Best of Faun — October 2025

  1. 1
    Article
    Avatar of faunFaun·32w

    My n8n Journey: From Zero to Building AI-Powered Tools

    A developer shares their journey learning n8n workflow automation from scratch, starting with simple weather API integrations and progressing to building Quik8n, a Chrome extension that uses AI to generate n8n workflows. The post includes practical learning resources, a step-by-step workflow creation methodology, and advice for beginners to experiment with the self-hosted version. The author emphasizes community learning, iterative development, and the value of hands-on experimentation in mastering automation tools.

  2. 2
    Article
    Avatar of faunFaun·32w

    My Kubestronaut journey

    A developer shares their experience completing all five CNCF Kubernetes certifications (KCNA, CKA, KCSA, CKAD, and CKS) over three months to become a Kubestronaut. The post details exam scores, preparation strategies, study resources used, and technical challenges encountered during the certification process, particularly with the PSI Secure Browser on Mac. Includes a GitHub repository with study notes, course recommendations, and practical tips for each certification exam.

  3. 3
    Article
    Avatar of faunFaun·34w

    OWASP Top 10 for Appliction Programming Interfaces

    Explores the OWASP API Security Top 10, detailing critical vulnerabilities like broken object level authorization, broken authentication, and SSRF. Each vulnerability is explained with practical code examples showing how attackers exploit these weaknesses and what defenses developers should implement. Includes guidance on authorization checks, rate limiting, input validation, configuration hardening, and API inventory management to prevent data breaches and system compromises.

  4. 4
    Article
    Avatar of faunFaun·34w

    Deploying a Complete RAG Ecosystem with a Single Command: My Ultimate Docker Stack

    A comprehensive Docker Compose stack that deploys a complete RAG (Retrieval-Augmented Generation) infrastructure with a single command. The setup includes Ollama for local LLM execution, Qdrant for vector search, MongoDB for document storage, Redis for caching, Neo4j for knowledge graphs, Keycloak for authentication, and n8n for workflow automation. The stack can be configured for CPU-only, GPU-accelerated, or external API usage, with automated setup scripts that handle dependencies and provide instant access to all services. Neo4j integration enables advanced relationship mapping between documents and entities, enriching context beyond traditional vector search.

See all Faun archives