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
Configure 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
hostingSetup Prometheus Blackbox Exporter for endpoint monitoring with SSL and alerting
monitoringImplement 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.
Set up Kubernetes custom metrics autoscaling with Prometheus adapter for application-specific scaling
Configure Prometheus adapter to expose custom application metrics to Kubernetes Horizontal Pod Autoscaler for intelligent scaling based on business metrics like queue depth, response time, and user load instead of basic CPU/memory usage.
Configure Kubernetes resource quotas and limit ranges for namespace-level resource management
Set up Kubernetes resource quotas and limit ranges to control CPU, memory, and storage consumption at the namespace level. This tutorial covers implementing resource constraints, monitoring usage, and troubleshooting quota issues for multi-tenant cluster management.
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.
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