Learn from comprehensive technical tutorials with step-by-step guides, code examples, and best practices.
This tutorial provides a comprehensive, technical deep-dive into using Dokploy to transform a bare-metal VPS into a powerful, automated deployment platform. It covers the architectural decisions, security considerations, and orchestration strategies required to host production-grade applications with zero-trust networking and seamless CI/CD pipelines.
The moment you provision a Virtual Private Server (VPS) and bind it to a public IP address, it is under attack. Within minutes, automated botnets will begin relentlessly brute-forcing Port 22, scanning for weak credentials and misconfigurations. Relying on password authentication or simple non-standard port obfuscation is a naive gamble. To build a truly robust, production-ready deployment platform, we must shift our paradigm from perimeter defense to zero-trust architecture.
A deep-dive tutorial demonstrating how to deploy n8n—a powerful, self-hosted workflow automation tool—to automatically monitor and alert on AI agent failures within your unified infrastructure.
This tutorial walks through the deployment of MinIO, a high-performance S3-compatible object storage server, on TrueNAS SCALE. It covers the architectural rationale for using MinIO as a centralized data vault in a self-hosted personal cloud environment, the technical steps to configure it with ZFS datasets and TLS encryption, and the security considerations for exposing S3 APIs within a zero-trust Tailscale mesh network.
This tutorial guides you through setting up a self-hosted Vaultwarden instance on TrueNAS Scale, emphasizing data sovereignty and zero-trust security principles.
This tutorial provides a step-by-step guide to deploying Milvus, a high-performance vector database, on a repurposed nine-year-old gaming PC running TrueNAS Scale. It covers the architectural decisions behind using Portainer for container orchestration, the translation of Docker Compose files for persistent ZFS storage, and the critical resource management techniques necessary to run enterprise-grade AI workloads on legacy hardware.
