Monday, December 14, 2020

Architecture Patterns for Kubernetes at the Edge

Edge computing continues to increase and enterprise application developers and hyperscale cloud providers (Google Cloud, Microsoft Azure, etc.) are betting on Kubernetes at the edge with open source projects like k3s Lightweight Kubernetes and Google Anthos. However, different challenges arise when companies want to have a consistent approach for managing workloads at the edge using Kubernetes. For instance, the three major reasons companies opt for edge computing are low latency, data privacy, and bandwidth scalability. These are critical factors when architecting use cases at the edge such as for  internet of things (IoT) applications like autonomous cars. Here decisions…

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