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 Deno for web development with systemd and reverse proxy
hostingInstall and configure Caddy web server with automatic HTTPS and reverse proxy
hostingInstall and configure Ollama for local AI models on Linux servers
devopsInstall and configure Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure Uptime Kuma for website monitoring with SSL and email alerts
monitoringRecently published
Optimize MongoDB 8.0 performance with advanced indexing strategies and aggregation pipelines
databasesConfigure ClamAV cluster with Kubernetes deployment for high availability antivirus scanning
securityOptimize Elasticsearch 8 search performance with custom analyzers and field mappings
databasesConfigure CockroachDB SSL encryption and security hardening
securityConfigure MySQL backup monitoring with Prometheus alerts and Grafana dashboards
monitoringConfigure Linux filesystem tuning and optimization for database workloads
Optimize Linux filesystem performance for database workloads by configuring mount options, I/O schedulers, and kernel parameters to maximize database throughput and minimize latency.
Optimize ClickHouse performance for large datasets with advanced tuning and memory management
Optimize ClickHouse for high-performance analytics on multi-terabyte datasets with advanced memory tuning, storage engine configuration, query optimization strategies, and distributed clustering for production workloads.
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