Add Error Logging for Large SmartObject Data Retrievals

When a SmartObject retrieves a substantial volume of data, it can cause significant performance strain on the server. This is particularly evident when the data size exceeds thresholds like 500 MB or 1 GB, which may result in high CPU usage and potential server instability.

Current Challenge: Identifying SmartObjects that cause performance issues currently requires capturing a memory dump and performing deep analysis, a time-consuming process that delays troubleshooting and resolution.

Proposed Enhancement:

1. Configurable Error Logging: Introduce an error logging mechanism that records incidents when a SmartObject call returns data larger than a specified size (e.g., 500 MB or 1 GB). This size limit should be configurable via a settings file.

2. Non-Disruptive Logging: Ensure the logging captures information without interrupting the transaction, allowing for continuous operations while still gathering valuable diagnostic data.

3. Adaptive Performance Monitoring: Add options for administrators to set warnings or thresholds to manage large data retrievals and prevent excessive resource consumption.

4. Cloud and On-Premises Compatibility: Implement a similar monitoring capability for cloud environments to ensure consistent and proactive performance management.

Benefits:

• Simplifies the identification of problematic SmartObjects without extensive memory analysis.

• Enhances server stability by allowing administrators to monitor and manage large data retrievals.

• Offers a customizable solution that adapts to different environments and performance requirements.

• Helps prevent unexpected CPU spikes and maintains consistent performance.