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 CockroachDB cluster with high availability and distributed SQL
databasesConfigure network interface monitoring with ICMP ping and connectivity testing
networkingInstall and configure ArgoCD for GitOps continuous deployment with RBAC and SSL
devopsInstall and configure PostgreSQL 17 with performance tuning and security hardening
databasesInstall and configure Loki for centralized log aggregation with Grafana integration
monitoringRecently published
Configure SonarQube LDAP authentication with Active Directory and user group management
securityImplement HAProxy WAF integration with ModSecurity 3 for advanced threat protection
securityIntegrate Zabbix 7 with network automation and orchestration tools using Ansible and Python APIs
monitoringSet up iptables high availability clustering with keepalived for automatic failover
networkingSet up centralized logging with rsyslog and logrotate for security events
securityConfigure Apache Airflow performance optimization with connection pooling and resource tuning
Optimize Apache Airflow performance through advanced connection pooling, resource tuning, and Celery executor configuration. Learn to scale workers, configure database pools, and implement comprehensive monitoring for production workflows.
Implement custom Prometheus exporters for application metrics collection and monitoring
Build production-grade custom Prometheus exporters in Python and Go to collect application-specific metrics. Learn exporter architecture, metric types, systemd deployment, and Prometheus integration for comprehensive application monitoring.
Set up Apache Airflow high availability with CeleryExecutor and Redis clustering
Deploy Apache Airflow in high availability mode using CeleryExecutor with Redis clustering for task distribution, PostgreSQL connection pooling, and load-balanced webservers for production-grade workflow orchestration.
Set up Apache Airflow DAG performance testing with Locust load testing framework
Learn to configure Locust for comprehensive Apache Airflow DAG performance testing, including automated load testing scenarios, metrics collection, and CI/CD integration for production-grade workflow optimization.
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.
Configure Apache Airflow monitoring with Prometheus alerts and Grafana dashboards
Set up comprehensive monitoring for Apache Airflow with Prometheus metrics collection, StatsD integration, and custom Grafana dashboards. Configure automated alerting for DAG failures, task timeouts, and system health issues.
Integrate Apache Airflow with Kubernetes RBAC and service accounts for secure workflow orchestration
Configure Apache Airflow KubernetesExecutor with proper RBAC permissions, service accounts, and role bindings to securely orchestrate workflows in Kubernetes environments with least-privilege access controls.
Install and configure Apache Airflow with PostgreSQL backend and secure production deployment
Learn to deploy Apache Airflow in production with PostgreSQL backend, systemd services, SSL/TLS encryption, and security hardening for enterprise workflow orchestration.
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