IoT at the Edge
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Improving the Reliability of IoT Systems and Data


IoT Woman with Tablet.jpg

It’s clear that the proliferation of Internet connectivity is enhancing the way machines, devices, people, systems, and the environment communicate across a network. We approximate that the Internet of Things (IoT) is currently comprised of 6.4 million devices and things, and IT departments are striving to harness the power of its generated data in order to gain critical business, engineering, or scientific insights. Gartner estimates that an additional 20 billion IoT endpoints will be in service by 2020, generating petabytes of data every day. Thus, more and more things that were once novelty to have are now becoming “mission critical” in our lives. That’s a lot of vulnerability waiting to happen.

As businesses operate conventionally and on legacy systems, great challenges arise in servicing the speed and dependability necessary to manage high-velocity and high-volume data. System and data reliability and security are key as information travelling back and forth across a network, from thing to thing, is now more likely to become lost, compromised, or corrupted.

IT and Operational Technology (OT) departments are looking to mitigate these risks. By investing aggressively in proven enterprise-class computing and systems management technologies, enterprises can improve the reliability and availability of edge-generated data and systems. These advancements ensure that data which once needed to be transmitted to and from the cloud/data center for analysis can now stay at the edge, right where it’s captured. This avoids cloud lock-in and significantly reduces data transmission issues surrounding corruption, compliance, and connectivity, and thereby dramatically improves reliability.

The drive to compute at the edge and converge many operations into a single edge system, affording reliable and immediate insight, is causing intelligent processing and data analysis to migrate to the left, closer to where the “things” are. The ability to quickly capture, process, and analyze massive volumes of information at the edge will uncover more dependable insights, too, and better enable real-time control and decision-making.

To this end, Hewlett Packard Enterprise (HPE) has created a new product category called Converged Edge Systems. The HPE Edgeline EL1000 and EL4000 systems are the very first entrants into this new category, and are designed to support heavy-duty data analytics and insights, reduce the likelihood of device failure, and speed time-to-value.

Benefits of the HPE Edgeline Converged Edge Systems include:

  • Convergence: Convergence integrates high-end computing, storage, and systems management with data capture and control, all in one box.
  • More simplicity: A converged system requires fewer cables (a common point of failure) and fewer components to buy and deploy.
  • Greater reliability: Fewer components means fewer opportunities for device failure, which boosts the reliability of the overall system.
  • More choice with open industry standards: Edgeline Converged Edge systems are built on open technologies such as Intel x86 architecture, PCIe I/O, and PXI data capture and control standards.

The deluge of IoT data, devices, and systems is challenging organizations across all industries to invest in both shifting high-end computing to the edge and deploying converged integrated solutions – all with the capacity to rapidly convert insight into revenue in a more reliable way. The HPE Edgeline Systems leverage the power of convergence to eliminate the complexity of purchasing and deploying multiple systems, consume less energy, accelerate time-to-value, and increase data reliability at the edge.

Please join us to “compute at the edge - accelerate insight” and “converge at the edge - improve reliability”. I also invite you to connect with me on Twitter at @TomBradicichPhD.

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About the Author


Dr. Tom Bradicich is Global Head of Edge and IoT CoE & Labs,s at Hewlett Packard Enterprise. He and his HPE Labs team develop and commercialize advanced connectivity, compute, and controls software and technologies. Tom directs the HPE Edge and IoT Center of Excellence, which lead company-wide strategies, venture and M&A business and technical assessments, and the Channel-to-Edge Institute channel partner program.

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