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 PostgreSQL 17 SSL encryption and certificate-based authentication
databasesSet up HAProxy SSL termination with Let's Encrypt certificates
networkingConfigure HAProxy with Consul for dynamic service discovery
networkingConfigure PostgreSQL 17 connection pooling with PgBouncer for high availability
databasesConfigure Kubernetes secrets management with External Secrets Operator and HashiCorp Vault
devopsConfigure Spark on Kubernetes with cluster autoscaling for dynamic workloads
Deploy Apache Spark 3.5 on Kubernetes with automatic cluster scaling, dynamic resource allocation, and comprehensive monitoring for production data processing workloads.
Set up GitLab CI/CD with Kubernetes runners for scalable deployments
Configure GitLab Runner with Kubernetes executor to automatically scale CI/CD workloads. Set up RBAC permissions, deploy pipelines to Kubernetes clusters, and implement resource management policies for efficient container orchestration.
Configure Kubernetes ingress controller with NGINX and SSL certificates using cert-manager
Set up NGINX Ingress Controller with automated SSL certificate management using cert-manager for secure routing of external traffic to your Kubernetes services. Configure custom domains, SSL automation, and advanced routing rules for production workloads.
Configure centralized cron management with Ansible automation and systemd timers
Set up automated cron job deployment and monitoring across multiple servers using Ansible playbooks with systemd timers for reliable task scheduling and centralized logging.
Configure container resource limits with Docker and systemd for production workloads
Learn to set memory, CPU, and I/O limits for Docker containers using both Docker runtime constraints and systemd service limits. Master cgroups v2 integration for bulletproof resource management in production environments.
Configure Linux cgroups v2 for container resource management and isolation
Set up cgroups v2 for container resource limits, CPU and memory isolation, and performance monitoring with systemd integration across modern Linux distributions.
Configure Linux process scheduling and CPU affinity for performance optimization
Learn to optimize Linux process performance by configuring CPU scheduling priorities, CPU affinity, and systemd resource management for better workload distribution and reduced context switching.
Implement Kubernetes pod disruption budgets for high availability during scaling events
Configure Pod Disruption Budgets to ensure application availability during cluster maintenance and scaling operations. Learn to implement PDB policies, test disruption scenarios, and maintain service continuity in Kubernetes.
Set up Linux storage monitoring with smartmontools and automated health alerts
Monitor disk health and prevent storage failures with S.M.A.R.T monitoring, automated email alerts, and custom dashboards. Covers smartd daemon configuration, health checks, and integration with monitoring systems.
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.
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.
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