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Machinery project preview
Developer ToolsAlternative to AWS SQSAlternative to CeleryAlternative to RabbitMQ

Machinery

Asynchronous task queue/job queue based on distributed message passing in Go.

View on GitHub
LicenseMIT
GitHub stars7.2k
Last commit1 weeks ago
Tags5 topics
Rabbitmq Redis SqsCelery GoDistributed JobsGolang Task QueueDeveloper Tools
Overview

Why consider Machinery?

Machinery is an asynchronous task queue and job scheduler written in Go. Inspired by Celery, it supports multiple message brokers (RabbitMQ, Redis, AWS SQS) and results backends (DynamoDB, Memcached, MongoDB), executing chained task chords and workflows.

Guided learning

Learn Machinery by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Machinery

Machinery chains asynchronous Golang task workflows with automated error handling and parallel group execution.

Installation

bash
1go get github.com/RichardKnop/machinery/v2

Machinery is licensed under the permissive MIT License.

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Machinery FAQs

Machinery is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Machinery is listed under the MIT license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Machinery is listed as an alternative to AWS SQS. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.