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 systemd service resource limits and security isolation
linuxConfigure NGINX SSL termination with Redis session storage
hostingConfigure intrusion detection with OSSEC and fail2ban integration
securitySet up Varnish 7 cluster with load balancing across multiple backends
performanceConfigure OSSEC active response for automated threat blocking
securityImplement Airflow load balancing with Celery executor for high availability workflows
Set up Apache Airflow with Celery executor, Redis cluster backend, HAProxy load balancing, and auto-scaling workers for production-grade workflow orchestration with high availability.
Implement Airflow DAG security scanning with Bandit and safety checks
Set up automated security scanning for Apache Airflow DAGs using Bandit for Python code analysis and Safety for vulnerability detection. Configure pre-commit hooks and CI/CD integration for continuous security monitoring.
Configure Apache Airflow data lineage tracking with OpenLineage for comprehensive workflow observability
Set up OpenLineage with Apache Airflow to track data lineage across workflows, providing comprehensive observability into data transformations, dependencies, and quality issues in production environments.
Set up Apache Airflow DAG security policies and data governance with RBAC and audit logging
Configure comprehensive security for Apache Airflow with role-based access control, DAG-level permissions, data lineage tracking, and audit logging for compliance monitoring in production environments.
Configure Apache Airflow DAG version control with Git and CI/CD pipelines
Set up Git-based version control for Apache Airflow DAGs with automated CI/CD pipelines for testing and deployment. Implement DAG synchronization, validation workflows, and production-ready deployment strategies.
Implement Airflow DAG monitoring with DataDog integration for production workflows
Set up comprehensive monitoring for Apache Airflow DAGs using DataDog integration. This tutorial covers DataDog agent installation, metrics collection configuration, custom dashboard creation, and alerting rules for production workflow observability.
Set 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.
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.
Configure Apache Airflow monitoring with Prometheus alerts and Grafana dashboards
Set up comprehensive monitoring for Apache Airflow with Prometheus metrics collection, StatsD integration, and custom Grafana dashboards. Configure automated alerting for DAG failures, task timeouts, and system health issues.
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