OCB: DevOps vs. MLOps vs. AIOps - Zak Berrie (Red Hat)

Zak Berrie, Red Hat Machine Learning Specialist, discusses and disambiguates the concepts of DevOps, MLOps and AIOps. In doing so, he attempts to find an elusive “Unified *Ops Field Theory.” Discussion and debate are welcome on this developing area of IT.

Zak Berrie, Red Hat Machine Learning Specialist, discusses and disambiguates the concepts of DevOps, MLOps and AIOps. In doing so, he attempts to find an elusive “Unified *Ops Field Theory.” Discussion and debate are welcome on this developing area of IT.

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AIOps vs MLOps vs DevOps Zak Berrie (Red Hat) | NVIDIA GTC OSCG

DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.

What is DevOps? How are organizations transitioning to DevOps? Is it possible for organizations to shift to enterprise DevOps? Read more to find out!

What is DevOps? What are the goals it helps achieves? What are its benefits? This article has answers!

Where DevOps fell short and MLOps did not. MLOps is everything that DevOps is, plus the part where it takes care of your ML model training along with dataset and model management.