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 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
Setup Node.js error tracking with Sentry for production monitoring and debugging
monitoringImplement Node.js application monitoring with Prometheus metrics and Grafana dashboards
monitoringImplement OSPF multi-area design with FRRouting and advanced routing policies
networkingConfigure Istio security policies with external authorization services integration
securityImplement Docker network security with custom bridge networks and container isolation
securityMonitor Docker containers with Prometheus and Grafana using cAdvisor for comprehensive metrics collection
Set up comprehensive Docker container monitoring with Prometheus, Grafana, and cAdvisor to track resource usage, performance metrics, and container health in production environments.
Integrate SonarQube with Kubernetes security scanning workflows for continuous code quality analysis
Set up SonarQube scanner in Kubernetes pods with admission controllers for automated security scanning. Configure CI/CD pipeline integration and security reporting for continuous code quality analysis in containerized environments.
Set up SonarQube branch analysis with pull request decoration for enhanced code quality workflows
Configure SonarQube Developer Edition with branch analysis capabilities and pull request decoration for GitHub and GitLab. Implement automated code quality checks in CI/CD pipelines with comprehensive branch coverage and merge request feedback.
Configure Kafka Connect for database integration with JDBC connectors and CDC
Set up Kafka Connect with JDBC connectors for real-time database integration and configure Debezium for change data capture. Monitor connector performance and troubleshoot common integration issues.
Configure GitLab container registry with SSL certificates and security hardening
Set up GitLab's integrated Docker registry with SSL/TLS encryption, security headers, and production-ready hardening for secure container image storage and distribution.
Configure GitLab LDAP authentication and user management with Active Directory integration
Set up GitLab LDAP authentication with Active Directory to centralize user management, enable automatic user provisioning, and implement group-based access control for your GitLab instance.
Configure Envoy proxy rate limiting and circuit breakers for microservices resilience
Learn to implement production-grade Envoy proxy with global and local rate limiting, circuit breakers, and health checks to build resilient microservices architecture that can handle traffic spikes and service failures gracefully.
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 Spark streaming with Kafka and MinIO for real-time analytics and big data processing
Build a production-ready real-time analytics pipeline using Apache Spark 3.5 streaming, Kafka for data ingestion, and MinIO for distributed object storage. This tutorial covers fault-tolerant streaming configurations and end-to-end pipeline implementation.
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 MinIO with Apache Spark 3.5 for big data analytics and object storage integration
Set up Apache Spark 3.5 with MinIO S3-compatible object storage for scalable big data analytics. Configure distributed storage, implement data lake patterns, and run production analytics workflows on your cluster infrastructure.
Implement Kubernetes admission controllers with OPA Gatekeeper for policy enforcement
Set up OPA Gatekeeper admission controllers to enforce security policies, resource governance, and compliance rules across your Kubernetes cluster with custom constraint templates.
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