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The manual process of the development and deployment of an analytics application is very labor-intensive and time-consuming. This is especially true when you have tasks

The manual process of the development and deployment of an analytics application is very labor-intensive and time-consuming. This is especially true when you have tasks that need to be executed multiple times to collect experimental results for model selection and hyperparameters for fine-tuning, or when you have tasks that need to be scheduled as cronjobs that depend on the successful completion of other tasks. For this manual process, automation is the answer, and there are many initiatives and tools that have emerged over the past decade or so for this purpose. Three of these tools are: AirflowLinks to an external site., KubeflowLinks to an external site., and JenkinsLinks to an external site.. Which tool(s) do think will be more suited for containerized microservices and cloud-native applications, and why

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