Welcome!

Industrial IoT Authors: Elizabeth White, Stackify Blog, Yeshim Deniz, SmartBear Blog, Liz McMillan

Related Topics: Java IoT, Industrial IoT, Microservices Expo, Microsoft Cloud, Machine Learning , Agile Computing

Java IoT: Blog Feed Post

Building a Simple Peer-to-Peer WebSocket App – Part 1

A Step-by-Step Tutorial

This tutorial series walks you through the simple steps of building an HTML5 WebSocket app, demonstrating the power of the publish/subscribe development pattern directly in JavaScript. Our sample is almost as simple as a Chat app, the “Hello World” app of the WebSocket world, but is a tad more visual and dynamic.

After trying out the completed application, you can either jump in the code and play with it right away, or move on to Part 2 (coming soon) of this tutorial for a step-by-step guide.

About the Environment
This tutorial requires a WebSocket server. We will use http://tutorial.kaazing.com, which hosts the JMS Edition of Kaazing WebSocket Gateway, Kaazing’s high-performance enterprise-grade WebSocket Server. All you’ll need to do is create a WebSocket connection to this server directly from your browser and start “talking” (read: send messages) to it from your browser. On the client side, you can use any modern browser, supported by JSFiddle (learn more about JSFiddle).

Getting Started
First, to understand how the tutorial environment in JSFiddle works, open up the completed demo in JSFiddle. If you’re using a tablet or a smart phone, use the full page mode of the demo.

JSFiddle provides a simple, integrated environment to edit the source of your web pages and apps. It has four panes:

  • Top-left: HTML code (very minimal HTML code in our demo)
  • Bottom-left: JavaScript code
  • Top-right: CSS code (empty in our case)
  • Bottom-right: Result

In the bottom right pane, you can interact with the completed app. Using the slider, you can change the size of the image. Now, open another browser window, pointing to the same JSFiddle demo URL. You can also use a tablet or a smart phone. Position your two browser windows side-by-side. As you adjust the slider in the bottom-right pane, right above the image in one browser window, the slider position and image size change in the other one. They’re kept in sync.

The browsers are communicating with the WebSocket gateway which is running in Amazon’s EC2 cloud, hosted in North Virginia, USA. When you move the slider, messages travel from your browser, to the WebSocket gateway, and back to the other browser.

Watch this video demonstrating the completed application (if the letters are blurry, switching the video to HD helps):

At this point, you can make any changes to the application. Click the Run button to test out your changes. To roll back to the original state, simply reload the original JSFiddle demo URL.

Note: If you see the image resize without you moving the slider, there’s a chance that somebody else is experimenting with the tutorial as well. To ensure that you’re not interfering with anybody else, change the topic name to something unique to you, for example by appending your name. Locate the following line in the bottom-left pane, towards the top of the file:

 

var TOPIC_NAME = "/topic/myTopic";

 

Modify the name of the topic. For example:

 

var TOPIC_NAME = "/topic/PeterTopic";

Test your code by clicking the Run button.

As another test, you can also change the application’s logging behavior. To give it a try, change the value of the IN_DEBUG_MODE variable to false, located in the bottom-left pane towards the top of the file. Original line:

var IN_DEBUG_MODE = true;

After the changes:

var IN_DEBUG_MODE = false;

Test your code by clicking the Run button.

In Part 2 (coming soon) you can learn about the demo code and how quickly and easily you can build real-time web applications with Web messaging.

Read the original blog entry...

More Stories By Kaazing Blog

Kaazing is helping define the future of the event-driven enterprise by accelerating the Web for the Internet of Things.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...