A Heterogeneous Ecosystem
Automation is not new for hyperscale players such as Amazon Web Services (AWS) and Microsoft Azure. These companies have API toolsets, software automation, and Artificial Intelligence (AI) and Machine Learning (ML) that monitor and drive a cloud infrastructure that includes millions of compute cores. With cloud platforms, there is no infrastructure heterogeneity and that aids in end-to-end platform observability, and by extension, automation. Furthermore, for software giants such as Google, Amazon, and Microsoft, a decision to launch a new service across their global operations does not require a conversation among multiple companies that need to achieve alignment and agreement among themselves.
Telcos, by contrast, are composed of thousands of Communications Service Providers (CSPs) and hundreds of vendors that compete and move sometimes slightly, sometimes vastly, in different directions. Furthermore, their vendors’ component interfaces and solutions come with their own naming conventions, data formats, and proprietary interfaces. This ecosystem diversity creates complexity that do…
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