As I move from project to project, I’ve seen the latest trend is to leverage operational tools, such as AIops and security operations platforms to automate most of what it takes to proactively operate a cloud, hybrid cloud, or multicloud deployment. This means automating everything from routine management and monitoring to shutting down and starting servers to work around problems, and all the while machine learning on the job (that’s the AI in AIops).
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Nobody is ready to retrain their ops staff yet, but it’s clear that advances in root-cause diagnostics and self-healing processes, business continuity and disaster recovery, and other services that make up the daily life of a cloudops engineer can be automated to be more reliable than humans. We’re now dealing with tools that can learn, that improve as they experience operations, that can perhaps work better than a human, eventually.
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