Chapter 6: Integrating Comet into DevOps
Model deployment and monitoring are the last two steps in a data science project life cycle. The former permits you to move your project from testing to production, and the latter provides with you all the strategies and tools to ensure that your project is running without errors, secure, and updated.
You can implement model deployment by adopting a particular philosophy, called DevOps. DevOps (short for Development and Operations) is a set of best practices that permit software developers and operations teams to collaborate during the whole software project life cycle to improve software development, speed, and efficiency through automatic techniques.
As you have already learned from the previous chapters, ...
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