/microservices-demo

Sample cloud-native application with 10 microservices showcasing Kubernetes, Istio, gRPC and OpenCensus.

Primary LanguageC#Apache License 2.0Apache-2.0

Ballerina hackathon - KubeCon North America 2019

Ballerina hackathon is an open invitation to all the KubeCon NA 2019 attendees to use their Ballerina skills with Kubernetes to complete a series of coding challenges and win amazing prizes.

Overview

These coding challenges are all about having fun, learning a new programming language, mashing up microservices, and deploying them on Kubernetes. Here are some essential details about this hackathon.

  • Venue: KubeCon NA 2019

  • Start: Nov 19, 2019 10.00AM

  • End: Nov 21, 2019 12.00PM

  • Winners will be announced by Nov 21, 209 3.00 PM

Challenges

The challenges are based on the Hipster Shop: Cloud-Native Microservices Demo Application developed by Google Cloud. It is a web-based e-commerce application with 10 microservices written in different programming languages that talk to each other over gRPC. You can refer to the original README.md file to learn more about this application. Here is a brief overview of the service architecture.

Architecture of microservices

In this hackathon, your task is to implement the following microservices in Ballerina. We calculated the level of difficulty based on the Ballerina knowledge required as well as the LOC.

Service Level of Difficulty Language Description
currencyservice Easy Node.js Converts one money amount to another currency. Uses real values fetched from European Central Bank. It's the highest QPS service.
productcatalogservice Easy Go Provides the list of products from a JSON file and ability to search products and get individual products.
adservice Easy Java Provides text ads based on given context words.
cartservice Eedium C# Stores the items in the user's cart and retrieves it.
checkoutservice Hard C# Retrieves user cart, prepares order and orchestrates the payment, shipping and the email notification.

Implementation Instructions

We expect you to go through the instructions for each service before implementing the logic. You can refer to the original source code for more information.

Service Instructions
currencyservice
  1. Read the conversion data in /src/currencyservice/data/currency_conversion.json (you can copy it to your ballerina project)
  2. Then implement the logic to output the correct conversion based on the ratios in JSON data.
  3. The GetSupportedCurrencies and Convert resources have to be implemented.
productcatalogservice
  1. Read the product.json using IO operations. Convert the JSON[] in to Product record[].
  2. Then implement ‘ListProducts’, ‘GetProduct’, and ‘SearchProducts’ resources.
adservice
  1. Implement service to generate ads based on given context keys.
cartservice
  1. Implement the logic to update the user’s cart (add/remove) items or retrieve the cart.
  2. Instead of the Redis store in the original implementation, you can use a map<Cart> as an in-memory store for the Ballerina implementation.
checkoutservice
  1. This microservice is a service chaining example where you need to integrate with services, including payment, email, shipping, currency, cart, and product catalog services.

Read the product.json using IO operations. Convert the JSON[] in to Product record[]. Then implement ‘ListProducts’, ‘GetProduct’, and ‘SearchProducts’ resources.

Prizes

There are 5 challenges in this Ballerina hackathon. You need to complete all 5 challenges to be eligible for a prize.

[TODO] Document eligibility criteria

Getting started

Prerequisites

Ballerina

IDE Plugins

VSCode
IDEA

Docker and Kubernetes

  • Use Docker for Mac to install on Mac.
  • Use Docker for Windows to install on Windows.
  • Use Minikube to install on Linux.

GitHub Repository

  1. Create a private GitHub repository in your account. Do not fork this repository if you want to keep your code private during the hackathon. An example repository name would be ballerina-hackathon-kubecon-na-19
  2. Run the following commands to merge the microservices-demo content to your newly created repository.
    $ git clone https://github.com/<gitbubusername>/ballerina-hackathon-kubecon-na-19
    
    $ cd ballerina-hackathon-kubecon-na-19
    
    $ git remote add upstream https://github.com/ballerina-guides/microservices-demo.git
    
    $ git pull upstream master
    
    $ git push origin master

Running Hipster Shop Application (unchanged)

  1. Run the following command to deploy the app. This will take ~10 mins to complete. You will use pre-built container images that are available publicly, instead of building them yourself, which takes a long time

    kubectl apply -f ./release/kubernetes-manifests.yaml
  2. Run kubectl get pods to see whether pods are in a Ready state.

