Edge Computing is about distributing computational power and data storage wherever needed. From a developer's perspective, the whole point is to bring cloud-native tools and techniques outside the data center. Naturally, this includes Kubernetes. But is Kubernetes needed on the Edge? Or rather, do *you* need Kubernetes for your project? Many of the leading Edge platforms available right now can orchestrate applications and services independently. Others, however, integrate with Kubernetes or are directly based on it. Which one is the right approach for you? In this session, you will learn how to answer this question through examples related to industrial automation, artificial intelligence, and connected vehicles.
Objective of the presentation:
To provide the audience with information they will be able to use to make better decisions when selecting and deploying edge computing infrastructure.
Attendee pre-requisites - If none, enter "N/A":
Some familiarity with containers and Kubernetes is useful, but not mandatory.
