- Added new performance monitoring settings in the configuration, including maximum requests per minute and data transfer limits.
- Introduced validation parameters for metrics, ensuring data integrity and consistency checks during collection.
- Refactored the metrics collector to streamline initialization and improve error handling.
- Removed deprecated database-related code and optimized metrics saving processes.
- Enhanced historical data management with regular clean-up routines to maintain performance.
These changes improve the configurability and reliability of the metrics system, ensuring accurate data handling and enhanced monitoring capabilities.
- Added new configuration structures for loading, saving, and validation settings in MetricsConfig.
- Introduced constants for load retry counts, intervals, and validation parameters to improve configurability.
- Enhanced metrics collector with data validation and consistency checks during metrics loading.
- Implemented backup and restore functionality for metrics data, ensuring data integrity and recoverability.
- Improved logging for metrics operations, providing better insights into the metrics collection process.
These changes enhance the flexibility and reliability of the metrics system, ensuring accurate data handling and improved monitoring capabilities.
- Added new performance monitoring thresholds for maximum requests and data transfer rates.
- Introduced dynamic save interval adjustments based on data change rates to optimize database writes.
- Implemented a retry mechanism for loading recent statistics, improving reliability in data retrieval.
- Consolidated metrics saving into a single method, SaveAllMetrics, to streamline database transactions and improve performance.
- Enhanced error handling and logging throughout the metrics collection process for better monitoring.
These changes improve the efficiency and reliability of the metrics system, ensuring more accurate and timely data collection.
- Introduced new constants for data retention periods, specifying retention for metrics, status codes, paths, and referers to improve data management.
- Updated the MetricsHistoryHandler to accept floating-point hours for more precise time queries, enhancing the flexibility of historical data retrieval.
- Enhanced the metrics dashboard layout with additional CSS styles for better visual presentation and user experience.
- Improved error handling in the response writing process to ensure robust logging of connection issues.
- Implemented a new function to check for connection closure errors, improving the reliability of the proxy handler.
These changes significantly enhance the metrics collection, retention, and user interface, providing a more robust framework for performance monitoring and data analysis.
- Increased ErrorRate threshold from 0.5 to 0.8 for stricter alerting.
- Added AlertInterval setting to config for customizable notification intervals.
- Updated latency thresholds for small, medium, and large files to improve performance monitoring.
- Enhanced metrics handling to incorporate new alert configurations in the system.
- Added new dependency on github.com/mattn/go-sqlite3 for improved metrics storage.
- Updated main.go to initialize metrics collector with a new database path and configuration settings.
- Enhanced config.json to include additional metrics settings such as alert configurations and latency thresholds.
- Refactored internal metrics handling to support new metrics structures and improve data retrieval.
- Introduced a new metrics history endpoint for retrieving historical data, enhancing monitoring capabilities.
- Improved UI for metrics dashboard to include historical data visualization options.
