bull VS The gist

To implement the solution with a queue, I used a package called 'Bull' (https://github.com/OptimalBits/bull). It's a library that helps with distributed job control, providing some very useful solutions for this type of work, such as background job processing, queues with priorities (FIFO, LIFO, and others), among other features. 'Bull' uses Redis for queue storage, so if your application crashes for any reason, once it's back online, it will continue executing the processes that are in the queue. In our case, we'll use the FIFO (First in, first out) queue solution, meaning priority based on arrival order.

We use bull-js for our distributed queue and event-driven library.

I'm using the excellent Redis based Bull.js as a job queue on Kubernetes.

For Job Queue, NestJs provides a package named @nestjs/bull as an abstraction/wrapper on top of Bull, a popular, well-supported, high-performance Node. js-based Queue system implementation.

I'm working on a large ETL project that involves handling queues for file integration. Currently, we are using Redis with Bull (https://www.npmjs.com/package/bull) for this purpose. However, to streamline our architecture and address security concerns, we are considering migrating the queue to PostgreSQL.

BullMQ is a pretty solid choice: https://github.com/taskforcesh/bullmq It's the successor of Bull: https://github.com/OptimalBits/bull

For Node specifically, things like Streams, understanding the asynchronous model completely, and the event loop. Also, queues tend to get used a lot in Node, so understanding the basic concepts behind that and how to use something like bull would be useful.

To do this properly, you need to put the task into queue, so if there are 1000 simultaneous uploads it won't kill your server but will be processed one by one. For the queue, see bull. Image hostings like AWS have some functionality for processing on their side, as an option.

This is a memory intensive process though and Heroku is OOM'ing with R14 errors. For this they recommend migrating intensive work like this to a Background Job via Redis, implemented in Bull and Throng

Graphile worker has been great for me because it's a library that works with Postgres that allows me to queue jobs and execute them on the server without adding too many additional layers of complexity for being able to accomplish async tasks. (I'm aware of how popular bull is, but I don't want to add another data-store only for async tasks)

Bull is currently in maintenance mode, we are only fixing bugs. For new features check BullMQ, a modern rewritten implementation in Typescript. You are still very welcome to use Bull if it suits your needs, which is a safe, battle-tested library.

I use bullmq with node

You might consider using a queue for processing the request. I've found bullMQ, which works with Redis, to be a nice developer experience.

BullMQ is a pretty solid choice: https://github.com/taskforcesh/bullmq It's the successor of Bull: https://github.com/OptimalBits/bull

BullMQ

For Node.JS you can use something like BullMQ (https://github.com/taskforcesh/bullmq) and then dispatch jobs to the message queue with your worker handling the jobs. You can read about an example for Bull MQ here (https://deadsimplechat.com/blog/best-nodejs-schedulers/#2-bull)

bullmq seems like an open issue

In order to try and mitigate the OOMs. I read the Background Jobs in Node.JS with Redis blog post and implemented Heroku Data For Redis with ioredis, BullMQ and Throng,