amqp091-go
gocelery
| amqp091-go | gocelery | |
|---|---|---|
| 2 | 6 | |
| 1,314 | 2,322 | |
| 2.4% | 0.5% | |
| 7.1 | 0.0 | |
| 12 days ago | 8 months ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | 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.
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
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?
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.
temporal - Temporal service
go-mq - Declare AMQP entities like queues, producers, and consumers in a declarative way. Can be used to work with RabbitMQ.
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.
NATS - Golang client for NATS, the cloud native messaging system.
go-micro - A Go microservices framework
celeriac - Golang client library for adding support for interacting and monitoring Celery workers, tasks and events.
sarama - Sarama is a Go library for Apache Kafka. [Moved to: https://github.com/IBM/sarama]
grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC