/microservices-demo

Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.

Primary LanguagePythonApache License 2.0Apache-2.0

Online Boutique

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 the use of technologies like Kubernetes, GKE, Istio, Stackdriver, and gRPC. This application works on any Kubernetes cluster, like Google Kubernetes Engine (GKE). It’s easy to deploy with little to no configuration.

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

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

Screenshots

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

Interactive quickstart (GKE)

Open in Cloud Shell

Quickstart (GKE)

  1. Ensure you have the following requirements:

  2. Clone the repository.

    git clone https://github.com/GoogleCloudPlatform/microservices-demo
cd microservices-demo/

  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. Confirm the services have been enabled for your project.

    gcloud services list --enabled --project=${PROJECT_ID}

  5. 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.

  6. Deploy Online Boutique to the cluster.

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

  7. 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

  8. 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.

  9. 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.

  10. 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.

Use Terraform to provision a GKE cluster and deploy Online Boutique

The /terraform folder contains instructions for using Terraform to replicate the steps from Quickstart (GKE) above.

Other deployment variations

Deploy Online Boutique variations with Kustomize

The /kustomize folder contains instructions for customizing the deployment of Online Boutique with different variations such as:

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.

Features

  • Kubernetes/GKE: The app is designed to run on Kubernetes (both locally on "Docker for Desktop", as well as on the cloud with GKE).
  • gRPC: Microservices use a high volume of gRPC calls to communicate to each other.
  • Istio: Application works on Istio service mesh.
  • Cloud Operations (Stackdriver): Many services are instrumented with Profiling and Tracing. In addition to these, using Istio enables features like Request/Response Metrics and Context Graph out of the box. When it is running out of Google Cloud, this code path remains inactive.
  • 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.

Development

See the Development guide to learn how to run and develop this app locally.

Demos featuring Online Boutique

This is not an official Google project.