gocelery
taskq
| gocelery | taskq | |
|---|---|---|
| 6 | 7 | |
| 2,322 | 1,202 | |
| 0.5% | - | |
| 0.0 | 0.0 | |
| 8 months ago | 7 months ago | |
| Go | Go | |
| MIT License | BSD 2-clause "Simplified" 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.
taskq
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What is the best task queue?
Hi, I'm starting a new project that involves distributing task on different (and possibly distributed) workers in Golang. So I'm looking for the best task queue library to use; for now the ones I like are the following (in no particular order): - asynq - machinery - taskq
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Are there any actively maintained or official Golang libraries for managing work queues?
+ taskq
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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
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How to plan and execute a large number of tasks in Go?
Oh my god, I have to deal with a similar system at work and I wish we hadn't tried to handroll this. If its possible you should look into something off-the-shelf. Could Celery work for 1000*10000 tasks? But if you must do it yourself, https://github.com/vmihailenco/taskq looks good
- Redis messaging queue suggestions
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Kafka Message Task Queue
I was looking at https://github.com/vmihailenco/taskq to use potentially to manage tasks being picked up by a set of workers. Since we already have a Kakfa expertise I was looking to potentially use that instead.
- Switching from Celery and Python to Go
What are some alternatives?
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
temporal - Temporal service
Benthos - Fancy stream processing made operationally mundane
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.
Asynq - Simple, reliable, and efficient distributed task queue in Go
go-micro - A Go microservices framework
go-jdeque - Chunk based deque for Go
celeriac - Golang client library for adding support for interacting and monitoring Celery workers, tasks and events.
lmstfy - A task queue with REST API
grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC
rmq - Message queue system written in Go and backed by Redis