There is no question that, whether public or private, cloud computing reigns as the new industry standard. This, of course, does not mean everything shifts overnight, but rather that data architects must ensure that their decisions fit with this path forward.
In this chapter, we take a look at the major shifts moving cloud architectures forward, and how you can best utilize them for data processing.
Cloud Is the New Datacenter
Today, cloud deployments have become the preferred method for new companies building data processing applications. The cloud has also become the dominant theme for traditional businesses as these organizations look to drive new applications and cost-optimize those already existing.
Cloud computing has essentially become the shortcut to having your own datacenter, albeit now with on-demand resources and a variety of built-in services.
Though early implementations of cloud computing came with some inherent differences compared to traditional datacenter architectures, those gaps are closing quickly.
Architectural Considerations for Cloud Computing
Understandably, cloud computing has a few architectural underpinnings different from traditional on-premises deployments. In particular, server persistence, scalability, and security need a new lens (Figure 4-1).
Figure 4-1. Architectural considerations for cloud computing
Persistence ...
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