Why Facebook is using MQTT on mobile
Christian Karasiewicz 270005XS4E Visits (32003)
We can all relate to the concept of protocols, sensors and meters that are used to measure and analyze data. But what does Facebook have to do with that? If you are curious, keep reading this blog post to learn more how Facebook took a huge advantage by using Message Queue Telemetry Transport (MQTT).
A little history on MQTT
Back in time when Roy Fielding came out with his dissertation introducing the Representational State Transfer (REST) concept, people paid attention mainly because (a) it showed a different and simpler way of having websites, databases and other systems interact and (b) it came from one of the HTTP specification authors.
In 1999, Andy Stanford-Clark of IBM collaborated with Arlen Nipper of Eurotech to create a specification for a new messaging protocol, MQTT. Being dissatisfied with the current technologies, both were working on projects to help get remote data onto disparate devices. They were seeking to leverage communications among devices using reduced network bandwidth and providing assured message delivery in a very constrained environment with (a) high latency, (b) devices that were limited in capacity and power and (c) expensive and even unreliable networks. Think of it as a messaging protocol to be used for sensors, meters, actuators and so on. MQTT is all about machine to machine, or M2M, since it is a specification to cover device communications.
That said, both Roy Fielding and Andy and Arlen were searching for something simpler than what was out there. And don’t get me wrong—I am not comparing REST and MQTT as specifications or by their applicability; I just mean to highlight ideas that made communications simpler.
MQTT and the Internet of Things
MQTT, specifically, was a great fit for the new buzzword Internet of Things, which brings all sorts of devices onto the same network. For example let’s think of the hundreds of sensors inside a car, or as part of oil and gas plant, or even temperature meters, satellites and so on—all of them collecting and pushing data outside. Using MQTT, these devices (or sensors, if you prefer) can now be smart enough to share their data in the network, making it possible to have smart systems taking actions based on the data shared by these constrained devices.
An amazing new MQTT use case came out in 2012, when the Facebook software engineer Lucy Zhang announced through the Facebook blog some details of the new Facebook Messenger app that was available for smartphones, including both Android and iOS devices.
Using MQTT, Facebook brought to the game a fast and reliable messenger application—small and lightweight, a battery and cost saver—that would function well even with the varying Internet connections available across the world.
MQTT is increasingly being used in many industries, and IBM is a big player in this field, as it uses MQTT internally in several products, like IBM Integration Bus and IBM MessageSight. If you want to learn more about MQTT or IBM products please visit MQTT.org, IBM MessageSight and IBM Integration Bus.
Hopefully you are curious to see MQTT and Facebook Messenger in action. You can download the app here for your target platform.
What are your thoughts on Facebook’s adoption of MQTT for its Messenger app? What other apps out there could take advantage of MQTT? Please leave a comment below or connect with me on Twitter.
Giuliano Diniz de Morais is an Advisory Software Engineer at IBM Brazil Software Labs. He is currently part of the Worldwide Technical Professionals team for WebSphere working with Business Partner enablement across Latin America. Follow Giuliano on Twitter at @giulianodm.