Edge computing is fast becoming a buzzword, but enterprises often lack a good architectural and disciplined approach
In every way defined, Edge is the space between the cloud and whatever device or system is tossing off data.
Edge computing naturally is about doing most of the processing at the edge, close to where the data is produced. This approach provides a much better response time, essentially because it does not necessitate sending data back to a central cloud-based data-storage system to be processed and then returned all the way back to the device. Its utility has made it a big buzzword on the world of enterprise. While there are many advantages associated with it, edge computing is certainly not a substitute for a good architectural approach or old-fashioned pragmatism. As a result, there are mistakes being made, and these can be easily avoided. Here is how:
Too Much Happening At The Edge
Most edge platforms are small, SSD-based embedded platforms. So to keep them clutter free and able to perform at optimal, it is important that they stay small, cheap, and easy to replicate. Too much processing on those edge devices creates latency and speed issues. To solve these, many companies use edge computing in a new form and, in most cases, make things worse. Hence, it is advisable for the edge device to be purpose-built. It needs to only meet the basic needed to collect, process, and transmit data, and maybe respond to some immediate issues. It is not advisable to use Edge for deploying predictive analytics, working to determine potential emerging problems with the engine, because this analysis would require sifting through petabytes of data.
Another smart move is to design all edge computers to be functionally the same because that’s when automated tasks can be easily replicated. Customisation will create complexities here.
Ensuring security at the edge
Most often, enterprises deploy Security for edge computing as an afterthought, even though the risks may be far worse than those in the cloud. Even though it should be the priority list, addressing potential security threats is not first on the to-do list for most edge architects. In order to address the security issues, most of the cloud services need to replicated at the Edge. Most public cloud providers are aware of this need so their edge platform offerings now extend security and ops services as well. The idea is to automate as much as possible, so issues like updates for known new threat vectors and OS upgrades are automatically taken care of.
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