Pry VS BeanstalkD

that's surprising considering `pry`[1] is such an amazing debugger IMO.

[1] https://github.com/pry/pry

All of my recent tutorials and projects were primarily managed using the default Ruby REPL, irb, and I must say it's been nothing short of amazing. However, what ultimately prompted me to switch to Pry was its offering of better defaults. But what exactly does that mean? Let me demonstrate:

For older versions: Pry Gem

To do that, I would install `pry` into your rails project and then use it look around right before your test fails.https://github.com/pry/pry

This means I can be editing a shell script and easily inject arbitrary regions into a shell buffer for immediate testing (point never leaves the window where I am editing, and I can view the shell output in an adjacent window). This is similar to what Robe does with Pry within an inferior Ruby process using comint.

https://pry.github.io/ - also a lot of features from Pry have made it into the default IRB these days, but I still use pry. I don't know the equivalent commands in IRB.

For debugging, while not multi-threaded, to my knowledge, is the pry gem for debugging. There are a few different flavors, for instance, my favorite is pry-byebug.

There's beanstalkd, it has a few Python libraries and it works out of the box with ActiveJob via Backburner.

https://beanstalkd.github.io/

Messaging/Queueing Systems (Amazon SQS, RabbitMQ, Beanstalkd)

Not when a queue is involved. IME trying to replicate something like beanstalkd (https://beanstalkd.github.io/) in postgres is asking for trouble for anything but trivial workloads.

If you're measuring throughput in jobs/s, use a real work queue.

Before Kafka was a standard, I created a go library for beanstalkd that act like an RPC.

Then there are queue libraries like beanstalkd, RabbitMQ or built-in features like queues from Laravel. These will probably get you quicker to your goal then trying the process managing route.

The only task queue I loved was beanstalkd -- it's beautifully written and highly performant. Starting it takes seconds and it's been running for a decade:

https://beanstalkd.github.io/

It's not rust (it's C), but beanstalkd is a pretty incredible work queue that processes millions of jobs a day (10K+/s at peak) for my company. I know there are a few rust drivers available.