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
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Web servers, reverse proxies, SSL, domains
Security
Firewalls, hardening, encryption, access control
Performance
Caching, optimization, profiling, load testing
Databases
MySQL, PostgreSQL, Redis, backups, replication
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DNS, load balancing, VPN, TCP/IP, routing
DevOps
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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
devopsConfigure Linux system time synchronization with chrony and NTP hardening
linuxRecently published
Setup Elasticsearch 8 index lifecycle management for automated log retention and storage optimization
devopsConfigure Kafka Streams state stores and RocksDB optimization for high-performance streaming applications
devopsImplement Django continuous deployment with Git hooks and automated testing
devopsConfigure Django Redis caching and session storage for high-performance web applications
performanceSet up Kafka Streams testing framework with TopologyTestDriver for automated stream processing validation
devopsSetup DuckDB with Apache Airflow for automated data pipelines
Configure DuckDB as a high-performance analytical database backend for Apache Airflow workflows. Build automated data pipelines that process files, APIs, and databases using DuckDB's columnar engine.
Configure Apache Airflow DAG performance optimization best practices
Optimize Apache Airflow DAGs for production with parallelism tuning, resource allocation strategies, and performance monitoring. Learn executor configuration, task dependency optimization, and troubleshooting techniques for high-throughput workflows.
Set up Apache Airflow performance monitoring with DataDog agent integration and custom dashboards
Configure comprehensive Apache Airflow monitoring using DataDog agent to track DAG performance, task execution metrics, and resource utilization with custom dashboards and automated alerting for production workflow management.
Implement 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.
Configure Apache Airflow high availability with CeleryExecutor and Redis clustering for production deployments
Set up Apache Airflow with CeleryExecutor and Redis clustering for high availability production deployments. Configure multiple workers, load balancing, monitoring, and automated failover to handle enterprise-scale workflow orchestration with zero downtime.
Configure Apache Airflow with SSL certificates and NGINX reverse proxy for secure production deployment
Set up Apache Airflow behind NGINX with SSL certificates, security headers, and reverse proxy configuration for production-grade deployments with HTTPS termination.
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.
Configure Airflow DAG security and isolation with RBAC policies
Set up comprehensive security for Apache Airflow with role-based access control, DAG-level permissions, and resource isolation. Configure user authentication, implement fine-grained security policies, and establish monitoring for production-grade workflow orchestration.
Configure Apache Airflow performance optimization with connection pooling and resource tuning
Optimize Apache Airflow performance through advanced connection pooling, resource tuning, and Celery executor configuration. Learn to scale workers, configure database pools, and implement comprehensive monitoring for production workflows.
Set up Apache Airflow high availability with CeleryExecutor and Redis clustering
Deploy Apache Airflow in high availability mode using CeleryExecutor with Redis clustering for task distribution, PostgreSQL connection pooling, and load-balanced webservers for production-grade workflow orchestration.
Integrate Apache Airflow with Kubernetes RBAC and service accounts for secure workflow orchestration
Configure Apache Airflow KubernetesExecutor with proper RBAC permissions, service accounts, and role bindings to securely orchestrate workflows in Kubernetes environments with least-privilege access controls.
Install and configure Apache Airflow with PostgreSQL backend and secure production deployment
Learn to deploy Apache Airflow in production with PostgreSQL backend, systemd services, SSL/TLS encryption, and security hardening for enterprise workflow orchestration.
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