Interesting and realistic take on how the future will unfold for Ops. Yes, I was that devops person, way before devops became a thing.
Agree to most of the reasoning, though AI ops assuming product design needs more pondering.
My supplemental thoughts.
Finops is already a thing with Prosperops like companies saving enterprises money thru good cost reductions. This will gravitate towards onprem ops too as many enterprises are shifting data back into onprem systems due to their data being the gold and to reduce abnormal cloud costs.
Mlops is already in place and is one of the top reasons why enterprises like mine go for Data robot and/Or Databricks.
Dataops is going to be huge especially since data pipelines and data engineering is at the heart of AI ML.
I have also been hearing from 'Agentic Ops' companies who promise the keep all my agents in check, though I do think this will be rolled into observability kings like Datadog, Dynatrace etc.
CodeOps is one I would add, as we need to know which Agent checked in that BUG and how that skipped peer, code reviews, passed the battery of tests and was promoted to prod.. which brought the enterprise down crashing :)
Yes, we are sure on the way to another interesting transformation. Tech will still be a decider for great business outcomes, though AI coding is leveling the playing field.
Interesting and realistic take on how the future will unfold for Ops. Yes, I was that devops person, way before devops became a thing.
Agree to most of the reasoning, though AI ops assuming product design needs more pondering.
My supplemental thoughts.
Finops is already a thing with Prosperops like companies saving enterprises money thru good cost reductions. This will gravitate towards onprem ops too as many enterprises are shifting data back into onprem systems due to their data being the gold and to reduce abnormal cloud costs.
Mlops is already in place and is one of the top reasons why enterprises like mine go for Data robot and/Or Databricks.
Dataops is going to be huge especially since data pipelines and data engineering is at the heart of AI ML.
I have also been hearing from 'Agentic Ops' companies who promise the keep all my agents in check, though I do think this will be rolled into observability kings like Datadog, Dynatrace etc.
CodeOps is one I would add, as we need to know which Agent checked in that BUG and how that skipped peer, code reviews, passed the battery of tests and was promoted to prod.. which brought the enterprise down crashing :)
Yes, we are sure on the way to another interesting transformation. Tech will still be a decider for great business outcomes, though AI coding is leveling the playing field.
Lots of Ops coming down the pipeline :)
Bobby, You could be a pioneer to introduce CTO Ops :) and add to the ever growing Ops list