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 Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure Ollama for local AI models on Linux servers
devopsInstall and configure Uptime Kuma for website monitoring with SSL and email alerts
monitoringRecently published
Implement Node.js application monitoring with Prometheus metrics collection and Grafana dashboards
monitoringConfigure advanced nftables logging and monitoring for network security
securityConfigure Nginx Redis cluster caching for high availability and performance optimization
performanceConfigure custom SNMP MIBs for vendor-specific monitoring with SNMP v2c and v3
monitoringImplement NGINX Plus active health checks for enterprise environments
hostingConfigure Kubernetes vertical pod autoscaler for resource optimization and cost management
Set up VPA to automatically adjust CPU and memory requests for your Kubernetes workloads. Reduce resource waste and optimize costs by letting VPA analyze actual usage patterns and rightsizing containers.
Implement Kubernetes workload rightsizing with VPA recommendations and cost analysis
Set up Vertical Pod Autoscaler to automatically optimize resource requests and limits for your Kubernetes workloads. Create cost analysis dashboards to track resource utilization and identify opportunities for rightsizing containers in production clusters.
Deploy applications to Kubernetes with Helm charts and production best practices
Learn how to create production-ready Helm charts for Kubernetes deployments with proper templating, values management, security configurations, and environment-specific customizations for scalable application orchestration.
Configure Kubernetes horizontal pod autoscaler for dynamic scaling based on resource metrics
Set up HPA with CPU and memory targets for automatic pod scaling. Configure metrics server and Prometheus adapter for custom metrics monitoring. Enable dynamic workload scaling based on resource utilization.
Setup Apache Airflow cluster with Kubernetes Executor for auto-scaling workflows
Deploy production-grade Apache Airflow with Kubernetes Executor for dynamic workflow scaling. Configure PostgreSQL backend, RBAC authentication, and auto-scaling policies with Prometheus monitoring integration.
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