Providing IoT Value from the Edge to the Cloud

Blog - IoT Value from the Edge to the Cloud

Earlier this month, Amazon Web Services announced its new Internet of Things platform, AWS IoT. Unsurprisingly, the platform’s architecture is cloud-centric - built on the premise that ingestion, management and processing of IoT data can be done in their market-dominating cloud offering.

Unlike Amazon’s model, Dell recently announced a different approach that sees more value in the ability to process data closer to its source. Last week at their annual conference in Austin, Texas, the company revealed a new IoT product, the Dell Edge Gateway 5000 series. The gateway, purpose-built for the building and factory automation sectors, allows companies to collect, manage and process sensor and device data at the edge of the network.

For many companies, where data storage and network bandwidth account for significant operational costs, this edge-processing approach can be hugely beneficial. By applying some level of intelligence to the edge of the gateway or device, companies can effectively filter the enormous volume of data generated to only relay business-critical, actionable data items.

“Organizations are struggling to make the best decisions regarding the data volume and complexity created by the vast numbers of sensors, embedded systems and connected devices now on the network,” said Andy Rhodes, executive director, Commercial IoT Solutions, Dell. “As more of the data is processed in real time at the edge of the network, the gateway becomes the spam filter for IoT.”

A recent Wikibon study by David Floyer used a remote wind-farm with security cameras and other sensors as a reference case to observe the differences between a cloud-only architecture and a converged edge-and-cloud approach. By analyzing the 3-year management and processing costs for each, the study revealed that the overall cost of the hybrid approach would be about one-third of the cost of the cloud-only approach. In addition to overall cost, the hybrid edge-and-cloud approach offered a multitude of other advantages relative to data availability, real-time functionality, and the complexity of sensor management and adoption.

At MachineShop, we recognize that an IoT platform must support the highly distributed realities of the connected enterprise. To truly monetize mission-critical solutions, organizations need the ability to access and act upon the right data at the right time in the right place. This is why we’ve uniquely architected our middleware platform as a collection of discrete services, exposed as standard APIs, that can be deployed virtually anywhere including public or private clouds, on-premise, and embedded on the edge of the gateway or device. This services-based approach similarly grants enterprises the flexibility to pick and choose specific services that are valuable to them without the requirement of deploying or licensing a large monolithic platform. To learn more about our platform and flexible deployment model, download the free MachineShop Overview: Where IoT Meets the Enterprise or send us an email at


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