Sidekiq
Resque
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Sidekiq | Resque | |
---|---|---|
91 | 5 | |
12,931 | 9,388 | |
0.4% | 0.1% | |
8.9 | 4.1 | |
10 days ago | 5 months ago | |
Ruby | Ruby | |
GNU Lesser General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Sidekiq
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solid_queue alternatives - Sidekiq and good_job
3 projects | 21 Apr 2024
I'd say Sidekiq is the top competitor here.
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Valkey Is Rapidly Overtaking Redis
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
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Redis Re-Implemented with SQLite
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).
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3 one-person million dollar online businesses
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.
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Choose Postgres Queue Technology
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
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We built the fastest CI in the world. It failed
> 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.
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Exploring concurrent rate limiters, mutexes, semaphores
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.
- Ask HN: What are some of the most elegant codebases in your favorite language?
- Sidekiq and managing resumable jobs?
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Organize Business Logic in Your Ruby on Rails Application
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.
Resque
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Mike Perham of Sidekiq: “If you build something valuable, charge money for it.”
The free version acts exactly like Resque, the previous market leader in Ruby background jobs. If it was good enough reliability for GitHub and Shopify to use for years, it was good enough for Sidekiq OSS too.
Here's Resque literally using `lpop` which is destructive and will lose jobs.
https://github.com/resque/resque/blob/7623b8dfbdd0a07eb04b19...
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Add web scraping data into the database at regular intervals [ruby & ror]
You can use a background job queue like Resque to scrape and process data in the background, and a scheduler like resque-scheduler to schedule jobs to run your scraper periodically.
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How to run a really long task from a Rails web request
So how do we trigger such a long-running process from a Rails request? The first option that comes to mind is a background job run by some of the queuing back-ends such as Sidekiq, Resque or DelayedJob, possibly governed by ActiveJob. While this would surely work, the problem with all these solutions is that they usually have a limited number of workers available on the server and we didn’t want to potentially block other important background tasks for so long.
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Building a dynamic staging platform
Background jobs are another limitation. Since only the Aha! web service runs in a dynamic staging, the host environment's workers would process any Resque jobs that were sent to the shared Redis instance. If your branch hadn't updated any background-able methods, this would be no big deal. But if you were hoping to test changes to these methods, you would be out of luck.
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Autoscaling Redis applications on Kubernetes 🚀🚀
Redis Lists are quite versatile and used as the backbone for implementing scalable architectural patterns such as consumer-producer (based on queues), where producer applications push items into a List, and consumers (also called workers) process those items. Popular projects such as resque, sidekiq, celery etc. use Redis behind the scenes to implement background jobs.
What are some alternatives?
Sneakers - A fast background processing framework for Ruby and RabbitMQ
Shoryuken - A super efficient Amazon SQS thread based message processor for Ruby
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
Sucker Punch - Sucker Punch is a Ruby asynchronous processing library using concurrent-ruby, heavily influenced by Sidekiq and girl_friday.
Apache Kafka - Mirror of Apache Kafka
celery - Distributed Task Queue (development branch)
good_job - Multithreaded, Postgres-based, Active Job backend for Ruby on Rails.
Que - A Ruby job queue that uses PostgreSQL's advisory locks for speed and reliability.