/nkokrta_ecommerce

cloud-native ecommerce, ten microservices; kubernetes, istio, and gRPC.

Primary LanguageGoApache License 2.0Apache-2.0

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.

Google uses this application to demonstrate how developers can modernize enterprise applications using Google Cloud products, including: Google Kubernetes Engine (GKE), Anthos Service Mesh (ASM), gRPC, Cloud Operations, Spanner, Memorystore, AlloyDB, and Gemini. This application works on any Kubernetes cluster.

If you’re using this demo, please ★Star this repository to show your interest!

Note to Googlers: Please fill out the form at go/microservices-demo.

Architecture

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

Architecture of microservices

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.

Screenshots

Home Page Checkout Screen
Screenshot of store homepage Screenshot of checkout screen

Quickstart (GKE)

  1. Ensure you have the following requirements:

  2. Clone the latest major version.

    git clone --depth 1 --branch v0 https://github.com/GoogleCloudPlatform/microservices-demo.git
cd microservices-demo/

    The --depth 1 argument skips downloading git history.

  3. Set the Google Cloud project and region and ensure the Google Kubernetes Engine API is enabled.

    export PROJECT_ID=<PROJECT_ID>
export REGION=us-central1
gcloud services enable container.googleapis.com \
  --project=${PROJECT_ID}

    Substitute <PROJECT_ID> with the ID of your Google Cloud project.

  4. Create a GKE cluster and get the credentials for it.

    gcloud container clusters create-auto online-boutique \
  --project=${PROJECT_ID} --region=${REGION}

    Creating the cluster may take a few minutes.

  5. Deploy Online Boutique to the cluster.

    kubectl apply -f ./release/kubernetes-manifests.yaml

  6. Wait for the pods to be ready.

    kubectl get pods

    After a few minutes, you should see the Pods in a Running state:

    NAME                                     READY   STATUS    RESTARTS   AGE
adservice-76bdd69666-ckc5j               1/1     Running   0          2m58s
cartservice-66d497c6b7-dp5jr             1/1     Running   0          2m59s
checkoutservice-666c784bd6-4jd22         1/1     Running   0          3m1s
currencyservice-5d5d496984-4jmd7         1/1     Running   0          2m59s
emailservice-667457d9d6-75jcq            1/1     Running   0          3m2s
frontend-6b8d69b9fb-wjqdg                1/1     Running   0          3m1s
loadgenerator-665b5cd444-gwqdq           1/1     Running   0          3m
paymentservice-68596d6dd6-bf6bv          1/1     Running   0          3m
productcatalogservice-557d474574-888kr   1/1     Running   0          3m
recommendationservice-69c56b74d4-7z8r5   1/1     Running   0          3m1s
redis-cart-5f59546cdd-5jnqf              1/1     Running   0          2m58s
shippingservice-6ccc89f8fd-v686r         1/1     Running   0          2m58s

  7. Access the web frontend in a browser using the frontend's external IP.

    kubectl get service frontend-external | awk '{print $4}'

    Visit http://EXTERNAL_IP in a web browser to access your instance of Online Boutique.

  8. Congrats! You've deployed the default Online Boutique. To deploy a different variation of Online Boutique (e.g., with Google Cloud Operations tracing, Istio, etc.), see Deploy Online Boutique variations with Kustomize.

  9. Once you are done with it, delete the GKE cluster.

    gcloud container clusters delete online-boutique \
  --project=${PROJECT_ID} --region=${REGION}

    Deleting the cluster may take a few minutes.

Additional deployment options

  • Terraform: See these instructions to learn how to deploy Online Boutique using Terraform.
  • Istio / Anthos Service Mesh: See these instructions to deploy Online Boutique alongside an Istio-backed service mesh.
  • Non-GKE clusters (Minikube, Kind, etc): See the Development guide to learn how you can deploy Online Boutique on non-GKE clusters.
  • AI assistant using Gemini: See these instructions to deploy a Gemini-powered AI assistant that suggests products to purchase based on an image.
  • And more: The /kustomize directory contains instructions for customizing the deployment of Online Boutique with other variations.

Documentation

  • Development to learn how to run and develop this app locally.

Demos featuring Online Boutique