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Simon Larsen 896020b93b feat: Add KEDA autoscaling configuration for various ingests

- 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.

2025-08-01 10:29:02 +01:00