170 lines
7.5 KiB
Markdown
170 lines
7.5 KiB
Markdown
# 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,
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Stackdriver, gRPC** and similar cloud-native technologies nowadays.
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## Screenshots
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| Home Page | Checkout Screen |
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|-----------|-----------------|
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| [](./img/hipster-shop-frontend-1.png) | [](./img/hipster-shop-frontend-2.png) |
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## Service Architecture
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**Hipster Shop** is composed of many microservices written in different
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languages that talk to each other over gRPC.
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[](./img/architecture-diagram.png)
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Find **Protocol Buffers Descriptions** at the [`./pb` directory](./pb).
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| Service | Language | Description |
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|---------|----------|-------------|
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| [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. |
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| [cartservice](./src/cartservice) | C# | Stores the items in the user's shipping cart in Redis and retrieves it. |
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| [productcatalogservice](./src/productcatalogservice) | Go | Provides the list of products from a JSON file and ability to search products and get individual products. |
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| [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. |
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| [paymentservice](./src/paymentservice) | Node.js | Charges the given credit card info (hypothetically😇) with the given amount and returns a transaction ID. |
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| [shippingservice](./src/shippingservice) | Go | Gives shipping cost estimates based on the shopping cart. Ships items to the given address (hypothetically😇) |
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| [emailservice](./src/emailservice) | Python | Sends users an order confirmation email (hypothetically😇). |
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| [checkoutservice](./src/checkoutservice) | Go | Retrieves user cart, prepares order and orchestrates the payment, shipping and the email notification. |
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| [recommendationservice](./src/recommendationservice) | Python | Recommends other products based on what's given in the cart. |
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| [loadgenerator](./src/loadgenerator) | Python/Locust | Continuously sends requests imitating realistic user shopping flows to the frontend. |
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## Features
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- **[Kubernetes](https://kubernetes.io)/[GKE](https://cloud.google.com/kubernetes-engine/):**
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The app is designed to run on Kubernetes (both locally on "Docker for
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Desktop", as well as on the cloud with GKE).
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- **[gRPC](https://grpc.io):** Microservices use a high volume of gRPC calls to
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communicate to each other.
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- **[Istio](https://istio.io):** Application works on Istio service mesh.
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- **[OpenCensus](https://opencensus.io/) Tracing:** Most services are
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instrumented using OpenCensus trace interceptors for gRPC/HTTP.
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- **[Stackdriver APM](https://cloud.google.com/stackdriver/):** Many services
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are instrumented with **Profiling**, **Tracing** and **Debugging**. In
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addition to these, using Istio enables features like Request/Response
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**Metrics** and **Context Graph** out of the box. When it is running out of
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Google Cloud, this code path remains inactive.
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- **[Skaffold](https://github.com/GoogleContainerTools/skaffold):** Application
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is deployed to Kubernetes with a single command using Skaffold.
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- **Synthetic Load Generation:** The application demo comes with a background
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job that creates realistic usage patterns on the website using
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[Locust](https://locust.io/) load generator.
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## Installation
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> **Note:** that the first build can take up to 20-30 minutes. Consequent builds
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> will be faster.
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### Option 1: Running locally with “Docker for Desktop”
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> 💡 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/).
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- [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).
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This will build and deploy the application. If you need to rebuild the images
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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
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application frontend should be available at http://localhost:80 on your
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machine.
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### Option 2: Running on Google Kubernetes Engine (GKE)
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> 💡 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
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to the cluster.
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gcloud services enable container.googleapis.com
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gcloud container clusters create demo --enable-autoupgrade \
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--enable-autoscaling --min-nodes=3 --max-nodes=10 --num-nodes=5
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kubectl get nodes
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2. Enable Google Container Registry (GCR) on your GCP project and configure the
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`docker` CLI to authenticate to GCR:
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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
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[`./kubernetes-manifests`](./kubernetes-manifests) directory and update the
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`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:
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- builds the container images
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- pushes them to GCR
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- applies the `./kubernetes-manifests` deploying the application to
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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
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> 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
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on this demo.)
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3. Install the automatic sidecar injection (annotate the `default` namespace
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with the label):
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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="$(kubectl -n istio-system get service istio-ingressgateway -o jsonpath='{.status.loadBalancer.ingress[0].ip}')"
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echo "$INGRESS_HOST"
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curl -v "http://$INGRESS_HOST"
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---
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**Note to fellow Googlers:** Please fill out the form at
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[go/microservices-demo](http://go/microservices-demo) if you are using this
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application.
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This is not an official Google project.
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