Feature Request: Monitoring Capability for SuperDuperDB

[thejumpman2323]

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Why

Currently, SuperDuperDB lacks a monitoring capability, which is crucial for tracking activities and ensuring the integrity and performance of deployed models on databases. To address this limitation, I propose implementing a monitoring feature that enables users to easily monitor changes and detect potential issues in their database collections.

How

I suggest introducing a new API contract for the monitoring feature in SuperDuperDB. The proposed API structure is as follows:

config = MonitorConfig(drift='all', psi=True, summarize=True)

watcher = MonitorWatcher(identifier='my-monitor', select=Collection('test_collection').find(), reference=Collection('training_data').find(), config=config, every='1hr')
db.add(watcher)

The MonitorConfig class allows users to configure various monitoring options such as drift detection ('all'), population stability index (PSI) calculation (psi=True), and summary generation (summarize=True). The MonitorWatcher class represents a monitoring job and includes parameters like an identifier for the monitor, the selection criteria for the monitored collection (select), the reference collection for comparison (reference), the monitoring configuration (config), and the frequency of monitoring (every='1hr').

Once this feature is implemented, any activity on the defined collection will trigger the corresponding monitoring job, allowing users to track changes, identify potential drift, and maintain the accuracy and performance of their deployed models.

Expected Benefits The addition of monitoring capabilities to SuperDuperDB offers several benefits, including:

Enhanced Model Performance: Users can effectively track and monitor database collections, ensuring the accuracy and performance of deployed models over time. Automated Detection of Drift: The monitoring feature automatically detects drift in the monitored collection, helping users identify changes that may impact model predictions. Population Stability Index (PSI) Calculation: PSI calculation provides a statistical measure of population changes, allowing users to assess the stability of their data and take appropriate actions if significant shifts occur. Summary Generation: Users can obtain summary reports detailing the detected changes and overall model performance, facilitating better decision-making and troubleshooting.

Implementation Details

To implement the monitoring capability, the following steps are proposed:

• Create the MonitorConfig and MonitorWatcher classes that encapsulate the necessary parameters and functionality for monitoring.
• Integrate the monitoring API into SuperDuperDB's existing codebase, ensuring compatibility and adherence to coding standards.
• Implement the logic to trigger monitoring jobs based on defined configurations and frequencies.
• Develop the drift detection, PSI calculation, and summary generation mechanisms to provide valuable insights to users.
• Write comprehensive unit tests to ensure the accuracy and robustness of the monitoring feature.
• Update the SuperDuperDB documentation to include instructions and examples on how to utilize the monitoring capabilities.

Additional Considerations

While implementing this feature, the following points should be taken into account:

Scalability: Ensure that the monitoring feature is optimized to handle large database collections without compromising performance. Flexibility: Consider providing additional configuration options and customization capabilities to cater to diverse monitoring requirements. Error Handling: Implement appropriate error handling mechanisms and clear error messages to aid users in troubleshooting potential issues.

Related Issues and Dependencies

This feature request does not have any direct dependencies on existing issues. However, it may be beneficial to coordinate with the SuperDuperDB team to ensure alignment with the project roadmap and avoid any potential conflicts with ongoing development.

cc @blythed @fkiraly