Many development teams find their CI/CD pipelines accumulate technical debt over time, becoming complex and poorly understood. This is significant for AI/ML/Data Science professionals because reliable pipelines are crucial for deploying and monitoring models, and undocumented processes increase the risk of errors and slow down iteration. A practical step to consider is regularly auditing deployment permissions and rollback procedures to ensure accountability and efficiency, preventing potentially lengthy incident investigations.
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