"First, "automated systems" are how everything of even small scale is run in technology. Once upon a time, a valid question was "how many servers can a sysadmin handle." Today the answer is either "all of them," or else you're doing it wrong. "When thing X happens, do thing Y" is how computers basically work, and it's about as much "AI" as it is a breakfast cereal."
"A single AWS region is a single point of failure. With a lot of dedicated work, you can add another cloud provider or AWS region or datacenter into the mix until finally, at tremendous effort and expense, you have added a second single point of failure. Good work; now you're subject to your existing issues with us-east-1, but you've added in your workload having problems whenever Azure hiccups too."
AWS's October 20 outage involved cascading failures driven by routine automated operational rules rather than generative AI. Automated "when X then Y" systems run most operational tasks at scale and are not equivalent to humanlike AI. Incident analysis did not invoke Generative AI as a root cause. Attempts to mitigate such outages by adopting multiple cloud providers risk adding incompatible building blocks, forcing lowest-common-denominator designs, increasing effort and expense, and exposing workloads to the combined failure modes of each provider.
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