Grey failure detection on network operating system

One or more non-transitory computer-readable media comprising computer-readable instructions stored thereon, wherein the computer-readable instructions, when executed by one or more processors of a network controller, cause the one or more processors to:

• receive event data for a network node, the event data including a collection of independent parameters associated with performance of a network;
• generate a first metric and a second metric based on the event data, wherein the first metric is associated with a first network parameter received as part of the event data and the second metric is associated with a second network parameter received as part of the event data;
• determine a first pattern of growth of the first metric and a second pattern of growth of the second metric over a sliding window, wherein determining the first pattern of growth and the second pattern of growth comprises identifying a respective curve for each respective metric over the sliding window;
• determine a correlation across the first metric and the second metric based on the first pattern and the second pattern, wherein determining the correlation comprises determining trends between the respective curve of the first pattern of growth and the respective curve of the second pattern of growth within the sliding window;
• and
• determine a grey failure of the network node based on the correlation.

A network controller comprising:

• one or more processors;
• and
• one or more memories configured to store computer-readable instructions thereon, which when executed by the one or more processors, cause the one or more processors to:
• receive event data for a network node, the event data including a collection of independent parameters associated with performance of a network;
• generate a first metric and a second metric based on the event data, wherein the first metric is associated with a first network parameter received as part of the event data and the second metric is associated with a second network parameter received as part of the event data;
• determine a first pattern of growth of the first metric and a second pattern of growth of the second metric over a sliding window, wherein determining the first pattern of growth and the second pattern of growth comprises identifying a respective curve for each respective metric over the sliding window;
• determine a correlation across the first metric and the second metric based on the first pattern and the second pattern, wherein determining the correlation comprises determining trends between the respective curve of the first pattern of growth and the respective curve of the second pattern of growth within the sliding window;
• and
• determine a grey failure of the network node based on the correlation.