Redis
celery
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Redis | celery | |
---|---|---|
311 | 43 | |
64,235 | 23,299 | |
1.7% | 1.6% | |
9.7 | 9.6 | |
2 days ago | about 23 hours ago | |
C | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
Redis
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Containerize your multi-services app with docker compose
Cache: a Redis cache
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Redis License Changed
I'm curious about something: I suppose Salvatore still owns the copyright for most of the code? The old license does include his copyright, up to 2020: https://github.com/redis/redis/blob/7.2/COPYING So I think this change couldn't have been done without his explicit consent? Or did he transferred his rights to RedisLabs or a foundation?
Redis.io no longer mentions open source.
They have still not changed meta description on their page. It still says it is open source ^^
view-source:https://redis.io/
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Redis Adopts Dual Source-Available Licensing
First they break lolwut (https://github.com/redis/redis/issues/12074) and now this.
Redis Inc. is moving the https://github.com/redis/redis/ project away from the three part BSD license to a dual license using two non-OSI approved license. This comes after previous comment from them saying that "... the Redis core license, which is and will always be licensed under the 3-Clause- BSD".
> They get paid for it. Don't try to spin this as if it's someone people working on it in their spare time out of the goodness of their heart. It's just their job.
No, you can't have this both ways. I'm the main contributor from AWS, and I've worked many times on weekends because I care about open source. I like helping people, I don't need to be paid to do it. Many of the AWS folks that made changes were normal engineers that were excited to be part of Redis. https://github.com/redis/redis/pull/10419 and https://github.com/redis/redis/pull/8621 are both examples of features someone from AWS built in their free time. We're all upset about this. Not because Redis deserves to get paid, it's that they acted like they were being good stewards of the open-source community and then they changed their mind.
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How to choose the right type of database
Redis: An open-source, in-memory data structure store supporting various data types. It offers persistence, replication, and clustering, making it ideal for more complex caching requirements and session storage.
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Delving Deeper: Enriching Microservices with Golang with CloudWeGo
In the bustling e-commerce landscape, Book Shop stands as a testament to CloudWeGo's capacity for seamless integration. Integrating middleware like Elasticsearch and Redis into a Kitex project to build a solid e-commerce system that rivals more complex platforms.
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Cryptoflow: Building a secure and scalable system with Axum and SvelteKit - Part 0
Redis - A storage to store tokens, and sessions etc.
celery
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Examples of using task scheduler with Go?
In the Django world, you'd probably rely on Celery to do this for you. You're probably looking for something similar that works with Go. https://github.com/celery/celery
- SynchronousOnlyOperation from celery task using gevent execution pool on django orm
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Taskiq: async celery alternative
RabbitMQ Classic mirror queues are very fragile to network partitioning. They are deprecated in favor of Quorum queues, but Celery doesn't support them yet : https://github.com/celery/celery/issues/6067
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Use Celery with any Django Storage as a Result Backend
The Celery package provides some number of (undocumented!) result backends to store task results in different local, network, and cloud storages. The django-celery-result package adds options to use Django-specific ORM-based result storage, as well as Django-specific cache subsystem.
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Django Styleguide
I spent 3 years building a high scale crawler on top of Celery.
I can't recommend it. We found many bugs in the more advanced features of Celery (like Canvas) we also ran into some really weird issues like tasks getting duplicated for no reason [1].
The most concerning problem is that the project was abandoned. The original creator is not working on it anymore and all issues that we raised were ignored. We had to fork the project and apply our own fixes to it. This was 4 years ago so maybe things improved since them.
Celery is also extremely complex.
I would recommend https://dramatiq.io/ instead.
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Processing input and letting user download the result
You can use celery to process the file for extraction, saving and creating rar/zip.
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RQ-Scheduler for tasks in far future?
Celery not usefull for long term future tasks (far future) · Issue #4522 · celery/celery (github.com)
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Dedicated backend resources per client
A different approach would be to have a main web application which would communicate with worker processes for time intensive operations as you describe. The web app would communicate with workers via some form of MQ or even database. Many solutions exists for that in different languages, one such solution is [Celery](https://github.com/celery/celery) primarily developed for Python but these days it also supports Node, Go, PHP and Rust.
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Alternative for Django Celery.
Django-q2 only requires one dependency (except for Django itself). Celery, requires quite a few: https://github.com/celery/celery/blob/master/requirements/default.txt
What are some alternatives?
dramatiq - A fast and reliable background task processing library for Python 3.
Apache Kafka - Mirror of Apache Kafka
huey - a little task queue for python
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
rq - Simple job queues for Python
kombu - Messaging library for Python.
arq - Fast job queuing and RPC in python with asyncio and redis.
Sidekiq - Simple, efficient background processing for Ruby
Redis - 🚀 A robust, performance-focused, and full-featured Redis client for Node.js.
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
Gearman