redis-celery-kubernetes-keda
gocelery
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| redis-celery-kubernetes-keda | gocelery | |
|---|---|---|
| 1 | 6 | |
| 7 | 2,316 | |
| - | 0.8% | |
| 3.2 | 0.0 | |
| about 3 years ago | 8 months ago | |
| Go | Go | |
| - | 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.
redis-celery-kubernetes-keda
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Autoscaling Redis applications on Kubernetes 🚀🚀
git clone https://github.com/abhirockzz/redis-celery-kubernetes-keda cd redis-celery-kubernetes-keda
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.
What are some alternatives?
Resque - Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
charts - ⚠️(OBSOLETE) Curated applications for Kubernetes
temporal - Temporal service
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
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.
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
go-micro - A Go microservices framework
kubernetes - Production-Grade Container Scheduling and Management
celeriac - Golang client library for adding support for interacting and monitoring Celery workers, tasks and events.
kedahttp - kedahttp implements a prototype of auto-scaling containers using Kubernetes and KEDA
grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC