Creating an Edge Computing Business Plan

Mar 23 2020

Scott Shadley

Edge computing has taken the technology industry by storm and with the advent of 5G, smart/autonomous cars, and content delivery networks (CDN), the edge computing sector will continue to grow. Suffice to say, the edge is no longer about the future – it is here with us today, and while the scope is broadening, the datacenters at the edge become more valuable, allowing data to be intelligently managed and processed in remote locations.

The question Gartner asks in a recent report is – “How does edge computing change the way businesses manage their IT strategies?” The fact is, edge computing offers different IT scenarios – especially as many edge devices are out in the open and in remote locations – and therefore device upkeep and security demand a different type of strategy.

 

Creating an Edge Business Plan – What to Consider

Gartner notes that edge computing creates a “sprawling data footprint across a distributed architecture that needs to be governed, integrated, and processed.”

Because of this, the advice is to create a living strategic plan, approach, and framework for edge computing that balances a variety of requirements within manageable guidelines. In truth, edge computing is not about spending more resources, but rather about a redeployment of existing resources in an effective and efficient manner.

 

Edge and Computational Storage – The Future Deserves Future Technology Today

When it comes to edge computing, a future is now view that transcends legacy and sluggish storage technology is necessary – like Computational Storage.

Computational Storage is optimized for edge computing – it not only speeds up data processing at the source, but it also allows for a small portion of data to be utilized intelligently, without taking hours or weeks to process. In the case of an autonomous vehicle (AV) collecting around 5GB/second (which can equal terabytes per week and petabytes of data per year), Computational Storage is the most effective way to extract useful data from that vast data store.

While organizations may understand how to manage end-user devices such as laptops and tablets – adding edge equipment creates new challenges and opportunities for any IT team. For instance, edge computing often means the upkeep of equipment that is out in the open, on a light pole for 5G, or in less well maintained datacenter like environments. Weather sensors or traffic signals trying to capture petabytes of data on climate and traffic patterns means enterprises must now determine how to keep the edge equipment working around the clock and creating the best use of the networking that joins those platforms.

In some of these edge locations there will be extreme conditions that are tough on the edge devices. In cases like this, IT staff may not be able to physically check on the equipment for longer periods of time. In order to understand the condition of the equipment, the device must have the capability to monitor its condition, and baseline edge device behaviors to identify if a device is compromised or malfunctioning, a task that can be offloaded to solutions like Computational Storage. In addition, Gartner recommends that edge computing hardware, software, applications, data and networking have security and self-protection built in. With all the data being generated by these precautionary measures, Computational Storage is necessary to extract pertinent information while holding raw data local to avoid security risks.

Computational Storage provides an innovative solution to today’s storage architecture, in which compute moves closer to where data is generated, rather than the data being moved up to compute, remote or local. It is ideal for any organization deploying edge computing as its new model; it makes it possible to process data right where it’s created and needed, speeding up the time to analyze petabytes of data.

To read the full report by Gartner on how to implement edge devices into your business model, contact us here.

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