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 Uptime Kuma for website monitoring with SSL and email alerts
monitoringInstall and configure Caddy web server with automatic HTTPS and reverse proxy
hostingInstall and configure TimescaleDB with PostgreSQL for high-performance time-series data
databasesInstall and configure Ollama for local AI models on Linux servers
devopsRecently published
Configure HAProxy with Consul for dynamic service discovery and automatic backend updates
networkingImplement Istio multi-cluster canary deployments and traffic splitting
devopsImplement HAProxy WAF integration with ModSecurity 3 for advanced threat protection
securityConfigure PostgreSQL 17 SSL encryption and certificate-based authentication
databasesSet up HAProxy SSL termination with Let's Encrypt certificates
networkingMonitor Kubernetes network policies with Prometheus and Grafana for enhanced cluster security
Set up comprehensive monitoring for Kubernetes network policies using Prometheus and Grafana. Configure CNI metrics collection, create security dashboards, and implement alerting for policy violations and traffic anomalies.
Configure 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.
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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