We are all familiar with edge and cloud services. But how well do we know these two? Are you aware of what makes them different or even similar? We took the time to help you differentiate and choose the right option!

Edge computing and cloud infrastructure are far apart and cannot act as substitutes for each other. However, they can merge on certain fronts and use clients like you together!

Cloud vs. edge

The basic difference is the time sensitivity to data processing. Edge computing is handy when real-time estimation is an hourly need. With cloud technology, you can be more calm about how fast data should or should be processed. Cloud and Edge computing are very different techniques. The next point of difference would be the connection. On the other hand, the perimeter easily covers remote locations. On the other hand, for centralized storage, the cloud is a more reliable choice.

Using both to your advantage

Which is more appropriate, you say? It depends on your requirements. Questions arise to choose the right tool. Is your information processed locally or do you want to expand your coverage to multiple sites geographically? You need to be aware of your accounting goals before choosing the means to do so.

Edge Computing itself

Edge computing can be used purely to compute and process device data on the perimeter itself. However, relying on edge computing means that you must continue to add local data sources as the amount of data generated increases.

Connect the edge to the cloud

Using edge computing as an extension of the cloud environment can open up multiple opportunities for your business while reaping the benefits of both. In this case, the edge acts as an ancillary system for pre-processing the cloud data. Edge analytics performs real-time analysis of peripheral data while the data is stored centrally in the cloud.

In addition, the cloud has access to developments such as artificial intelligence and its subset, machine learning, and in-depth learning. Models shaped with such a technique can be passed to peripheral devices. When your peripherals have access to such opportunities, you can attest to improved performance and a better user experience. This is because artificial intelligence models are used to respond to interactions and information generated from on-site devices.

In addition, using both technologies will keep your business prepared for both the short and long term. The cloud services infrastructure can perform in-depth trend analysis except for long-term immediate data processing in the long run. Comprehensive analysis provides more significant insights into your business. Let’s not forget the flexibility and agility of the cloud. Therefore, using both will keep you close to your sources of information, but will also allow your business to spread far.

Know more about the edge and the cloud

Are you interested in one of the two technologies? VEXXHOST’s team of experts can help you get the most out of it edge counting together with the OpenStack cloud. The edge of the cloud paradigm can be difficult to interpret, so we want to help you do that. Stay tuned for more on OpenStack and edge counting.


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