| Task | Status |
|---|---|
| Task 1 - REST API | ✔️ |
| Task 2 - Kubernetes | ✔️ |
| Task 3 - UI | ✔️ |
| Task 4 - CI/CD | ✔️ |
| Task 5 - Data Science | Not done |
Task 3 uses NextJS Framework
Task 1 🔗
Implement an application in java which provides a REST API with endpoints for searching, creating and deleting “task” objects. Each “task” object should contain the following properties:
- name (task name, string)
- id (task ID, string)
- assignee (task assignee, string)
- project (project name, string)
- startTime (task start date/time, date)
- arunGovindProperty The value of this property should be set to 5 random characters from the string “ArunGovind”. Values should be generated by the program only.
Task 2 🔗
Use the application that you created in task #1. Create dockerfile and build docker image. Create kubernetes yaml manifests for the application (at least a deployment and a service). It’s ok to expose the application with a LoadBalancer or NodePort service or with an ingress. Spin up a single-node local Kubernetes cluster (Docker Desktop, Kind or Minikube) or use a managed cluster like EKS, AKS, GKE etc. Deploy MongoDB to the cluster (it’s ok to use a community helm chart for this, any other approach is fine as well). Then deploy the application to the cluster by applying your manifests. The following requirements should be fulfilled:
- you can bring your application up by applying your yaml manifests
- mongodb is running in a separate pod
- the application should take mongo connection details from the environment variables
- the app endpoints should be available from your host machine
- a persistent volume should be used to store the MongoDB data. I.e., when you delete the MongoDB pod the records in the db should not disappear.
Task 3 🔗
Create a WEB UI frontend for an application that you created for Task 1 using any UI framework of your choice. You should be able to create, show, search and delete records from your UI.
Task 4 🔗
Create a CI-CD pipeline for a sample application (built in task 1 and/or 3 above) using any CI-CD tool of your choice like Jenkins, Azure DevOps, Gitlab, Github Actions, AWS CodePipeline or any other tool of your choice. Include a code build and a docker build step in your pipeline.