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The Ops Compendium
  • The Ops Compendium
  • Definitions
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  • MLOps
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Definitions

I asked ChatGPT "what are DataOps, MLOps, GitOps , DevOps and the DevSecOps professions?

The answer:

DataOps, MLOps, DevOps and GitOps are specialized areas within the field of operations management. DevSecOps is a combination of these areas with a focus on security.

DataOps is a set of practices that combines data management (data) and information technology operations (Ops). It aims to improve the speed and reliability of data analytics by automating data pipelines and promoting collaboration between data engineers, data scientists, and IT operations professionals.

MLOps, or machine learning operations, is a set of practices that combines machine learning (ML) and information technology operations (Ops). It aims to improve the speed and reliability of deploying machine learning models into production environments by automating the build, test, and release process, and promoting collaboration between data scientists, machine learning engineers, and IT operations professionals.

GitOps is a set of practices that uses Git as a single source of truth for declarative infrastructure and application code. It aims to improve the speed and reliability of deploying applications by using Git as the central source of truth for the entire delivery process, from development to production.

DevOps is a set of practices that combines software development (Dev) and information technology operations (Ops). It aims to shorten the development lifecycle and provide continuous delivery and integration of software.

DevSecOps is a set of practices that combines DevOps with a focus on security (Sec). It aims to improve the security of the software development and delivery process by integrating security practices into the development lifecycle and promoting collaboration between development, security, and operations teams.

Generally, individuals working in these specialized areas of operations management may be referred to as DevOps professionals, DataOps professionals, MLOps professionals, GitOps professionals, or DevSecOps professionals, depending on their specific area of expertise.

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Last updated 2 years ago

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