Machinery: The Open-Source Asynchronous Task Queue/Job Queue Based on Distributed Message Passing

The term "machinery" often symbolizes complex systems capable of performing tasks independently. In the realm of software, the term still holds true, particularly for 'Machinery' - an open-source asynchronous task queue and job queue. This project is based on a concept called 'distributed message passing,' and it's hosted on GitHub under the link 'https://github.com/RichardKnop/machinery'.

Project Overview:

Machinery’s mission is to ease the process of task execution and job queuing, especially in distributed systems where message passing holds critical importance. The project aims to provide an all-in-one package for job queuing, letting developers focus on logic rather than infrastructure.

The project targets developers working in distributed systems or those seeking to build applications that require proper job management. It also serves as a learning tool for those interested in distributed systems and message passing.

Project Features:

Machinery supports multiple brokers (Redis, AMQP, Amazon SQS, and more) and backends (Memcache, Redis, AMQP) making it adaptable to various tech stacks. It handles tasks concurrently, meaning multiple tasks can be processed simultaneously.

One of its major features is the capability to handle different kinds of tasks. Be it single tasks that produce a single result or tasks that are grouped and can be executed in parallel, Machinery handles them all. Moreover, it supports workflows where multiple tasks can be linked together, and the result of one task can act as the input for another.

Technology Stack:

The project is built with Go language, which was chosen for its simplicity, efficiency, and prowess for concurrent programming. Machinery uses this functionality to handle multiple tasks simultaneously. The project also makes use of various libraries, such as Redis for broker and backend, AMQP for Advanced Message Queuing Protocol, and Amazon SQS for Simple Queue Service.

Project Structure and Architecture:

Machinery works in three essential steps: it 'registers' tasks, 'sends' tasks to a broker, and 'consumes' tasks from the broker. Upon 'registration', defined tasks are given a unique name to distinguish one from another. 'Sending' refers to producing tasks and publishing these to a specified exchange on a broker. 'Consuming' tasks means receiving and executing tasks sent by a producer.

Contribution Guidelines: