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Explore microservices CI/CD on GKE, mastering containerization, Kubernetes orchestration using Docker, GCP tools (Source Repository, Cloud Build, GKE), and Terraform. This repository serves as a hands-on resource for learning RESTful APIs, navigating GKE clusters with persistent volumes, offering practical insights for modern deployment.
An end-to-end ML model deployment pipeline on GCP: train in Cloud Shell, containerize with Docker, push to Artifact Registry, deploy on GKE, and build a basic frontend to interact through exposed endpoints. This showcases the benefits of containerized deployments, centralized image management, and automated orchestration using GCP tools.
Kubernetes manifests to deploy a flask application with nginx reverse proxy, redis cache and mysql database on Google Kubernetes Engine ensuring high availability and scalablility
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.
In this tutorial, we will register a package in GCP Artifact Registry both manually as well as with CICD. In the end, you will be able to install your own private package with pip just like you're used to.