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artifact-registry

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The goal of this project is to build a salary prediction model, encapsulate it in a Docker container, and set up a continuous integration and deployment (CI/CD) pipeline using Google Cloud Build and Google Cloud Deploy. This setup ensures that the model is automatically built, tested, and deployed to a Kubernetes cluster whenever changes are made.

  • Updated Aug 25, 2024
  • Python

Serverless Microservices for the GeoCore API, used internally for the core geospatial functionalities of the GeoSentry 🌍 Platform facilitated by the Terrarium package. The Services are built with Docker, stored on Artifact Registry, deployed on Cloud Run and discoverable with Service Directory.

  • Updated Jul 16, 2021
  • Python

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