Cloud Workflows Using Azure Pipelines and Databricks
How I Automated My Cloud Workflows Using Azure Pipelines and Databricks In one of my recent projects, I wanted to eliminate manual deployment and automate my end-to-end cloud workflow—from pushing code to triggering data jobs. I chose Azure Pipelines to handle the CI/CD process, and integrated it with Databricks to trigger data workflows after successful deployment. Here’s a look into how I set it all up—and how it made development smoother and faster. What I Needed to Automate The project stack included: A .NET Core API hosted on Azure App Service Databricks notebooks for post-deployment data processing Code stored in GitHub Deployment and data workflow automation using Azure Pipelines My goal was simple: Every code push to the main branch should automatically build, test, deploy the API, and then trigger a Databricks job. Setting Up Azure Pipelines Azure Pipelines lets you define your ...