How To Escape Data Gravity in a Hybrid Cloud Architecture

How To Escape Data Gravity in a Hybrid Cloud Architecture

Data gravity is an interesting analogy because it is easier to move to compute around (applications and/or services) rather than moving petabytes between data centers. Let alone if it requires a data migration from one format to another.

In accordance with the physical laws of gravity, objects with larger mass attract those with less. In this analogy, bigger data sets will pull closer applications, services, and smaller data sets due to latency and throughput.

Why is this concept important?

Data gravity is an interesting analogy because it is easier to move to compute around (applications and/or services) rather than moving petabytes between data centers. Let alone if it requires a data migration from one format to another. When planning the data center strategy, this needs to be considered.

As business data continues to become an ever-increasing commodity, it is essential that data gravity be taken into consideration when designing solutions that will use that data. One must consider not only current data gravity but its potential growth. Data gravity will only increase over time, and in turn, will attract more applications and services. [1]

cloud-computing cloud hybrid cloud architecture

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