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 Ollama for local AI models on Linux servers
devopsInstall and configure Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure Uptime Kuma for website monitoring with SSL and email alerts
monitoringRecently published
Setup Node.js error tracking with Sentry for production monitoring and debugging
monitoringImplement Node.js application monitoring with Prometheus metrics and Grafana dashboards
monitoringImplement OSPF multi-area design with FRRouting and advanced routing policies
networkingConfigure Istio security policies with external authorization services integration
securityImplement Docker network security with custom bridge networks and container isolation
securityInstall and configure OpenLiteSpeed with WordPress and LSCache optimization
Set up OpenLiteSpeed web server with PHP 8.4, deploy WordPress with database integration, and enable LSCache plugin for maximum performance optimization.
Configure OpenLiteSpeed load balancing with multiple backend servers
Set up OpenLiteSpeed as a reverse proxy and load balancer to distribute traffic across multiple backend application servers with health checks and automatic failover for high availability.
Configure MySQL connection pooling with ProxySQL 2.6 for high availability and performance optimization
Set up ProxySQL 2.6 to manage MySQL connection pooling, load balancing, and automatic failover. This tutorial covers backend server configuration, health checks, query routing rules, and monitoring for production MySQL environments.
Monitor MySQL performance with Prometheus and Grafana dashboards
Set up comprehensive MySQL monitoring with Prometheus MySQL Exporter and Grafana dashboards. Track query performance, connections, replication lag, and resource usage with automated alerts for production database health.
Implement Lighttpd 1.4 load balancing with multiple backend servers for high availability
Configure Lighttpd 1.4 with mod_proxy for load balancing across multiple backend web servers. Set up health checks, SSL termination, and failover mechanisms for production environments.
Implement Kubernetes pod disruption budgets for high availability during scaling events
Configure Pod Disruption Budgets to ensure application availability during cluster maintenance and scaling operations. Learn to implement PDB policies, test disruption scenarios, and maintain service continuity in Kubernetes.
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.
Setup MySQL replication with GTID and automatic failover
Configure MySQL 8.0 master-slave replication using GTID for reliable data synchronization, then implement MySQL High Availability (MHA) for automatic failover detection and promotion.
Configure ELK stack for centralized logging with Elasticsearch 8, Logstash 8, and Kibana 8
Set up a production-grade ELK stack with Elasticsearch 8, Logstash 8, and Kibana 8 for centralized log management. Configure authentication, SSL encryption, and log processing pipelines across multiple data sources.
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 Kubernetes vertical pod autoscaler for resource optimization and cost management
Set up VPA to automatically adjust CPU and memory requests for your Kubernetes workloads. Reduce resource waste and optimize costs by letting VPA analyze actual usage patterns and rightsizing containers.
Implement Kubernetes workload rightsizing with VPA recommendations and cost analysis
Set up Vertical Pod Autoscaler to automatically optimize resource requests and limits for your Kubernetes workloads. Create cost analysis dashboards to track resource utilization and identify opportunities for rightsizing containers in production clusters.
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