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

Online Boutique

Continuous Integration

Online Boutique is a cloud-first microservices demo application. Online Boutique consists of an 11-tier microservices 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 use of technologies like Kubernetes/GKE, Istio, Stackdriver, gRPC and OpenCensus. This application works on any Kubernetes cluster, as well as Google Kubernetes Engine. 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: Please fill out the form at go/microservices-demo if you are using this application.


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

Quickstart (GKE)

Open in Cloud Shell

  1. Create a Google Cloud Platform project or use an existing project. Set the PROJECT_ID environment variable and ensure the Google Kubernetes Engine and Cloud Operations APIs are enabled.
gcloud services enable container.googleapis.com --project ${PROJECT_ID}
gcloud services enable monitoring.googleapis.com \
    cloudtrace.googleapis.com \
    clouddebugger.googleapis.com \
    cloudprofiler.googleapis.com \
    --project ${PROJECT_ID}
  1. Clone this repository.
git clone https://github.com/GoogleCloudPlatform/microservices-demo.git
cd microservices-demo
  1. Create a GKE cluster.
gcloud container clusters create-auto onlineboutique \
    --project=${PROJECT_ID} --region=${REGION}
  • GKE Standard mode:
gcloud container clusters create onlineboutique \
    --project=${PROJECT_ID} --zone=${ZONE} \
    --machine-type=e2-standard-2 --num-nodes=4
  1. Deploy the sample app to the cluster.
kubectl apply -f ./release/kubernetes-manifests.yaml
  1. Wait for the Pods to be ready.
kubectl get pods

After a few minutes, you should see:

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
  1. Access the web frontend in a browser using the frontend's EXTERNAL_IP.
kubectl get service frontend-external | awk '{print $4}'

Example output - do not copy


Note- you may see <pending> while GCP provisions the load balancer. If this happens, wait a few minutes and re-run the command.

  1. [Optional] Clean up:
gcloud container clusters delete onlineboutique \
    --project=${PROJECT_ID} --zone=${ZONE}

Other Deployment Options

  • Google Cloud Operations (Monitoring, Tracing, Debugger, Profiler): See these instructions.
  • Workload Identity: See these instructions.
  • Istio: See these instructions.
  • Anthos Service Mesh: ASM requires Workload Identity to be enabled in your GKE cluster. See the workload identity instructions to configure and deploy the app. Then, use the service mesh guide.
  • non-GKE clusters (Minikube, Kind): see the Development Guide
  • Memorystore: See these instructions to replace the in-cluster redis database with hosted Google Cloud Memorystore (redis).
  • Cymbal Shops Branding: See these instructions
  • NetworkPolicies: See these instructions


Online Boutique is composed of 11 microservices written in different languages that talk to each other over gRPC. See the Development Principles doc for more information.

Architecture of

Find Protocol Buffers Descriptions at the ./pb 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.


  • 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.
  • OpenCensus Tracing: Most services are instrumented using OpenCensus trace interceptors for gRPC/HTTP.
  • Cloud Operations (Stackdriver): Many services are instrumented with Profiling, Tracing and Debugging. 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.

Local Development

If you would like to contribute features or fixes to this app, see the Development Guide on how to build this demo locally.

Demos featuring Online Boutique

This is not an official Google project.