MLOPS Types of Triggers
MLOps Types of Triggers
In MLOps, automation plays a crucial role in streamlining the machine learning lifecycle. One of the key components of this automation is triggers, which help initiate workflows based on specific conditions or events.
This video explores various types of MLOps triggers, including:
✅ Artifactory Trigger – Automates deployment when a new model artifact is published.
✅ Git Trigger – Initiates CI/CD pipelines when new code is pushed or merged into a repository.
✅ Time-Based Trigger – Schedules model retraining or pipeline execution at specific intervals.
✅ Data Trigger – Activates workflows when new data is ingested or updated in the pipeline.
By leveraging these triggers, teams can enhance automation, improve model deployment efficiency, and ensure seamless integration across the MLOps pipeline.
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