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
devopsInstall and configure Uptime Kuma for website monitoring with SSL and email alerts
monitoringRecently published
Configure custom SNMP MIBs for vendor-specific monitoring with SNMP v2c and v3
monitoringImplement NGINX Plus active health checks for enterprise environments
hostingSetup Prometheus Blackbox Exporter for endpoint monitoring with SSL and alerting
monitoringConfigure Prometheus alerting with AlertManager notifications and webhook integration
monitoringConfigure Elasticsearch cross-cluster replication for disaster recovery
databasesConfigure GitLab container registry with SSL certificates and security hardening
Set up GitLab's integrated Docker registry with SSL/TLS encryption, security headers, and production-ready hardening for secure container image storage and distribution.
Setup SonarQube scanner for multiple programming languages with automated code quality analysis
Configure SonarQube Scanner CLI to analyze Java, Python, JavaScript, and C# projects with automated quality gates and CI/CD integration. Streamline code quality analysis across your entire development pipeline with Docker and Jenkins automation.
Implement comprehensive Apache Airflow DAG testing and validation strategies with pytest and best practices
Learn to implement production-grade testing for Apache Airflow DAGs using pytest, including unit tests for DAG structure validation, integration testing with test databases, and automated validation pipelines with CI/CD integration.
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