Under the Hood: Understanding tools like n8n and building Custom Nodes for Enterprise AI Workflows

Author(s): Samvardhan Singh Originally published on Towards AI. Learn how to build a Custom Node for Automated AI Infrastructure Monitoring and Neural Network Training Pipeline Diagnostics If you’re not a medium member, access this article for free here. image by authorThis article explores n8n, a powerful open-source workflow automation platform, detailing its architecture and capabilities for building custom nodes to enhance automated AI infrastructure monitoring and neural network training diagnostics. The article emphasizes n8n’s extensibility and modular development approach, illustrating through various sections how to create workflows for real-time tasks, manage automation data using databases like SQLite, PostgreSQL, and MySQL, and implement scalability features with Redis for handling high workloads. It concludes by offering a tutorial for building a self-correcting custom node that integrates AI monitoring, showing practical coding steps and deployment strategies for enterprise applications. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI