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.
Browse by topic
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 ArgoCD for GitOps continuous deployment with RBAC and SSL
devopsInstall and configure CockroachDB cluster with high availability and distributed SQL
databasesInstall and configure PostgreSQL 17 with performance tuning and security hardening
databasesInstall and configure Loki for centralized log aggregation with Grafana integration
monitoringInstall and configure WireGuard VPN server with client management
networkingRecently published
Configure Nagios SNMP monitoring for network devices with automated discovery and templates
monitoringIntegrate Elasticsearch 8 with Prometheus monitoring and Grafana dashboards
monitoringSet up NGINX web application firewall with ModSecurity 3 and OWASP Core Rule Set
securityConfigure NGINX reverse proxy with advanced caching and load balancing
hostingConfigure Netdata alerts with Slack and Microsoft Teams for real-time monitoring notifications
monitoringImplement Airflow DAG monitoring with DataDog integration for production workflows
Set up comprehensive monitoring for Apache Airflow DAGs using DataDog integration. This tutorial covers DataDog agent installation, metrics collection configuration, custom dashboard creation, and alerting rules for production workflow observability.
Setup SonarQube scanner for multiple programming languages with automated code quality analysis
Configure SonarQube Scanner CLI to analyze Java, Python, JavaScript, and C# projects with automated quality gates and CI/CD integration. Streamline code quality analysis across your entire development pipeline with Docker and Jenkins automation.
Implement comprehensive Apache Airflow DAG testing and validation strategies with pytest and best practices
Learn to implement production-grade testing for Apache Airflow DAGs using pytest, including unit tests for DAG structure validation, integration testing with test databases, and automated validation pipelines with CI/CD integration.
Need help?
Don't want to manage this yourself?
We handle infrastructure for businesses that depend on uptime. From initial setup to ongoing operations.
Talk to an engineer