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
Caching, optimization, profiling, load testing
Databases
MySQL, PostgreSQL, Redis, backups, replication
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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 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
Monitor Kubernetes network policies with Prometheus and Grafana for enhanced cluster security
monitoringSet 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
devopsImplement custom Prometheus exporters for application metrics collection and monitoring
Build production-grade custom Prometheus exporters in Python and Go to collect application-specific metrics. Learn exporter architecture, metric types, systemd deployment, and Prometheus integration for comprehensive application monitoring.
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.
Set up Apache Airflow DAG performance testing with Locust load testing framework
Learn to configure Locust for comprehensive Apache Airflow DAG performance testing, including automated load testing scenarios, metrics collection, and CI/CD integration for production-grade workflow optimization.
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.
Configure Apache Airflow monitoring with Prometheus alerts and Grafana dashboards
Set up comprehensive monitoring for Apache Airflow with Prometheus metrics collection, StatsD integration, and custom Grafana dashboards. Configure automated alerting for DAG failures, task timeouts, and system health issues.
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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