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
Set up Kubernetes container image security scanning with Trivy and admission controllers
securityConfigure NTP monitoring with Grafana dashboards and Prometheus alerting
monitoringConfigure Cherokee caching and compression for improved performance
performanceConfigure advanced Jaeger sampling strategies for high-traffic environments
monitoringConfigure Jaeger distributed tracing on Kubernetes cluster with Helm charts and Elasticsearch backend
monitoringConfigure Kubernetes cluster autoscaler with mixed instance types for cost optimization
Set up Kubernetes cluster autoscaler 1.30 with mixed instance types and spot instances to automatically scale nodes based on demand while minimizing infrastructure costs through intelligent instance selection and workload optimization.
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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