amqp091-go
taskq
| amqp091-go | taskq | |
|---|---|---|
| 2 | 7 | |
| 1,314 | 1,202 | |
| 2.4% | - | |
| 7.1 | 0.0 | |
| 12 days ago | 7 months ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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amqp091-go
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How to plan and execute a large number of tasks in Go?
For rabbitmq I used -> https://github.com/streadway/amqp which is deprecated now for -> https://github.com/rabbitmq/amqp091-go
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Go and ElasticSearch full-text search microservice in k8s👋✨💫
Elasticsearch client for Go RabbitMQ Go RabbitMQ Client Library Jaeger open source, end-to-end distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus Echo web framework Kibana is user interface that lets you visualize your Elasticsearch Docker and docker-compose Kubernetes K8s Helm The package manager for Kubernetes
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?
Mercure - 🪽 An open, easy, fast, reliable and battery-efficient solution for real-time communications
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
Centrifugo - Scalable real-time messaging server in a language-agnostic way. Self-hosted alternative to Pubnub, Pusher, Ably. Set up once and forever.
Benthos - Fancy stream processing made operationally mundane
go-mq - Declare AMQP entities like queues, producers, and consumers in a declarative way. Can be used to work with RabbitMQ.
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
go-jdeque - Chunk based deque for Go
sarama - Sarama is a Go library for Apache Kafka. [Moved to: https://github.com/IBM/sarama]
lmstfy - A task queue with REST API