gocelery
nsq
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| gocelery | nsq | |
|---|---|---|
| 6 | 14 | |
| 2,316 | 24,561 | |
| 0.8% | 0.6% | |
| 0.0 | 6.3 | |
| 8 months ago | 2 days ago | |
| Go | Go | |
| MIT License | 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.
gocelery
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Golang task queue
I had a look at: 1. machinery - https://github.com/RichardKnop/machinery 2. go-celery - https://github.com/gocelery/gocelery 3. asynq - https://github.com/hibiken/asynq 3. taskq - https://github.com/vmihailenco/taskq
- How to plan and execute a large number of tasks in Go?
- Python/Django to Golang questions
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Switching from Celery and Python to Go
What about https://github.com/gocelery/gocelery ?
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For those running Go in production at scale, what do you use for distributed task queues?
go-celery (https://github.com/gocelery/gocelery): Celery port in Go. Not much recent activity so a bit worried it's abandoned.
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Autoscaling Redis applications on Kubernetes 🚀🚀
Please note that this blog post uses a Golang application (thanks to gocelery!) as an example, but the same applies to Python or any other application that uses the Celery protocol.
nsq
- NSQ: Open-source realtime distributed messaging, billions of messages / day
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MQTT vs. Kafka: An IoT Advocate's Perspective
Interesting. What are you thoughts on NSQ?
https://github.com/nsqio/nsq
Was looking at it earlier today, but haven't ever tried it out.
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Any thoughts on using Redis to extend Go's channels across application / machine boundaries?
(G)NATS can do millions of messages per second and is the right tool for the job (either that or NSQ). Redis isn't even the fastest Redis protocol implementation, KeyDB significantly outperforms it.
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FileWave: Why we moved from ZeroMQ to NATS
Bit.ly's NSQ is also an excellent message queue option.
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Infinite loop pattern to poll for a queue in a REST server app
Queue consumers are interesting because there are many solutions for them, from using Redis and persisting the data in a data store - but for fast and scalable the approach I would take is something like SQS (as I advocate AWS even free tier) or NSQ for managing your own distributed producers and consumers.
- NSQ – A realtime distributed messaging platform
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What are pros and cons of Go?
distrubition server engine ( for example websocket server multi ws gateway and worker pool,nsq.io realtime message queue and so on)
- Nsq - A realtime distributed messaging platform
- Is there any conventionally accepted repo that is representative of well designed go code ?
- NSQ: A realtime distributed messaging platform
What are some alternatives?
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
NATS - Golang client for NATS, the cloud native messaging system.
temporal - Temporal service
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
go-micro - A Go microservices framework
Apache Kafka - Mirror of Apache Kafka
celeriac - Golang client library for adding support for interacting and monitoring Celery workers, tasks and events.
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC
etcd - Distributed reliable key-value store for the most critical data of a distributed system