Online E-Commerce 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.
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| Home Page | Checkout Screen |
|---|---|
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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. |
- gRPC: Microservices use a high volume of gRPC calls to communicate to each other.
- Istio: Application works on Istio service mesh.
- Skaffold: Application is deployed to Kubernetes with a single command using Skaffold.
- Synthetic Load Generation: The application demo comes with a background job that creates realistic usage patterns on the website using Locust load generator.
See the Development guide to learn how to run and develop this app locally.