- Updated multiple API routes to use NextFunction for error handling.
- Wrapped asynchronous route handlers in try-catch blocks to catch and pass errors to the next middleware.
- Ensured consistent error responses across various endpoints, improving maintainability and readability.
- Enhanced the structure of the code by reducing nested try-catch blocks and improving flow control.
- Updated comments in Probe/Config.ts to use block comments for proxy configuration.
- Refactored comments in PortMonitor.ts, SyntheticMonitor.ts, and OnlineCheck.ts to block comments for better readability.
- Adjusted comments in ProbeIngest/API/Monitor.ts and ProbeIngest/API/Probe.ts to block comments for clarity.
- Standardized comments in various data migration scripts to block comments for consistency.
- Modified eslint.config.js to enforce multiline comment style as an error.
- Added missing comma in AllModelTypes array in Index.ts.
- Refactored MigrationName1754304193228 to improve query formatting and readability.
- Refactored MigrationName1754315774827 for consistency in formatting.
- Updated migration index file to include new migration.
- Standardized string quotes in Queue.ts for consistency.
- Cleaned up SCIMAuthorization.ts by removing unnecessary whitespace and improving log formatting.
- Refactored StartServer.ts to standardize content-type header handling.
- Improved formatting in SCIM.tsx for better readability and consistency.
- Refactored Metrics.ts to standardize queueSize extraction and type checking.
- Enhanced Probe.ts logging for clarity and consistency.
- Introduced KEDA autoscaling configuration in values.yaml for probeIngest, fluentIngest, incomingRequestIngest, and serverMonitorIngest.
- Added endpoints for queue statistics, size, and failed jobs in IncomingRequestIngest and ProbeIngest APIs.
- Implemented asynchronous processing of incoming requests and probes using job queues.
- Created Metrics API for KEDA metrics integration in IncomingRequestIngest, ProbeIngest, and ServerMonitorIngest.
- Refactored IncomingRequest and Probe APIs to utilize queue services for processing.
- Added job processing logic for incoming requests and probes in respective job files.
- Implemented queue service classes for managing job addition and retrieval of queue statistics.
