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 Ollama for local AI models on Linux servers
devopsInstall and configure TimescaleDB with PostgreSQL for high-performance time-series data
databasesRecently published
Configure PostgreSQL 17 connection pooling with PgBouncer for high availability
databasesConfigure Kubernetes secrets management with External Secrets Operator and HashiCorp Vault
devopsIntegrate Jaeger with Istio service mesh for distributed tracing
devopsConfigure Consul Connect service mesh monitoring with distributed tracing
monitoringConfigure Kubernetes RBAC with service accounts and cluster roles for secure access control
devopsImplement Kubernetes security scanning with Falco and OPA Gatekeeper for runtime protection
Set up comprehensive Kubernetes security with Falco for runtime threat detection and OPA Gatekeeper for admission control policy enforcement. This tutorial covers installation, configuration, and custom security policies.
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.
Integrate TimescaleDB with Telegraf for metrics collection and time-series monitoring
Set up TimescaleDB with PostgreSQL and configure Telegraf to collect system and application metrics. Create continuous aggregates and monitoring dashboards for comprehensive time-series analysis and alerting.
Monitor Kubernetes cluster with Prometheus Operator for comprehensive observability
Set up complete cluster monitoring using Prometheus Operator with automated metrics collection, custom dashboards, and intelligent alerting for production Kubernetes environments.
Set up NGINX monitoring with Prometheus and Grafana for web server observability
Monitor your NGINX web server performance and health with Prometheus metrics collection and Grafana dashboards. Set up comprehensive observability including request rates, response times, error tracking, and automated alerting for production web servers.
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.
Configure OpenTelemetry sampling strategies for high-traffic applications
Learn how to implement probabilistic, deterministic, and adaptive sampling strategies in OpenTelemetry to optimize distributed tracing performance and reduce storage costs in high-traffic production environments.
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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