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
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
devopsOptimize DuckDB performance for large datasets with partitioning
Configure DuckDB with advanced partitioning strategies and memory optimization for processing multi-gigabyte datasets efficiently. Includes Python integration, query optimization techniques, and comprehensive monitoring setup.
Configure DuckDB cluster setup for distributed analytics and high performance workloads
Set up a DuckDB cluster with distributed query processing, network security, and performance optimization for high-throughput analytical workloads across multiple nodes.
Setup 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.
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.
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.
Configure Apache Airflow DAG security and secrets management with RBAC policies and encryption
Implement comprehensive security for Apache Airflow DAGs using role-based access control, HashiCorp Vault integration, and encrypted secrets management. Configure granular permissions, audit logging, and isolation policies for production workflows.
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.
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.
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