Machine data API Home Exercise

Intro

Your purpose of this work is to create a client library in Go or Java to access our simulated machine data API service.

What to do

• Client library should be written in Go or Java
• Add documentation to your code
• You need to implement the Add, Get, List and Remove operations on the machine resource. You should support paging for List as well.
• Don't forget to write human-readable tests to get the quality level you would expect in production.
• Please, reach out for help in case you have any problem/question (contact: Andrei Petelin, andrei.petelin@flexlink.com).

What NOT to do

• Don't use a rest api library for your client. Test libraries are OK.
• Don't use a code generation

Docker

• If you are not familiar with Docker, skip this section
• Modify the existing docker-compose.yaml file, add your section
• We will check your work by running docker-compose up and looking at your tests running the client connecting to provided machine API service.
• Machine API service simulate unstable behavior sometimes as a real service in Web.
• When you are running docker compose, machine api Swagger UI is available at http://localhost:8115/swagger/index.html

How to submit your exercise

• Include your name in the README
• Create a private repository on GitHub
• Copy the docker-compose.yaml from this repository. Skip this step, if you are not familiar with Docker
• Add @flexlink-code-review as a collaborator to your private repository in repo Settings / Manage access
• Please inform our recruitment team you have completed the exercise