Write an efficient and fault tolerant job scheduler

This project focuses on connecting mentors and mentees on a daily basis.

A job scheduler is required to automate this process.

I have written the code but need a second opinion on how to improve the performance in terms of memory and time. This might include improvements to the setup of the collections and / or improvements to the way I use the mongoose ORM and / or the way I structure my steps in code.

Deliverables

Stack: Node.js, Mongoose, MongoDB

The stack should account for scaling to 1 million users

Fault Tolerant Daily Scheduler

- Scheduler runs two types of jobs: scheduling daily profile and notifying user of new daily profile

- There are 2 types of users: mentor and mentee

- The scheduling job schedules the next daily profile for each user in the collection

- The daily scheduling should be 1-1

- E.g. If mentor A is recommended mentee A, then mentee A is recommended mentor A and not mentor B

- Profiles should not be scheduled for a user if they’ve been scheduled before

- If there are spillover mentors or mentees, then default to scheduling a user that hasn’t been scheduled before

- The notification job executes at 9am in the user’s timezone

Node.js MongoDB JavaScript

Nº del proyecto: #30173602

Sobre el proyecto