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
Configure Linux system time synchronization with chrony and NTP hardening
linuxSet up Node.js application security with Helmet and rate limiting
securityInstall 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 PostgreSQL 17 with performance tuning and security hardening
databasesRecently published
Configure ModSecurity machine learning anomaly detection for automated threat protection
securityConfigure NGINX HTTP/2 server push and connection multiplexing
performanceConfigure NGINX SSL certificate automation with Certbot and renewal monitoring
hostingMonitor FastAPI applications with Prometheus and Grafana for production observability
monitoringConfigure logrotate with Elasticsearch and Kibana integration for automated log management
monitoringOptimize HAProxy performance with connection pooling and advanced load balancing algorithms
Configure HAProxy with connection pooling, advanced load balancing algorithms, and performance tuning for high-throughput workloads. Learn to implement least-conn, URI hashing, and buffer optimization.
Configure Linux system resource limits with systemd and ulimit for application performance
Learn to configure Linux system resource limits using systemd, ulimit, and /etc/security/limits.conf to prevent application failures from resource exhaustion. Master per-user, per-service, and system-wide limits for optimal performance.
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.
Optimize Linux I/O performance with kernel tuning and storage schedulers for high-throughput workloads
Learn how to optimize Linux I/O performance through kernel parameter tuning, storage scheduler configuration, and filesystem optimizations. This tutorial covers scheduler selection, queue depth tuning, and performance monitoring for high-throughput applications.
Configure Linux system logging with rsyslog and journald for centralized log management
Set up comprehensive Linux logging infrastructure using rsyslog for traditional syslog handling and journald for systemd service logs. Configure remote logging, log rotation, filtering rules, and troubleshoot common logging performance issues.
Implement Kubernetes cluster autoscaling with Helm charts and KEDA for dynamic workload scaling
Configure comprehensive Kubernetes autoscaling with cluster autoscaler for node management, KEDA for event-driven pod scaling, and vertical pod autoscaler for resource optimization. This tutorial covers production-grade deployment using Helm charts with monitoring and optimization strategies.
Integrate SonarQube with Kubernetes and Helm charts for automated code quality scanning
Deploy SonarQube on Kubernetes using Helm charts with PostgreSQL database, configure automated code scanning workflows, and implement persistent storage for comprehensive code quality analysis in your CI/CD pipeline.
Implement Kubernetes monitoring with Prometheus and Helm charts for comprehensive cluster observability
Deploy a production-ready Prometheus monitoring stack on Kubernetes using Helm charts with ServiceMonitors, alerting rules, and comprehensive cluster observability for metrics collection and monitoring.
Configure Elasticsearch 8 cluster with multiple nodes for high availability and scalability
Set up a production-ready Elasticsearch 8 cluster with dedicated master, data, and coordinating nodes for high availability, fault tolerance, and horizontal scalability across multiple servers.
Monitor Docker containers with Prometheus and Grafana using cAdvisor for comprehensive metrics collection
Set up comprehensive Docker container monitoring with Prometheus, Grafana, and cAdvisor to track resource usage, performance metrics, and container health in production environments.
Set up SonarQube branch analysis with pull request decoration for enhanced code quality workflows
Configure SonarQube Developer Edition with branch analysis capabilities and pull request decoration for GitHub and GitLab. Implement automated code quality checks in CI/CD pipelines with comprehensive branch coverage and merge request feedback.
Optimize Elasticsearch 8 indexing performance for large datasets with bulk operations and memory tuning
Configure Elasticsearch 8 for maximum indexing performance when handling large datasets through bulk API optimization, JVM memory tuning, and index mapping strategies. This guide covers production-grade performance tuning for high-throughput indexing workloads.
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