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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Performance
Caching, optimization, profiling, load testing
Databases
MySQL, PostgreSQL, Redis, backups, replication
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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 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
Set up CockroachDB backup and disaster recovery automation with systemd timers and monitoring
databasesConfigure Kubernetes RBAC with service accounts and role bindings for secure cluster access control
devopsConfigure Prometheus Alertmanager with Slack integration for team notifications
monitoringSet up GitLab CI/CD with Kubernetes runners for scalable deployments
devopsSetup Tomcat SSL certificates with Let's Encrypt automation
hostingSetup advanced Airflow alerting with Slack integration and custom notification rules
Configure Apache Airflow to send intelligent alerts to Slack channels when DAGs fail, with custom notification rules based on task importance and execution context. Includes automated retry logic and escalation workflows.
Configure Django Redis caching and session storage for high-performance web applications
Set up Redis as both cache backend and session storage for Django applications. Improve page load times and user experience with proper Redis configuration and Django integration.
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.
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 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 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.
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