Process engine golang

With the continuous development of Internet applications, various business processes are becoming more and more complex, making the efficiency and accuracy of processing business processes become crucial. This has prompted the emergence of various business process engines, which make complex business processes simple and efficient through automated processes, automated tasks, and automated decision-making.

The process engine plays a very important role in realizing automated processes. In this regard, golang, a very popular language for web applications, also has some excellent process engine frameworks. Let's discuss the process engine in golang.

1. The role of process engine

First of all, we need to understand the role of process engine. The business process engine can automate complex business processes, perform various tasks in the process, and automatically determine and proceed to the next step based on specified conditions. For example, in the process of placing an order on a shopping website, you need to go through a series of steps: placing an order: verifying the order: reducing inventory: generating an order: notifying the product supplier: notifying the customer: outgoing goods from the warehouse: transportation. Every detail and result of these steps requires logical judgment and dynamic decision-making.

Through the business process engine, we can make the order process simple and fast. The engine will automatically automate each step, determine inventory levels and other conditions, and automatically proceed to the next step. Of course, whether the shopping process is successful after a series of operations still requires specific application logic to judge.

2. Golang’s process engine framework

As a very popular programming language, golang naturally does not lack a process engine framework. Let’s take a look at several golang process engine frameworks.

1. GoFlow

GoFlow is a lightweight process engine from Intel. Developers can use GoFlow to automate the task of executing various steps in a process and perform various tasks and events within the application. In addition, GoFlow also supports concurrent processes and distributed processes, and provides a pipeline mechanism suitable for multi-GO processes. GoFlow uses prefix expressions to represent business processes and can easily handle concurrent processes.

2. Uber Cadence

Uber Cadence is a distributed business process engine based on golang. It is ideal for building long-running tasks, asynchronous tasks, and business processes that deal with failures. Plus, it's also very easy to extend and customize.

Uber recently released Cadence (called “Cadence” within the company). And open sourced in 2017. It is distributed, horizontally scalable, highly scalable, and has the ability to generate workflows on demand.

3. Argo

Argo is a cloud-native workflow engine that uses Kubernetes as the execution environment for workflows. Argo helps you orchestrate, execute and maintain complex containerized workloads without writing code or fixed configuration. When you need to automate multiple tasks in Kubernetes, Argo can ensure they are executed in the correct order.

In general, both GoFlow and Uber Cadence provide very powerful business process engine functions. And we also have a more detailed understanding of the characteristics, advantages, disadvantages, and applicable scenarios of each process engine. Among them, Argo is a new choice. You can choose the appropriate engine according to the actual situation to achieve high efficiency, simple and efficient process management.

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