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Deploy Scalable Application on Databricks Apps integrated with FastAPI
Latest   Machine Learning

Deploy Scalable Application on Databricks Apps integrated with FastAPI

Author(s): Akash Verma

Originally published on Towards AI.

Deploy Scalable Application on Databricks Apps integrated with FastAPI

This is very interesting we are going to deploy the sackable Generative Application on Databricks Apps.

Deploy Scalable Application on Databricks Apps integrated with FastAPI

Deploy Scalable Application on Databricks Apps integrated with FastAPI

The article outlines the steps necessary to deploy a scalable generative AI application using Databricks Apps in conjunction with FastAPI, covering essential topics such as security, scalability, and monitoring. It emphasizes the ideal features of Databricks for this purpose, highlighting its capabilities for processing large-scale data and enabling smooth integrations with popular frameworks. The piece details critical steps for deploying the application, including setting up local environments, preparing the Databricks workspace, and monitoring the application post-deployment, while also discussing potential limitations and the best practices to ensure efficient and secure deployment within the Databricks ecosystem.

Read the full blog for free on Medium.

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