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Reactive and Asynchronous IoT With Vert.x

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Reactive and Asynchronous IoT With Vert.x

The Vert.x platform has a variety of modules that are perfect for the Internet of Things. This overview covers messaging, bridges, and Kafka connection.

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I have to admit… before joining Red Hat I didn’t know about the Eclipse Vert.x project, but it took me few days to fall in love with it!

For the other developers who don’t know what Vert.x is, the best definition is …

… a toolkit to build distributed and reactive systems on top of the JVM using an asynchronous non blocking development model

The first big thing is related to develop a reactive system using Vert.x, which means:

  • Responsive: the system responds in an acceptable time;
  • Elastic: the system can scale up and scale down;
  • Resilient: the system is designed to handle failures gracefully;
  • Asynchronous: the interaction with the system is achieved using asynchronous messages;

The other big thing is related to use an asynchronous non-blocking development model, which doesn’t mean to be multi-threading, but thanks to the non-blocking I/O (i.e. for handling network, file system, …) and callbacks system, it’s possible to handle a huge number of events per second using a single thread (AKA an “event loop”).

You can find a lot of material on the official website in order to better understand what Vert.x is and all its main features; it’s not my objective to explain it in this very short article that is mostly … you guess… messaging and IoT-oriented uses.

In my opinion, all the above features make Vert.x a great toolkit for building Internet of Things applications where being reactive and asynchronous is a “must” in order to handle millions of connections from devices and all the messages ingested from them.

As a toolkit, made of different components, what are the tools provided by Vert.x that are useful to IoT?

Starting from the Vert.x Core component, there is support for versions 1.1 and 2.0 of HTTP — in order to develop an HTTP server that can expose a RESTful API to the devices. Today, a lot of web and mobile developers prefer to use this protocol for building their IoT solutions, leveraging the deep knowledge they have about the HTTP protocol.

Regarding more IoT-oriented protocols, there is the Vert.x MQTT server component, which doesn’t provide a full broker but exposes an API that a developer can use to handle incoming connections and messages from remote MQTT clients and then build the business logic on top of it — for example, developing a real broker or executing protocol translation (i.e. to/from plain TCP, to/from the Vert.x Event Bus, to/from HTTP, to/from AMQP, and so on). The API raises all events related to the connection request from a remote MQTT client and all subsequent incoming messages; at the same time, the API provides the way to reply to the remote endpoint. The developer doesn’t need to know how MQTT works on the wire in terms of encoding/decoding messages.

Related to the AMQP 1.0 protocol, there are the Vert.x Proton and the AMQP bridge components. The first one provides a thin wrapper around the Apache Qpid Proton engine and can be used for interacting with AMQP-based messaging systems as clients (sender and receiver) but even developing a server. The last one provides a bridge between the protocol and the Vert.x Event Bus mostly used for communication between deployed Vert.x verticles. Thanks to this bridge, verticles can interact with AMQP components in a simple way.

Last but not least, the Vert.x Kafka client component provides access to Apache Kafka for sending and consuming messages from topics and related partitions. A lot of IoT scenarios leverage Apache Kafka in order to have an ingestion system capable of handling a million messages per second.

Conclusion

The current Vert.x code base provides quite interesting components for developing IoT solutions, which are already available in the current 3.3.3 version (see Vert.x Proton and AMQP bridge) and that will be available soon in the future 3.3.4 version (see MQTT server and Kafka client). Of course, you don’t need to wait for their official release because, even if under development, you can already adopt these components and provide your feedback to the community.

This ecosystem will grow in the future, and Vert.x will be a leading actor in the IoT applications world based on a microservices architecture!

Cisco is a software company. Surprised? Don’t be. Join DevNet to explore APIs, tools, and techniques that developers are using to add collaboration, IoT, security, network priority, and more!

Topics:
mqtt ,vert.x ,iot ,apache kafka

Published at DZone with permission of Paolo Patierno, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

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