# Using Go Client Worker Tasks to Scale Iron.IO Jobs

DevFeed: [Using Go Client Worker Tasks to Scale Iron.IO Jobs](<https://devfeed.tech/articles/queue-your-way-to-scalability-22088.md>)

Original publisher: [Read original article](<https://www.ardanlabs.com/blog/2013/12/queue-your-way-to-scalability.html>)

Published: 2013-12-20T00:00:00Z

Content type: tutorial

Language: en

Sources: [William Kennedy](<https://devfeed.tech/sources/william-kennedy.md>)

Topics: [Scalability](<https://devfeed.tech/topics/scalability.md>), [Go Language](<https://devfeed.tech/topics/go-language.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Programming](<https://devfeed.tech/topics/programming.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [ardan-labs](<https://devfeed.tech/tags/ardan-labs.md>), [blog](<https://devfeed.tech/tags/blog.md>), [go](<https://devfeed.tech/tags/go.md>), [go-programming](<https://devfeed.tech/tags/go-programming.md>), [golang](<https://devfeed.tech/tags/golang.md>), [programming](<https://devfeed.tech/tags/programming.md>), [queue](<https://devfeed.tech/tags/queue.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [services](<https://devfeed.tech/tags/services.md>), [web-services](<https://devfeed.tech/tags/web-services.md>)

## AI overview

This tutorial explains how to use Iron.IO worker tasks and its Go Client to queue independent jobs for scalable and redundant processing. It uses a marine forecast application as an example.

## Source excerpt

Introduction The first thing I did when I started programming in Go was begin porting my Windows utilities classes and service frameworks over to Linux. This is what I did when I moved from C++ to C#. Thank goodness, I soon learned about Iron.IO and the services they offered. Then it hit me, if I wanted true scalability, I needed to start building worker tasks that could be queued to run anywhere at any time. It was not about how many machines I needed, it was about how much compute time I needed.