  3. If all the pods are running, kubectl get service/frontend-external

  4. Find the IP address of your application, then visit the application on your browser to confirm installation. (http://localhost:80 )

    kubectl get service/frontend-external

    Note: If you are on minikube, get the hostname by executing minikube ip. Example: <MINIKUBE_IP>:<FRONTEND_EXTERNAL_PORT>

    Congrats, You have successfully installed the default application by now.

  5. Run kubectl delete -f ./release/kubernetes-manifests.yaml to delete what's deployed.

Running Hipster Shop Application with Ballerina Services

To help you get started, We’ve already implemented the recommendation service in Ballerina, and the source code is available in the src/recommendatationservice_ballerina directory.

  1. Run the scripts/setup.sh script.

  2. Check pods with kubectl get pods

  3. Access the web UI (http://localhost:80 or http://<minikube_ip>:<port>)

  4. Run the scripts/shutdown.sh script to delete what's deployed.

Now that you’ve successfully installed and deployed the Hipster Shop application with one microservice written in Ballerina, it’s time to start working on the challenges.

The microservices in this application talk to each other over gRPC. I.e, the microservices that you are implementing will receive requests over gRPC and they will also integrate with other microservices over gRPC. You can find the protocol buffers description here.

The first step would be to generate Ballerina gRPC service skeletons and client stubs. You can follow the following guides to learn more about gRPC support in Ballerina.

Generating Ballerina source code for gRPC protocol buffers

Go to your repository directory and run the following command to generate Services from proto file.

ballerina grpc --input pb/demo.proto  --output stubs --mode service

Now the “stubs” directory will have the generated Ballerina services and client artifacts as below.

Services skeletons

  • AdService_sample_service.bal
  • CheckoutService_sample_service.bal
  • PaymentService_sample_service.bal
  • RecommendationService_sample_service.bal
  • ProductCatalogService_sample_service.bal
  • CurrencyService_sample_service.bal
  • CartService_sample_service.bal
  • EmailService_sample_service.bal
  • ShippingService_sample_service.bal

Client stubs

  • demo_pb.bal

Note: You can copy the relevant service skeleton file and the demo_pb.bal file to your project.

Let’s start by writing the recommendationservice in Ballerina. We’ve already implemented this service for your reference. Here are the steps that we followed. You can repeat the same for all 3 challenges.

Let's start with the Recommendation Service

In Ballerina, the code is structured using projects and modules. A module is a directory which provides collaboration, sharing, and reuse of Ballerina code. Projects can have multiple related modules. Please find more information here.

In this demo, our recommendation is to create a Ballerina project for each microservice. Let’s append “_ballerina” to the name of the microservices that you are working on.

[TODO]

Submission guidelines

Once you complete all 5 challenges, you can submit the source code and other details via the following mechanism.

  • Document everything that we need to be aware of your solution in the root README.md file of your repository.
  • Download a zip file of your GitHub repository using the GitHub web interface.
  • Then follow the instructions given in this Google form. [TODO]

Judging

A panel of judges will review each successful submission based on the following criteria.

[TODO]

Rules

  • You have to be a KubeCon North America 2019 attendee to participate in this hackathon.
  • [TODO]

FAQ

  1. How do I get help with queries related to the hackathon?

    If you have general questions on Ballerina, ask them on our Slack channel, Google group, or on Stackoverflow with the tag [ballerina]. If you have specific questions related to the hackathon, please visit the Ballerina booth(P13).

  2. Is this an individual challenge, or can I form a team for this?

    [TODO]

  3. Who can participate in the hackathon?

    You have to be a KubeCon North America 2019 attendee to participate in this hackathon.

  4. [TODO]

Hackathon policies?

[TODO]