A comprehensive technical guide for implementing LinkedIn automation using N8n and OpenAI, covering current API restrictions, HTTP Request workarounds and many more

How I Got n8n Running on Kubernetes

Snehasish Konger

A comprehensive guide to help you deploy n8n on Google Cloud using Google Kubernetes Engine for scalable, secure, and automated workflow management.

Deploy Local LLMs with Ollama and n8n for Private Workflows

Snehasish Konger

As privacy concerns rise, API-based large language models (LLMs) may not suit sensitive tasks. This guide shows you how to set up local LLMs with Ollama—a fully local, containerized runtime—integrated with n8n for automation. Learn to run LLMs on your premises, share models via HTTP, and create dynamic AI workflows while maintaining data control. With no third-party API interactions, you can build privacy-focused AI solutions for your business. Explore responsible AI automation!

What is Model Context Protocol(MCP)?

Snehasish Konger

Learn how to use MCP to give your AI applications real-time context—securely, modularly, and at scale. From architecture to integration examples, this blog has everything you need to get started with the new standard powering the next generation of AI agents.

Best Option to Deploy and Self-Host Your N8n Instance

Snehasish Konger

Compare 9 hosting platforms for self-hosting N8n workflows. From budget-friendly Hostinger ($4.99/month) to enterprise AWS solutions, find the perfect deployment option for your automation needs with detailed cost analysis and practical recommendations.