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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Web servers, reverse proxies, SSL, domains
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Firewalls, hardening, encryption, access control
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Databases
MySQL, PostgreSQL, Redis, backups, replication
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DNS, load balancing, VPN, TCP/IP, routing
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Monitoring
Logging, alerting, metrics, observability
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 TimescaleDB with PostgreSQL for high-performance time-series data
databasesInstall and configure Ollama for local AI models on Linux servers
devopsRecently published
Configure PostgreSQL 17 SSL encryption and certificate-based authentication
databasesSet up HAProxy SSL termination with Let's Encrypt certificates
networkingConfigure HAProxy with Consul for dynamic service discovery
networkingConfigure PostgreSQL 17 connection pooling with PgBouncer for high availability
databasesConfigure Kubernetes secrets management with External Secrets Operator and HashiCorp Vault
devopsConfigure Kubernetes cluster autoscaler with mixed instance types for cost optimization
Set up Kubernetes cluster autoscaler 1.30 with mixed instance types and spot instances to automatically scale nodes based on demand while minimizing infrastructure costs through intelligent instance selection and workload optimization.
Set up Docker Compose monitoring stack with Prometheus and Grafana for AI model performance tracking
Deploy a complete monitoring stack using Docker Compose with Prometheus for metrics collection and Grafana for visualization, specifically configured to track AI model performance metrics like inference latency, throughput, and resource utilization.
Deploy multiple Ollama instances with HAProxy load balancing for high availability AI model serving
Set up multiple Ollama instances behind HAProxy load balancer for high-availability AI model serving with health checks, SSL termination, and automatic failover to eliminate single points of failure.
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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Rotterdam 05:07 · bereikbaar in een bericht, geen ticketformulier