watermill
machinery
watermill | machinery | |
---|---|---|
23 | 14 | |
6,756 | 7,313 | |
1.6% | - | |
7.1 | 5.3 | |
7 days ago | 11 days ago | |
Go | Go | |
MIT License | Mozilla Public License 2.0 |
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.
watermill
-
Microservices communication
I’ve successfully worked on projects using an asynchronous event-driven way of connecting services. I really like the decoupling of business logic and the events triggering it. I highly recommend https://github.com/ThreeDotsLabs/watermill to be more flexible when it comes to choosing the actual technology driving the async patter. It might be NATS today but requirements might change and you need to change. Watermill prepares you for this.
-
Public chatroom websocket project in Go
Highly recommend https://watermill.io lib for building async apps (using among others pub/sub patterns). It greatly decouples your code from the underlying technology and gives you the freedom to choose depending on the environment (e.g dev, prod). For dev or small scale purposes, it supports pub/sub purely based on go channels.
-
How did you solve the problem of transactions between different databases and services?
Look at this library: https://github.com/ThreeDotsLabs/watermill
-
Examples of using task scheduler with Go?
Watermill is a good pubsub abstraction. You can start with native go channels and grow into a cloud pubsub or Kafka/Pulsar if you need to.
-
Small EDA/Micro service Project
These conditions have led me to discover two packages watermill.io and go-kit. Both of these seem to do what I want and I am thinking of implementing the project using watermill and go Chanels and deploying to a server or some sort.
-
Event Observer Pattern in Go
github.com/ThreeDotsLabs/watermill package provides a framework for building event-driven applications. It allows easy communication between independent components by decoupling the sender and the receiver.
-
I've just started learning Golang, and I'm struggling to choose a framework.
My personal favorite tools: - https://github.com/go-kit/ for building services (although it's not necessary a great tool for prototyping) - https://github.com/gorilla/mux router (although it's been recently deprecated, so I'm looking for a similar, maintained library) - https://entgo.io/ ORM - https://watermill.io/ for messaging
- How to handle events: an interactive example of consumer groups
- I’m looking for a suggestion for a queuing library
-
Looking for a mature distributed task queuer/scheduler in go
Checkout https://watermill.io/
machinery
- Looking for library recommendations: Django -> Golang port
-
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?
-
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
-
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
-
Using a High-Level RabbitMQ Client in Go
I use this one: https://github.com/RichardKnop/machinery
-
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?
-
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.
What are some alternatives?
eventhorizon - Event Sourcing for Go!
Asynq - Simple, reliable, and efficient distributed task queue in Go
go-kit - A standard library for microservices.
gocelery - Celery Distributed Task Queue in Go
Benthos - Fancy stream processing made operationally mundane
celery - Distributed Task Queue (development branch)
pulse - ☁EventBus on Portable Pub/Sub Components☄
go-nsq - The official Go package for NSQ
wild-workouts-go-ddd-example - Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
temporal - Temporal service
go-rabbitmq - A wrapper of streadway/amqp that provides reconnection logic and sane defaults
Confluent Kafka Golang Client - Confluent's Apache Kafka Golang client