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Tools to start Machine Learning Using Docker and Kubernetes

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MLOps is essentially a compound of two terms - Machine Learning and Operations. MLOps is a practice wherein data scientists, especially the ones specializing in Machine Learning, collaborate and communicate with the Operations team of a company to manage Machine Learning software lifecycles to be put into production. Using this practice, data science and operations teams can deploy, maintain, and govern all software production cycles.The idea here is to not only increase the automation in the production cycles but also improve their quality. Optimized and highly automated Machine Learning is developed and developed with business and compliance requirements in mind. To be able to do so successfully, the Machine Learning team requires a framework that can enable them to develop software by keeping business goals and objectives in mind. This is where Kubernetes and Docker come into play.

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