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This project represents a microservices shopping app (from GoogleCloudPlatform/microservices-demo) encapsulated with a personal CI/CD pipeline to demonstrate a full functional workflow in all DevOps stages

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Ghass-M/deploy-ready-microservices-app

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Continuous Integration

Online Boutique is a cloud-first microservices demo application. The application is a web-based e-commerce app where users can browse items, add them to the cart, and purchase them.

Architecture

Online Boutique is composed of 11 microservices written in different languages that talk to each other over gRPC.

Find Protocol Buffers Descriptions at the ./protos directory.

Service Language Description
frontend Go Exposes an HTTP server to serve the website. Does not require signup/login and generates session IDs for all users automatically.
cartservice C# Stores the items in the user's shopping cart in Redis and retrieves it.
productcatalogservice Go Provides the list of products from a JSON file and ability to search products and get individual products.
currencyservice Node.js Converts one money amount to another currency. Uses real values fetched from European Central Bank. It's the highest QPS service.
paymentservice Node.js Charges the given credit card info (mock) with the given amount and returns a transaction ID.
shippingservice Go Gives shipping cost estimates based on the shopping cart. Ships items to the given address (mock)
emailservice Python Sends users an order confirmation email (mock).
checkoutservice Go Retrieves user cart, prepares order and orchestrates the payment, shipping and the email notification.
recommendationservice Python Recommends other products based on what's given in the cart.
adservice Java Provides text ads based on given context words.
loadgenerator Python/Locust Continuously sends requests imitating realistic user shopping flows to the frontend.

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This project represents a microservices shopping app (from GoogleCloudPlatform/microservices-demo) encapsulated with a personal CI/CD pipeline to demonstrate a full functional workflow in all DevOps stages

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