Kubernetes is finding its way from the cloud to the edge via the data center. During the early days, Kubernetes was considered for hyperscale workloads running in the public cloud. Within a few years, enterprises started to adopt Kubernetes in the data center. It eventually became the consistent and unified infrastructure layer to run workloads in hybrid cloud and multicloud environments.
The rise of the Internet of Things and AI prompted the industry in moving the compute capabilities closer to the data which has become the edge computing layer.
Edge computing is an intermediary between the devices and the cloud or data center. It applies business logic to the data ingested by devices while providing analytics in real-time. It acts as a conduit between the origin of the data and the cloud, which dramatically reduces the latency that may occur due to the roundtrip to the cloud. Since the edge can process and filter the data that needs to be sent to the cloud, it also reduces the bandwidth cost. Finally, edge computing will help organizations with data locality and sovereignty through local processing and storage.
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Janakiram MSV is an analyst, advisor, and architect. Follow him on Twitter, Facebook and LinkedIn.
