gocelery
gq
| gocelery | gq | |
|---|---|---|
| 6 | 6 | |
| 2,322 | 26 | |
| 0.5% | - | |
| 0.0 | 0.0 | |
| 8 months ago | about 3 years ago | |
| Go | Go | |
| MIT License | GNU General Public License v3.0 only |
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.
gq
- Python/Django to Golang questions
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For those running Go in production at scale, what do you use for distributed task queues?
If you want something simple https://github.com/mattbonnell/gq
- gq: add a scalable multi-consumer, multi-producer message queue to your SQL-backed service without any additional infrastructure
- gq: add a scalable multi-consumer, multi producer message queue to your SQL-backed service without any extra infrastructure
- gq: add a scalable multi-consumer, multi-producer message queue to your SQL-backed application without any extra infrastructure
- gq: add a scalable message queue to your SQL-backed application without any extra infrastructure
What are some alternatives?
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
temporal - Temporal service
docker-compose - Temporal docker-compose files
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.
go-micro - A Go microservices framework
cadence - Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
celeriac - Golang client library for adding support for interacting and monitoring Celery workers, tasks and events.
nsq - A realtime distributed messaging platform
grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents