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 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.

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1. Ensure you have the following requirements:

   • Google Cloud project.
   • Shell environment with gcloud, git, and kubectl.

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. 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. 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.

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 ./protos 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.

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

• Use Azure Redis Cache with the Online Boutique sample on AKS
• Sail Sharp, 8 tips to optimize and secure your .NET containers for Kubernetes
• Deploy multi-region application with Anthos and Google cloud Spanner
• Use Google Cloud Memorystore (Redis) with the Online Boutique sample on GKE
• 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.