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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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
devopsConfigure 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.
Implement GitLab CI/CD security scanning for Docker images
Set up automated container vulnerability scanning in GitLab CI/CD pipelines with Trivy and registry integration. Implement security gates, quality controls, and automated reporting for production-ready DevSecOps workflows.
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 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 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.
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.
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.
Configure Apache Airflow LDAP authentication and RBAC with Active Directory integration
Configure Apache Airflow with LDAP authentication against Active Directory, implement role-based access control (RBAC), and set up secure user group management for enterprise environments.
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