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Exploring Go for DevOps and MLOps
The chapter delves into the suitability of Go for DevOps practices, considering its performance and parallelism capabilities. It highlights using Go for MLOps in automating the deployment of machine learning models and discusses various lesser-known features and tools in Go beneficial for DevOps tasks. The conversation extends to tracing tools, best practices for shipping software, and the potential addition of an AI feature in GoerLizr.