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
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Security
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Performance
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Databases
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DevOps
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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 Ollama for local AI models on Linux servers
devopsInstall and configure TimescaleDB with PostgreSQL for high-performance time-series data
databasesRecently published
Configure Kubernetes secrets management with External Secrets Operator and HashiCorp Vault
devopsIntegrate Jaeger with Istio service mesh for distributed tracing
devopsConfigure Consul Connect service mesh monitoring with distributed tracing
monitoringConfigure Kubernetes RBAC with service accounts and cluster roles for secure access control
devopsImplement Deno microservices architecture with service discovery and load balancing
devopsConfigure OpenLiteSpeed load balancing with multiple backend servers
Set up OpenLiteSpeed as a reverse proxy and load balancer to distribute traffic across multiple backend application servers with health checks and automatic failover for high availability.
Implement Lighttpd 1.4 load balancing with multiple backend servers for high availability
Configure Lighttpd 1.4 with mod_proxy for load balancing across multiple backend web servers. Set up health checks, SSL termination, and failover mechanisms for production environments.
Setup Grafana alerting with Slack and Microsoft Teams integration
Configure Grafana's unified alerting system to send notifications to Slack and Microsoft Teams. Set up alert rules, notification policies, and webhook integrations for comprehensive monitoring coverage.
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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