With the industry experiencing massive adoption of the public cloud, it is clear that the enterprises have crossed the cloud chasm. Some of the most skeptic CXOs from the financial and public sector domains are now convinced about the value of cloud. With cloud computing becoming mainstream, what’s next for the enterprise infrastructure?
The next big thing for enterprise IT comes in the form of edge computing – a paradigm where compute moves closer to the source of data. Edge computing addresses many challenges that enterprise IT faces when running data-centric workloads in the cloud. It reduces the amount of data that flows back and forth between the datacenter and the public cloud. Edge computing will enable IT to retain sensitive data on-premises while still taking advantage of the elasticity offered by the public cloud. It reduces the latency involved in dealing with public cloud platforms.
There is a misconception that edge computing is designed only for the Internet of Things. Edge computing is all set to become the most preferred architecture for running data-driven, intelligent applications. Though edge computing is ideal for IoT solutions, it offers tremendous value for the departmental and traditional line of business applications.
The future applications built for edge computing will be based on a three-tier architecture, which is fundamentally different from the three-tier architecture of the 90s. It’s a brand-new paradigm structured around the cutting-edge technologies based on cloud, machine learning, and fast data.
The emerging three-tier architecture will consist of the following logical layers:
Data Sources – Computing is becoming increasingly data-driven. From TVs to smartphones, to industrial equipment to CRM, SCM, and ERP, everything is a source of data. With compute and storage becoming affordable, it is easier to acquire and store data from a variety of sources. Combining and correlating these datasets help us unlock new insights. The data source tier includes anything that can generate data, which includes machine logs, click streams, social media feeds, RDBMS, unstructured data, and structured data. In the new three-their architecture, the source of data becomes the first tier.
Operational and Actionable Insights – This layer is responsible for taking actions based on the intelligence offered by the previous tier. Enterprise decision makers will be able to gain accurate insights based on the analysis delivered by the intelligence layer. This would accelerate the decision-making process of the CXOs and executives. This tier can also be authorized to act on behalf of the user. For example, when a particular condition is evaluated as true by the rules engine, a component in this tier can control the machinery or equipment. In short, this is where the users will access those rich dashboards with KPIs.