Inheritance from microservices-demo and gitops-istio with inspiration
Installation:
flux bootstrap github \
--owner=phuongleeo \
--repository=gitops-demo \
--path=cluster \
--personal=true \
--branch=master \
--components-extra=image-reflector-controller,image-automation-controller \
--read-write-key \
--personal
Online Boutique is a cloud-native microservices demo application. Online Boutique consists of a 10-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.
Looking for the old Hipster Shop frontend interface? Use the manifests in release v0.1.5.
| Home Page | Checkout Screen |
|---|---|
 |
 |
- Create a Google Cloud Platform project or use an existing project. Set the
PROJECT_IDenvironment 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}
gcloud services enable monitoring.googleapis.com \
cloudtrace.googleapis.com \
clouddebugger.googleapis.com \
cloudprofiler.googleapis.com \
--project ${PROJECT_ID}
- Clone this repository.
git clone https://github.com/GoogleCloudPlatform/microservices-demo.git
cd microservices-demo
- Create a GKE cluster.
- GKE autopilot mode (see Autopilot overview to learn more):
REGION=us-central1
gcloud container clusters create-auto onlineboutique \
--project=${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
- Deploy the sample app to the cluster.
kubectl apply -f ./release/kubernetes-manifests.yaml
- 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
- Access the web frontend in a browser using the frontend's
EXTERNAL_IP.
kubectl get service frontend-external | awk '{print $4}'
Example output - do not copy
EXTERNAL-IP
<your-ip>
Note- you may see <pending> while GCP provisions the load balancer. If this happens, wait a few minutes and re-run the command.
- [Optional] Clean up:
gcloud container clusters delete onlineboutique \
--project=${PROJECT_ID} --zone=${ZONE}
- 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
redisdatabase with hosted Google Cloud Memorystore (redis).
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.
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.
If you would like to contribute features or fixes to this app, see the Development Guide on how to build this demo locally.
- 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.