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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Security
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Performance
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Databases
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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 Uptime Kuma for website monitoring with SSL and email alerts
monitoringInstall and configure Caddy web server with automatic HTTPS and reverse proxy
hostingInstall and configure TimescaleDB with PostgreSQL for high-performance time-series data
databasesInstall and configure Ollama for local AI models on Linux servers
devopsRecently published
Configure PostgreSQL 17 SSL encryption and certificate-based authentication
databasesSet up HAProxy SSL termination with Let's Encrypt certificates
networkingConfigure HAProxy with Consul for dynamic service discovery
networkingConfigure PostgreSQL 17 connection pooling with PgBouncer for high availability
databasesConfigure Kubernetes secrets management with External Secrets Operator and HashiCorp Vault
devopsConfigure 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 SonarQube quality gates and automated project analysis with multi-language support
Set up custom SonarQube quality gates with automated project analysis for multiple programming languages. Configure SonarScanner integration, webhook notifications, and CI/CD pipeline automation for continuous code quality monitoring.
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.
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.
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.
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