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The Ultimate Guide to IoT Edge

In recent years, the IoT industry has seen many advancements. Some of the most notable are in Systems-on-a-Chip (SoCs). The shifts in this space have created a series of commercial devices that can do everything from run algorithms to provide comprehensive operating systems.

This is an exciting shift, and it represents a new wave in the world of IoT. While the IoT of yesteryear relied on the process of collecting information from various sources and analyzing it, this has changed in recent years.

Today, many people are referring to this change as Edge Computing. It is named such because a great deal of the work takes place at the "Edge" of a network. It's more than that, though: it's a streamlined integration between the Cloud and IoT, and it represents the marriage between the computation world and the physical world.

Here's what you need to know about IoT Edge, and how it can impact your business.

What is IoT Edge?

  • Moves cloud analytics and custom business information to devices, so an organization can manage data more efficiently. The process allows increased focus on things like business insights and scalability.
  • Configures IoT software. From here, deploy it to devices via known containers - manage and monitor it all from the cloud.
  • Available in both free and standard tiers. Free tier is designed for testing and evolution, while the standard tier is more advanced.
Who Should Use IoT Edge?

  • Companies that want business value through IoT solutions
  • Companies who know that not all of their analytics need to be in the cloud
  • Companies that want their devices to respond to emergencies quickly and easily and who value anomaly detection on their devices
  • Companies that want to reduce bandwidth costs and avoid sending raw data out to places where it may be vulnerable - this solution offers data cleaning and aggregation
  • Companies who want the ability to send insights to the Cloud
  • Companies that want to offer better customer service (bad customer service currently costs organizations an estimated $338.5 billion annually, around the globe)
  • Companies that want to batch stream data analytics or promote big data analytics frameworks within their companies
Case Studies

Chevron is using Microsoft's Azure IoT platform to handle all the data created by its fiber cables. Azure IoT offers more regions worldwide and will work with Chevron to tailor services and ensure the energy company is meeting client needs.

Chevron loves this solution because it can use all the services without having to manage infrastructure.

According to https://www.datacenterknowledge.com/microsoft/how-microsoft-extending-its-cloud-chevron-s-oil-fields , Chevron CIO Bill Braun has said: “One of the key benefits of Azure cloud is that we can use very powerful technologies without having to support the hardware and software infrastructure...Now we can focus on the business use of the technology and leverage Azure IoT Hub."

Components of IoT Edge

According to https://docs.microsoft.com/en-us/azure/iot-edge/about-iot-edge :

  • "IoT Edge modules are containers that run Azure services, 3rd party services, or your own code. They are deployed to IoT Edge devices and execute locally on those devices.
  • The IoT Edge runtime runs on each IoT Edge device and manages the modules deployed to each device.
  • A cloud-based interface enables you to remotely monitor and manage IoT Edge devices."
Why Use IoT Edge?

1. IoT Edge Helps You Maintain Your Privacy

When you catch data on an IoT device, it often contains private information. Because of this, it's essential to preserve the integrity of the data and ensure that, as applications use it, the sensitive information is kept secure.

IoT edge uses applications that ensure sensitive data is processed on-site, and that only privacy-compliant data is sent out to the Cloud to be analyzed further after it's passed through the first layer of aggregation designed to anonymize it further.

2. Reduced Latency

Cloud computing is a flexible and powerful industry, and it's created many possibilities that were unheard-of just a few years ago. Today, image and voice recognition are more accurate than ever before, and recall times are faster than ever.

Still, network delays make their impacts, and latency is a real issue. Fortunately, Edge IoT allows for low-latency results and machine-learning algorithms designed to run directly through IoT devices.

3. Decreased Connectivity Issues

IoT Edge is a great option for anyone who wants to respond in a more robust fashion to connectivity issues. By reducing latency and helping keep application stable, even in the event of limited/intermittent connectivity, Edge IoT allows companies to deploy applications even on remote networks, where coverage is sub-par. It's also a great way to reduce costs associated with expensive technologies.

Conclusion

We know you may be stressing over the best software engineering Bootcamp. Putting your future and hard earned money in the hands of strangers can weaken the knees of the best of us!

Imagine you knew exactly what a ton of graduates of Hack Reactor said about their experience, and how that compared with other software engineering bootcamps? Imagine you found a source that summarized all of that feedback for you to make your decision easier?

We're here to do that for you, and we're recommending Edge IoT.

According to IBM: "We believe that Edge Computing is key in exploiting the full potentials of IoT. With our work so far, we have only scratched the surface of its many possibilities; our far-reaching goal is to make it easy for everyone to build Edge Computing applications and further enable analytics and cognitive computing on the Edge."

Today, Edge IoT has the potential to offer far-reaching benefits for companies who use it. Intelligent, streamlined, functional, and designed for the modern world of technology, it's an excellent option for companies looking for an application that will enable analytics and cognitive computing.

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