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In my previous blog, Why 2022 will be the year for edge automation, we discussed the objective of edge solutions to bring resources closer to the end user or data source.
As edge expands its IT footprint and becomes an extension of the data center, bare-metal, virtual environments, private cloud and public cloud start to coexist as part of the infrastructure.
While our customers move forward with their own automation journey, they are adding edge computing to the puzzle, with common automation challenges such as:
How to automate disparate architectures at scale?
How do we reduce the operational burden, if the IT teams do not grow exponentially?
What is needed to foster a collaborative automation practice?
As part of this blog we will go through a hybrid edge computing automation scenario. But let's start with the fundamental question: Why is hybrid cloud critical for edge computing?
Hybrid cloud to solve edge computing challenges
At the edge, geography matters.
The fundamental need is to allocate resources closer to where the data is generated to pre-process the information before forwarding it to the data centers. The reason for this architectural change is to increase Continue reading