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 PostgreSQL 17 with performance tuning and security hardening
databasesInstall and configure ArgoCD for GitOps continuous deployment with RBAC and SSL
devopsInstall and configure Loki for centralized log aggregation with Grafana integration
monitoringRecently published
Monitor MongoDB 8.0 performance with Prometheus and Grafana for real-time metrics and alerting
monitoringConfigure Prometheus Alertmanager with email notifications for production monitoring
monitoringOptimize ClickHouse performance for large datasets with advanced tuning and memory management
databasesConfigure HAProxy SSL termination with Let's Encrypt and security headers
networkingConfigure Apache HTTP Server clustering with mod_cluster and JBoss EAP for enterprise load balancing
hostingInstall and configure Podman for rootless containers on Linux
Learn to install Podman and configure rootless containers as a secure Docker alternative. Includes Docker Compose migration, systemd integration, and troubleshooting common permission issues.
Install and configure Ollama for local AI models on Linux servers
Set up Ollama to run large language models locally on your Linux server. This tutorial covers installation, GPU acceleration, model deployment, API configuration, and performance optimization.
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