Author's): Samvardhan Singh
Originally published in Towards Artificial Intelligence.
Learn how to build a custom node for automatic AI infrastructure monitoring and pipeline diagnostics in neural network training
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This article discusses n8n, a powerful open-source workflow automation platform, detailing its architecture and capabilities for creating custom nodes to enhance automated AI infrastructure monitoring and neural network training diagnostics. The article highlights n8n's extensibility and modular approach to programming, illustrating in various sections how to create workflows for real-time tasks, manage automation data using databases such as SQLite, PostgreSQL and MySQL, and implement scalability features with Redis to handle large workloads. Finally, it offers a tutorial on creating a self-correcting custom node that integrates AI monitoring, showing practical coding steps and strategies for deploying enterprise applications.
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