docker-compose
gocelery
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docker-compose | gocelery | |
---|---|---|
3 | 6 | |
253 | 2,316 | |
7.5% | 0.8% | |
7.3 | 0.0 | |
3 days ago | 8 months ago | |
Shell | 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.
docker-compose
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Temporal
I'm very intrigued and excited to give it a try (literally just ran docker compose up repo and its taking a while to build, probably because I have terrible internet here in the boonies). Curious if anyone here has used it yet, and if so, what you thought about it.
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Measuring Developer Relations
Examples: Netlify has an entire Integrations Engineering team. Currently it just works on Next.js integrations, but it could also own, for example, the VS Code extension. In the past I helped build out Netlify Dev and react-netlify-identity as part of this function. Popular quick start tooling like Docker Compose and Helm Charts also fall under this function.
- For those running Go in production at scale, what do you use for distributed task queues?
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?
helm-charts - Temporal Helm charts
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
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.
temporal - Temporal service
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
gq - gq is a lightweight scalable message queue backed by the most popular SQL DBs. Add message queue semantics to your application without integrating extra infrastructure.
celeriac - Golang client library for adding support for interacting and monitoring Celery workers, tasks and events.
orbit-model - A framework for building high gravity communities 🪐
grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC