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# Hipster Shop: Cloud-Native Microservices Demo Application
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This project contains a 10-tier microservices application. The application is a
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web-based e-commerce app called ** “Hipster Shop”** where users can browse items,
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add them to the cart, and purchase them.
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**Google uses this application to demonstrate Kubernetes, GKE, Istio,
Stackdriver, gRPC** and similar cloud-native technologies nowadays.
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## Screenshots
| Home Page | Checkout Screen |
|-----------|-----------------|
| [![Screenshot of store homepage ](./img/hipster-shop-frontend-1.png )](./img/hipster-shop-frontend-1.png) | [![Screenshot of checkout screen ](./img/hipster-shop-frontend-2.png )](./img/hipster-shop-frontend-2.png) |
## Service Architecture
**Hipster Shop** is composed of many microservices written in different
languages that talk to each other over gRPC.
[![Architecture of
microservices](./img/architecture-diagram.png)](./img/architecture-diagram.png)
Find **Protocol Buffers Descriptions** at the [`./pb` directory ](./pb ).
| Service | Language | Description |
|---------|----------|-------------|
| [frontend ](./src/frontend ) | Go | Exposes an HTTP server to serve the website. Does not require signup/login and generates session IDs for all users automatically. |
| [cartservice ](./src/cartservice ) | C# | Stores the items in the user's shipping cart in Redis and retrieves it. |
| [productcatalogservice ](./src/productcatalogservice ) | Go | Provides the list of products from a JSON file and ability to search products and get individual products. |
| [currencyservice ](./src/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 ](./src/paymentservice ) | Node.js | Charges the given credit card info (hypothetically😇) with the given amount and returns a transaction ID. |
| [shippingservice ](./src/shippingservice ) | Go | Gives shipping cost estimates based on the shopping cart. Ships items to the given address (hypothetically😇) |
| [emailservice ](./src/emailservice ) | Python | Sends users an order confirmation email (hypothetically😇). |
| [checkoutservice ](./src/checkoutservice ) | Go | Retrieves user cart, prepares order and orchestrates the payment, shipping and the email notification. |
| [recommendationservice ](./src/recommendationservice ) | Python | Recommends other products based on what's given in the cart. |
| [loadgenerator ](./src/loadgenerator ) | Python/Locust | Continuously sends requests imitating realistic user shopping flows to the frontend. |
## Features
- **[Kubernetes](https://kubernetes.io)/[GKE](https://cloud.google.com/kubernetes-engine/):**
The app is designed to run on Kubernetes (both locally on "Docker for
Desktop", as well as on the cloud with GKE).
- **[gRPC](https://grpc.io):** Microservices use a high volume of gRPC calls to
communicate to each other.
- **[Istio](https://istio.io):** Application works on Istio service mesh.
- **[OpenCensus](https://opencensus.io/) Tracing:** Most services are
instrumented using OpenCensus trace interceptors for gRPC/HTTP.
- **[Stackdriver APM](https://cloud.google.com/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](https://github.com/GoogleContainerTools/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 ](https://locust.io/ ) load generator.
## Installation
> **Note:** that the first build can take up to 20-30 minutes. Consequent builds
> will be faster.
### Option 1: Running locally with “Docker for Desktop”
> 💡 Recommended if you're planning to develop the application.
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1. Install tools to run a Kubernetes cluster locally:
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- kubectl (can be installed via `gcloud components install kubectl` )
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- Docker for Desktop (Mac/Windows): It provides Kubernetes support as [noted
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here](https://docs.docker.com/docker-for-mac/kubernetes/).
- [skaffold ](https://github.com/GoogleContainerTools/skaffold/#installation )
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1. Launch “Docker for Desktop”. Go to Preferences and choose “Enable Kubernetes”.
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1. Run `kubectl get nodes` to verify you're connected to “Kubernetes on Docker”.
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1. Run `skaffold run` (first time will be slow, it can take ~20-30 minutes).
This will build and deploy the application. If you need to rebuild the images
automatically as you refactor he code, run `skaffold dev` command.
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1. Run `kubectl get pods` to verify the Pods are ready and running. The
application frontend should be available at http://localhost:80 on your
machine.
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### Option 2: Running on Google Kubernetes Engine (GKE)
> 💡 Recommended for demos and making it available publicly.
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1. Install tools specified in the previous section (Docker, kubectl, skaffold)
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1. Create a Google Kubernetes Engine cluster and make sure `kubectl` is pointing
to the cluster.
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gcloud services enable container.googleapis.com
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gcloud container clusters create demo --enable-autoupgrade \
--enable-autoscaling --min-nodes=3 --max-nodes=10 --num-nodes=5
kubectl get nodes
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2. Enable Google Container Registry (GCR) on your GCP project and configure the
`docker` CLI to authenticate to GCR:
gcloud services enable containerregistry.googleapis.com
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gcloud auth configure-docker -q
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3. Edit `skaffold.yaml` , prepend your GCR registry host (`gcr.io/YOUR_PROJECT/`)
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to all `imageName:` fields (or update the existing project name).
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4. Edit the Deployment manifests in
[`./kubernetes-manifests` ](./kubernetes-manifests ) directory and update the
`image:` fields to match the changes you made in the previous step.
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5. Run `skaffold run` from the root of this repository. This command:
- builds the container images
- pushes them to GCR
- applies the `./kubernetes-manifests` deploying the application to
Kubernetes.
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6. Find the IP address of your application, then visit the application on your
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browser to confirm installation.
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kubectl get service frontend-external
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### (Optional) Deploying on a Istio-installed cluster
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> **Note:** you followed GKE deployment steps above, run `skaffold delete` first
> to delete what's deployed.
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1. Create a GKE cluster.
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2. Install Istio **without mutual TLS** option. (Istio mTLS is not yet supported
on this demo.)
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3. Install the automatic sidecar injection (annotate the `default` namespace
with the label):
kubectl label namespace default istio-injection=enabled
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4. Apply the manifests in [`./istio-manifests` ](./istio-manifests ) directory.
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kubectl apply -f ./istio-manifests
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This is required only once.
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5. Deploy the application with `skaffold run` .
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6. Run `kubectl get pods` to see pods are in a healthy and ready state.
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7. Find the IP address of your istio gateway Ingress or Service, and visit the
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application.
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INGRESS_HOST="$(kubectl -n istio-system get service istio-ingressgateway -o jsonpath='{.status.loadBalancer.ingress[0].ip}')"
echo "$INGRESS_HOST"
curl -v "http://$INGRESS_HOST"
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---
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**Note to fellow Googlers:** Please fill out the form at
[go/microservices-demo ](http://go/microservices-demo ) if you are using this
application.
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This is not an official Google project.