A practical breakdown of DevOps, MLOps, and AIOps, with diagrams and a realistic roadmap for teams that want to start without drowning in buzzwords.
A lot of teams throw around DevOps, MLOps, and AIOps like they are the same thing with slightly different branding.
They are not.
They overlap, but each one solves a different operational problem:
DevOps helps teams ship software faster and more reliably.
MLOps helps teams build, deploy, monitor, and retrain machine learning systems.
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