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Multi Cluster Observability with AIOps
The proto file for log payload needs to be updated to include additional fields including pod_name, namespace_name, deployment and service.
For the pre-trained model, criteria must be defined for determining whether or not a Longhorn log is Normal or Anomalous. This step would be after the logs have been collected.
As workload logs will be included in training and inferencing based on pod name, namespace name, deployment, service, the proto file needs to be updated to include these as possible...
Design and implement a POC for workload anomaly detection initially based on pod names and training a Deep Learning model as well as determining which logs are sent over for...
The Opni ingest plugin needs to be modified to identify Longhorn logs based on criteria defined by working with the Longhorn team.
A service discovery backend with the information we have access to at runtime will probably never work. We need the user to provide the following things : - name of...
Create an API that queries the status of an SLO, and returns one of : - No data - grey (no incoming data for the SLO) - Ok - green...