- 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.
- 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.
- Updated docker-compose.yml to include resource limits and health checks for the service.
- Modified go.mod and go.sum to include the new dependency on golang.org/x/time.
- Enhanced main.go to add new metrics routes for monitoring.
- Updated config.json to include metrics configuration with password and token expiry.
- Refactored internal/config to implement a ConfigManager for dynamic configuration loading.
- Improved internal/handler to utilize a shared HTTP client and added metrics tracking for requests.
