Watcher Alerting and Notification

A primary function of the MARS Watcher is to monitor ongoing data processes and alert relevant personnel about exceptions or potential issues. This includes both reactive alerts for immediate problems and proactive alerts based on predictive analysis.

Alerting Mechanisms:

• Exception Alerts: Watcher monitors processes for explicit failures or deviations from expected norms. This includes:
• Failure to receive an expected file within a defined schedule.
• Errors encountered during data ingestion or processing steps (e.g., file corruption, transformation failures).
• Data failing reconciliation checks.
• Processing durations exceeding predefined thresholds. Standard alerts are triggered when these exceptions occur, notifying administrators via configured channels (e.g., email, system logs, monitoring dashboards).
• Predictive Alerts (AI/ML Driven): Leveraging its AI/ML capabilities, Watcher analyzes historical trends in data feeds and processing times. Based on this analysis, it can generate predictive alerts for potential future issues, such as:
• Forecasting that a scheduled file feed is likely to be delayed.
• Predicting that a specific processing job may take longer than usual based on input size or recent performance.
• Identifying anomalies in data volume or frequency that might indicate an upstream problem. These predictive alerts allow administrators to investigate or prepare for potential disruptions before they impact end-users or critical business operations.
• Configurability: Alerting rules, thresholds, notification methods, and recipients are typically configurable to match specific operational requirements and severity levels.

This comprehensive alerting system helps ensure the reliability and timeliness of data processing workflows managed by the MARS platform.