Self-healing latency issues in a cluster network using golden signal telemetry datasets

A method of debugging issues in a cluster network executing a backup operation processing data from a plurality of pods each periodically generating golden signal metric datasets for transmission to consumers, comprising:

• Registering, with a telemetry transmitter, a latency golden signal measuring a time between a moment a data protection operation is requested and when it is initiated, by storing a registering pod identifier, a latency probe identifier, and endpoint, and a threshold value;
• Detecting, by the latency probe, when the threshold value is exceeded by an operation generating the golden signal indicating a problem with the operation;
• and
• Calling a self-healing process to identify and debug the problem with the operation.

A system for debugging issues in a cluster network executing a backup operation processing data from a plurality of pods each periodically generating golden signal metric datasets for transmission to consumers, comprising:

• A telemetry transmitter registering, a latency golden signal measuring a time between a moment a data protection operation is requested and when it is initiated, by storing a registering pod identifier, a latency probe identifier, and endpoint, and a threshold value;
• A latency probe detecting when the threshold value is exceeded by an operation generating the golden signal indicating a problem with the operation;
• and
• A self-healing process component configured to identify and debug the problem with the operation.