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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Monitoring
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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
devopsSet up Kubernetes monitoring with Prometheus Operator and custom metrics
Deploy a production-grade monitoring stack with Prometheus Operator, configure ServiceMonitor resources for automatic scraping, and create custom alerting rules with Grafana dashboards for comprehensive Kubernetes cluster observability.
Configure advanced Grafana dashboards and alerting with Prometheus integration
Build production-ready Grafana dashboards with dynamic variables, custom panels, and sophisticated alert rules. Integrate Prometheus metrics for comprehensive monitoring with multi-condition alerting and notification channels.
Configure Kubernetes network policies for enhanced cluster security
Implement granular network security controls in Kubernetes using Calico CNI. Learn to create ingress and egress policies, namespace isolation, and label-based microsegmentation for production clusters.
Set up Kubernetes persistent volume snapshots and backup automation
Configure CSI snapshot controllers, create persistent volume snapshots, and implement automated backup strategies with Velero for production Kubernetes environments.
Setup DuckDB with Apache Airflow for automated data pipelines
Configure DuckDB as a high-performance analytical database backend for Apache Airflow workflows. Build automated data pipelines that process files, APIs, and databases using DuckDB's columnar engine.
Configure FRRouting route maps and prefix lists for advanced routing policies
Set up FRRouting with route maps and prefix lists to control BGP route advertisement, implement traffic engineering, and create sophisticated routing policies for enterprise networks.
Configure Prometheus alerting rules for cgroup metrics monitoring and container resource alerts
Set up comprehensive Prometheus alerting rules for monitoring cgroup resource usage with automated threshold alerts for CPU, memory, and I/O limits. Configure Alertmanager notifications for container resource exhaustion and system health monitoring.
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.
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.
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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