KubeFlow

Cloud-Native Application on Google Cloud Platform (GCP)

Project Architecture

This project demonstrates the creation of a cloud-native application on the Google Cloud Platform (GCP) using containerization, CI/CD pipelines, and Google Kubernetes Engine (GKE). The application consists of two microservices that interact with each other, providing file storage and product calculation capabilities.

Table of Contents

• Project Overview
• Microservices
• CI/CD Pipeline
• GKE Cluster
• Persistent Volume (PV)
• API Endpoints

Project Overview

The goal of this project is to build a cloud-native application on GCP with the following key components:

• Microservices: Two microservices are developed to interact with each other. These microservices are containerized using Docker and deployed in GKE.

• CI/CD Pipeline: CI/CD pipelines are set up using GCP tools, including Cloud Build, to automate the build and deployment of microservices.

• GKE Cluster: A GKE cluster is provisioned using Terraform with specific configurations to save costs. It consists of a single node and a persistent disk.

• Persistent Volume (PV): A persistent volume is attached to the GKE cluster, allowing the microservices to read and write files.

• API Endpoints: RESTful API endpoints are created for microservices to store files and calculate product totals.

• Deployment and Exposing Services: YAML files are used to deploy microservices and expose them as services to the internet.

Microservices

• Container 1: This microservice is responsible for storing files to the persistent volume, validating input JSON requests, and communicating with Container 2.

• Container 2: This microservice accesses the persistent volume, calculates the total of a product from a given file, and communicates with Container 1.

CI/CD Pipeline

• Cloud Source Repository is used to store the source code of both microservices.
• Cloud Build is used to automate the build and deployment process whenever new code commits are pushed.

GKE Cluster

• A GKE cluster is created using Terraform with specific configurations to save costs:
  • Single node.
  • Container-Optimized OS with containers.
  • E2 series, e2-micro machine type.
  • Standard persistent disk.

Persistent Volume (PV)

• A persistent volume is attached to the GKE cluster and mounted at /Kisgoreganesh_PV_dir.

API Endpoints

• /store-file: Container 1 stores files in the persistent volume based on JSON input.
• /calculate: Container 2 calculates the total of a product from a given file.

Feel free to explore the project and use it as a reference for building your own cloud-native applications on GCP.