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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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 Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure Ollama for local AI models on Linux servers
devopsConfigure Linux system time synchronization with chrony and NTP hardening
linuxRecently published
Set up Kafka Streams testing framework with TopologyTestDriver for automated stream processing validation
devopsBenchmark database performance with sysbench and fio integration
databasesConfigure automated system maintenance with advanced cron scheduling and shell scripts
linuxConfigure Consul multi-datacenter WAN federation for geographic redundancy
devopsConfigure PHP-FPM with NGINX reverse proxy and SSL certificates
hostingAll tutorials
Browse complete directory →Configure NGINX rate limiting and DDoS protection with advanced security rules
Set up NGINX rate limiting modules, implement connection limits, and configure geographic blocking to protect your web applications from DDoS attacks and abuse.
Configure centralized logging with rsyslog and logrotate for system monitoring and log management
Set up a centralized logging system using rsyslog server to collect logs from multiple clients, implement TLS encryption for secure transmission, and configure logrotate for automated log rotation and management.
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.
Configure Apache Airflow DAG performance optimization best practices
Optimize Apache Airflow DAGs for production with parallelism tuning, resource allocation strategies, and performance monitoring. Learn executor configuration, task dependency optimization, and troubleshooting techniques for high-throughput workflows.
Implement WireGuard multi-site mesh networking with automatic routing and failover
Deploy a scalable WireGuard mesh network across multiple sites with automatic routing, failover mechanisms, and centralized management for high-availability site-to-site connectivity.
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 ArgoCD with SonarQube quality gates for GitOps deployment validation
Set up automated quality gate validation in ArgoCD using SonarQube webhooks and pre-sync hooks to prevent deployments that fail code quality standards. This integration ensures only code that passes your quality criteria gets deployed to production.
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.
Set up Apache Airflow performance monitoring with DataDog agent integration and custom dashboards
Configure comprehensive Apache Airflow monitoring using DataDog agent to track DAG performance, task execution metrics, and resource utilization with custom dashboards and automated alerting for production workflow management.
Implement Airflow load balancing with Celery executor for high availability workflows
Set up Apache Airflow with Celery executor, Redis cluster backend, HAProxy load balancing, and auto-scaling workers for production-grade workflow orchestration with high availability.
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