Data-driven organizations treat data as a corporate asset and actively look for ways to turn it into a competitive advantage, the easy scalability of the cloud makes it a potentially ideal model for data storage. In the first place, while the terminology surrounding cloud services may be a bit cloudy itself, the goal is clear—to create the dynamic data center and infinite scalability, which can reduce the labor-intensive, tactical aspects of providing IT services, freeing managers to pursue innovation and strategic planning.
Shared responsibility in the cloud means that, while AWS is responsible for the security of the cloud, you are responsible for the security of the applications and data you place in the cloud. As a result, due to availability and cost, the labor arbitrage model came to the rescue, the cloud model can bring many monetary and efficiency advantages, but requires your organization to do a total value analysis and deeply assess its own comfort level with the risks introduced in a cloud-based environment, especially, if you manage or hire developers, are solving business problems with technology, or write code yourself.
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