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 Logstash 8 security pipelines with threat intelligence enrichment
monitoringConfigure Ansible Vault integration with HashiCorp Vault for secrets management
devopsImplement Thanos Ruler for distributed alerting and recording rules across Prometheus clusters
monitoringSet up Thanos Query and Compactor for distributed metrics querying
monitoringConfigure Kubernetes network monitoring with Hubble and Cilium for traffic visibility
monitoringConfigure 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.
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.
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 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.
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.
Implement Kubernetes cluster autoscaler for automatic node scaling
Configure Kubernetes cluster autoscaler to automatically add and remove worker nodes based on pod resource demands. This tutorial covers cloud provider integration, scaling policies, and monitoring for production-grade horizontal scaling.
Configure Kubernetes pod disruption budgets for high availability with policy enforcement
Learn to configure PodDisruptionBudget resources in Kubernetes to maintain application availability during voluntary disruptions. This tutorial covers creating disruption budgets, implementing policies for different workload types, and monitoring disruption events with kubectl.
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.
Implement Kubernetes cluster autoscaling with Helm charts and KEDA for dynamic workload scaling
Configure comprehensive Kubernetes autoscaling with cluster autoscaler for node management, KEDA for event-driven pod scaling, and vertical pod autoscaler for resource optimization. This tutorial covers production-grade deployment using Helm charts with monitoring and optimization strategies.
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