machinery
nsq
machinery | nsq | |
---|---|---|
14 | 14 | |
7,313 | 24,589 | |
- | 0.4% | |
5.3 | 6.1 | |
11 days ago | 5 days ago | |
Go | Go | |
Mozilla Public License 2.0 | 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.
machinery
- Looking for library recommendations: Django -> Golang port
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Are there any actively maintained or official Golang libraries for managing work queues?
I've had this project starred for a while but haven't used it: https://github.com/RichardKnop/machinery
- Looking for a mature distributed task queuer/scheduler in go
- What would be a good message broker internal to my program?
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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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is there any go library that allows running background tasks after a specified period of time?
you mean a scheduler? try RichardKnop/machinery or hibiken/asynq
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Using a High-Level RabbitMQ Client in Go
I use this one: https://github.com/RichardKnop/machinery
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Do you know of a robust library that handles persistent job scheduling and queuing using PostgreSQL
I’ve also used https://github.com/RichardKnop/machinery for for a few projects and it’s solid.
- Distributed asynchronous tasks?
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Any one knows a job worker project (like Celery) + distributed cron written in Go
Machinery is an asynchronous task queue/job queue based on distributed message passing.
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?
Asynq - Simple, reliable, and efficient distributed task queue in Go
NATS - Golang client for NATS, the cloud native messaging system.
gocelery - Celery Distributed Task Queue in Go
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
celery - Distributed Task Queue (development branch)
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
go-nsq - The official Go package for NSQ
Apache Kafka - Mirror of Apache Kafka
temporal - Temporal service
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
Confluent Kafka Golang Client - Confluent's Apache Kafka Golang client
etcd - Distributed reliable key-value store for the most critical data of a distributed system