetes, automation
Monitoring
Logging, alerting, metrics, observability
Most viewed
Install and configure Deno for web development with systemd and reverse proxy
hostingInstall and configure Caddy web server with automatic HTTPS and reverse proxy
hostingInstall and configure Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure Ollama for local AI models on Linux servers
devopsConfigure Linux system time synchronization with chrony and NTP hardening
linuxRecently published
Configure Kubernetes network policies for enhanced cluster security
securitySet up Kubernetes persistent volume snapshots and backup automation
devopsImplement Kafka Streams exactly-once processing semantics with Java applications
devopsImplement ClickHouse backup automation with compression and S3 integration
databasesInstall and configure Filebeat 8.15 for efficient log shipping to ELK stack
monitoringIntegrate Apache Tomcat 11 with Prometheus and Grafana monitoring for comprehensive performance tracking
Set up comprehensive monitoring for Apache Tomcat 11 using JMX Prometheus Java agent, configure Prometheus to scrape metrics, create detailed Grafana dashboards, and implement alerting rules for performance tracking and health monitoring.
Configure Linux process scheduling and CPU affinity for performance optimization
Learn to optimize Linux process performance by configuring CPU scheduling priorities, CPU affinity, and systemd resource management for better workload distribution and reduced context switching.
Configure Linux filesystem tuning and optimization for database workloads
Optimize Linux filesystem performance for database workloads by configuring mount options, I/O schedulers, and kernel parameters to maximize database throughput and minimize latency.
Configure Linux NUMA optimization for multi-socket servers with memory policy tuning and CPU affinity
Optimize multi-socket server performance by configuring NUMA memory policies, CPU affinity, and topology-aware application placement. Achieve significant performance gains through proper NUMA optimization.
Configure Linux transparent huge pages and memory optimization for database workloads
Learn to configure transparent huge pages (THP) and optimize Linux memory management for database workloads. Covers THP disable/enable strategies, performance monitoring, and automation with systemd.
Configure Apache Cassandra cluster with multi-node setup and performance optimization
Set up a production-ready Apache Cassandra cluster with multiple nodes, configure replication strategies, and optimize JVM settings and performance parameters for high-throughput distributed NoSQL workloads.
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.
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.
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.
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