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 PostgreSQL 17 with performance tuning and security hardening
databasesConfigure network interface monitoring with ICMP ping and connectivity testing
networkingRecently published
Integrate ModSecurity 3 with SOAR platforms for automated incident response and threat detection
securityMonitor Node.js applications with Prometheus and Grafana for comprehensive performance metrics
monitoringSet up PostgreSQL 17 streaming replication with PgBouncer connection pooling and load balancing
databasesSet up ELK Stack for centralized ModSecurity log analysis and monitoring
securityImplement network security policies with iptables and firewalld for enterprise infrastructure protection
securitySet up Kafka Connect cluster with high availability and load balancing
Configure a production-ready Kafka Connect cluster with multiple worker nodes, HAProxy load balancing, and Prometheus monitoring. Includes distributed configuration, shared storage setup, and comprehensive health checks for reliable data pipeline processing.
Set up ClickHouse and Kafka real-time data pipeline with streaming analytics
Build a production-ready real-time data pipeline using ClickHouse for high-performance analytics and Apache Kafka for streaming data ingestion. Configure clustering, replication, and automated data processing workflows.
Configure Kafka Connect for database integration with JDBC connectors and CDC
Set up Kafka Connect with JDBC connectors for real-time database integration and configure Debezium for change data capture. Monitor connector performance and troubleshoot common integration issues.
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