Funko Rocks ShoppingCart

This API serves the purpose of showing development, backend and devops skills of this Developer.

Sumary

Overview
Technology
Deployment
Developer

Overview

This API solves the problem:

As a shopper, I want to add and remove products from my shopping cart and see what I already have in it.

And aims to show these specific functionalities:

I can add products to my basket
I can remove products from my basket
I can see which products are in my basket
I can see costs for the items in my basket
A subtotal displays and gets updated whenever I make a changes to my cart

This API is public available in http://35.199.115.126 and was deployed using Google Cloud Kubernetes.

The API is decoupled from the website, so the server and the website exists in different machines and hosts. Also manages the use of one ShoppingCart per user session.

Technology

The API was develop using Java, in its version 8, and uses the SpringBoot as a development framework. It communicates through its endpoints using REST and JSON.

Along with the SpringBoot framework, were used:

spring-boot-starter-web to handle the HTTP requests and responses
spring-boot-starter-actuator to monitor the application
spring-session-jdbc to handle the session between HTTP calls
h2 embedded database to handle the session persistence
Tomcat embedded application server the default application server from spring-boot-starter-web
spring-boot-starter-test to handle the unit-tests and integration tests
maven-surefire-plugin and maven-failsafe-plugin also for testing purpose, unit-testing and integration tests, respectively
maven-checkstyle-plugin to check the coding style and some best practices
dockerfile-maven-plugin to handle the image built along with Dockerfile

Its deployment is made via Docker and Kubernetes, the Dockerfile and Kubernetes deployment and service configuration files are present in this repository.

Deployment

Steps for the deployment, considering a Kubernetes cluster:

Creates the docker image and push it to Google Cloud Container Registry
Creates the cluster in the Google Cloud Kubernetes Engine
Creates the deployments and service using kubectl creates command
Allows firewall access to the 80 port
Access the application using a browser or some Postman like applications

This steps wasn't fully describe (in command line basis), cause the devop can choose deploy it by the UI or Command Line, choosing whatever be quickly and safe.

Developer