bullet VS Sidekiq

Rails has Bullet[0] to help identify and warn you against N+1

Does Django have anything active? Quick search revealed nplusone[1] but its been dead since 2018.

[0] https://github.com/flyerhzm/bullet

[1] https://github.com/jmcarp/nplusone

Without seeing more of the app, it's tough to say for certain, but one gem you might find helpful is the [bullet](https://github.com/flyerhzm/bullet) gem -- set this up in the app then start browsing around the app in development. If you have any N+1 queries or other minor optimizations that could be done it will inform you about them.

Getting rid of N+1 queries - This can help improve the speed of an app. The Bullet or Prosopite gems can give a lending hand here. The N+1 Dilemma — Bullet or Prosopite? entails a brief comparison of both.

There's a Ruby gem called Bullet that identifies and warns developers about N+1 problems. You can also have it fail tests if detected.

I don't know if the approach is possible with every ORM or if it's just leveraging some Ruby perks, but I can't think of a good reason why you wouldn't use the equivalent everywhere.

https://github.com/flyerhzm/bullet

You might consider adding the bullet gem as a development requirement and see what it tells you, it's generally pretty good at spotting n-queries and letting you know how to fix them.

As a Rails developer, recently I found Bullet [0] which helps massively in dealing with eager loading. For some reason I expected the framework to manage this sort of thing for me, even when Rails actually does a ton out of the box already. Only while refactoring I picked up on queries dragging performance. Oh well...

[0] https://github.com/flyerhzm/bullet

This is good advice, it'll likely pick out some glaring issues right away. I would generally recommend looking at DB queries here too and recommend Bullet, but most software like DataDog, AppSignal etc will often also point N+1 and issues like it out.

In order to find all those N + 1 queries that are slowing down in your application, the community recommends using the Bullet gem.

There's something wrong at Redislabs, it took them over a year to get RESP3 rolled out into their hosted service, you'd expect a rollout of that to be a bit quicker when they're the owner of Redis.

It affected us when upgrading Sidekiq to version 7, which dropped support for older Redis, and their Envoy proxy setup didn't support HELLO and RESP3: https://github.com/sidekiq/sidekiq/issues/5594

That depends on how the `maxmemory-policy` is configured, and queue systems based on Redis will tell you not to allow eviction. https://github.com/sidekiq/sidekiq/wiki/Using-Redis#memory (it even logs a warnings if it detects your Redis is misconfigured IIRC).

Sidekiq https://sidekiq.org/: This one started as an open source project, once it got enough traction, the developer made a premium version of it, and makes money by selling licenses to businesses.

Sidekiq will drop in-progress jobs when a worker crashes. Sidekiq Pro can recover those jobs but with a large delay. Sidekiq is excellent overall but it’s not suitable for processing critical jobs with a low latency guarantee.

https://github.com/sidekiq/sidekiq/wiki/Reliability

> I'm not sure feature withholding has traditionally worked out well in the developer space.

I think it's worked out well for Sidekiq (https://sidekiq.org). I really like their model of layering valuable features between the OSS / Pro / Enterprise licenses.

I was studying Sidekiq's page on rate limiters. The first type of rate limiting mentioned is the concurrent limiter: only n tasks are allowed to run at any point in time. Note that this is independent of time units (e.g. per second), or how long they take to run. The only limitation is the number of concurrent tasks/requests.

The code above isn't idempotent. If you run it twice, it will create two copies, which is probably not what you intended. Why is this important? Because most backend job processors like Sidekiq don't make any guarantees that your jobs will run exactly once.