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, and gRPC. 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 (Google employees): Please fill out the form at go/microservices-demo if you are using this application.

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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.

PROJECT_ID="<your-project-id>"
gcloud services enable container.googleapis.com --project ${PROJECT_ID}

2. Clone this repository.

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

3. Create a GKE cluster.

• GKE autopilot mode (see Autopilot overview to learn more):

REGION=us-central1
gcloud container clusters create-auto onlineboutique \
    --project=${PROJECT_ID} --region=${REGION}

• GKE Standard mode:

ZONE=us-central1-b
gcloud container clusters create onlineboutique \
    --project=${PROJECT_ID} --zone=${ZONE} \
    --machine-type=e2-standard-2 --num-nodes=4

4. Deploy the sample app to the cluster.

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

5. 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

7. 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

EXTERNAL-IP
<your-ip>

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

8. [Optional] Clean up:

gcloud container clusters delete onlineboutique \
    --project=${PROJECT_ID} --zone=${ZONE}

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

• Istio/Anthos Service Mesh: See these instructions.
• non-GKE clusters (Minikube, Kind): see the Development Guide

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

• integrating with Google Cloud Operations
• replacing the in-cluster Redis cache with Google Cloud Memorystore (Redis), AlloyDB or Google Cloud Spanner
• etc.

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

Find Protocol Buffers Descriptions at the ./pb directory.

• 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.

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

• Use Helm to simplify the deployment of Online Boutique, with a Service Mesh, GitOps, and more!
• How to reduce microservices complexity with Apigee and Anthos Service Mesh
• gRPC health probes with Kubernetes 1.24+
• Use Google Cloud Spanner with the Online Boutique sample
• Seamlessly encrypt traffic from any apps in your Mesh to Memorystore (redis)
• Strengthen your app's security with Anthos Service Mesh and Anthos Config Management
• From edge to mesh: Exposing service mesh applications through GKE Ingress
• Take the first step toward SRE with Cloud Operations Sandbox
• Deploying the Online Boutique sample application on Anthos Service Mesh
• Anthos Service Mesh Workshop: Lab Guide
• KubeCon EU 2019 - Reinventing Networking: A Deep Dive into Istio's Multicluster Gateways - Steve Dake, Independent
• Google Cloud Next'18 SF
  • Day 1 Keynote showing GKE On-Prem
  • Day 3 Keynote showing Stackdriver APM (Tracing, Code Search, Profiler, Google Cloud Build)
  • Introduction to Service Management with Istio
• Google Cloud Next'18 London – Keynote showing Stackdriver Incident Response Management

This is not an official Google project.