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
securitySet up Apache Airflow DAG performance testing with Locust load testing framework
Learn to configure Locust for comprehensive Apache Airflow DAG performance testing, including automated load testing scenarios, metrics collection, and CI/CD integration for production-grade workflow optimization.
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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