________ involves setting predefined thresholds for key metrics to trigger alerts in case of anomalies.
- Alerting
- Logging
- Monitoring
- Visualization
Alerting involves setting predefined thresholds for key metrics in data pipeline monitoring to trigger alerts or notifications when these metrics deviate from expected values. These thresholds are defined based on acceptable performance criteria or service level agreements (SLAs). Alerting mechanisms help data engineers promptly identify and respond to anomalies, errors, or performance issues within the pipeline, ensuring the reliability and efficiency of data processing.
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