Seaweed File System
rq
Seaweed File System | rq | |
---|---|---|
49 | 27 | |
14,960 | 9,523 | |
- | 0.8% | |
9.9 | 8.6 | |
over 1 year ago | 3 days ago | |
Go | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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Seaweed File System
- An open-source distributed object storage service
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Moving to github.com/seaweedfs/seaweedfs
FYI: Planning to move from github.com/chrislusf/seaweedfs to github.com/seaweedfs/seaweedfs in the coming days. It may cause some problem for package reference, building, documents, and links. Sorry for the change!
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S3 Isn't Getting Cheaper
Besides storage itself, S3 API access cost can be high if frequently accessed. And latency is unpredicatble.
You can use SeaweedFS Remote Object Store Gateway to cache S3 (or any S3 API compatible vendors) to local servers, and access them at local network speed, and asynchronously sync back to S3.
https://github.com/chrislusf/seaweedfs/wiki/Gateway-to-Remot...
- ### Release 3.12 · chrislusf/seaweedfs
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Minio in production
If you are looking at MinIO you might find SeaweedFS interesting as well.
- SeaweedFS and YDB
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Cost effective managed key-value store?
I believe what you want is a horizontally scalable object store with tiered storage. SeaweedFS is free / open source https://github.com/chrislusf/seaweedfs
- A way to store and query large (up to 1GB) user defined objects.
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Question: does anyone know Storage Provider with S3 as persistence layer?
I don't know if it fits all of your requests, but you can take a look at seaweedfs, which is pretty good
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Introducing Garage, our self-hosted distributed object storage solution
Seaweedfs deserves a mention here for comparison as well.
rq
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Redis Re-Implemented with SQLite
That's pretty cool. Reckon it would work with existing code that calls Redis over the wire for RQ?
https://python-rq.org
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The Many Problems with Celery
https://github.com/rq/rq is to the rescue.
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Keep the Monolith, but Split the Workloads
We use RQ[0], it has Redis as a dependency. It’s pretty straightforward and we’re very happy with it. If you are using Django you may want to look at Django RQ[1] as well. RQ has built in scheduling capabilities these days, but historically it did not so we used (and still use) RQ Scheduler[2] which I think still has some advantages over the built in stuff.
[0] https://python-rq.org/
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SQL Maxis: Why We Ditched RabbitMQ and Replaced It with a Postgres Queue
Also had a similar experience using RabbitMQ with Django+Celery. Extremely complicated and workers/queues would just stop for no reason.
Moved to Python-RQ [1] + Redis and been rock solid for years now.
[1] https://python-rq.org/
- Ask HN: Redis Queue Hacks and Questions
- What libraries do you use the most alongside django?
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Recommendations other than celery to send an API processing in background, which would only take 5 mins to process and API usage would be once a month or so.
Yep, rq is simple and good: https://python-rq.org/ It also has a Django wrapper: https://github.com/rq/django-rq
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GPU instance crashes when two python processes use the same pt file
We have a GPU (G5) instance that uses Python RQ (https://python-rq.org/).
- Dynamically update periodic tasks in Celery and Django
- Celery + RabbitMQ alternatives
What are some alternatives?
minio - The Object Store for AI Data Infrastructure
celery - Distributed Task Queue (development branch)
Ceph - Ceph is a distributed object, block, and file storage platform
huey - a little task queue for python
GlusterFS - Web Content for gluster.org -- Deprecated as of September 2017
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
Apache Hadoop - Apache Hadoop
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
MooseFS - MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
procrastinate - PostgreSQL-based Task Queue for Python
lizardfs - LizardFS is an Open Source Distributed File System licensed under GPLv3.
Apache Kafka - Mirror of Apache Kafka