Node health prediction based on failure issues experienced prior to deployment in a cloud computing system

A device, comprising:

• a memory to store data and instructions;
• and
• a processor in communication with the memory, wherein the processor is operable to:
• identify a plurality of failure issues experienced by nodes in a cloud computing system;
• generate a graph that comprises information about the plurality of failure issues;
• represent the plurality of failure issues as vertices within the graph;
• represent transitions between different failure issues as edges within the graph;
• identify an edge with a thickness of the edge indicating a failure issue is repeatedly occurring in a plurality of nodes;
• modify an error diagnostic process based at least in part on the thickness of the edge indicating that the failure issue is occurring in the plurality of nodes;
• modify a process for servicing the plurality of nodes with a different repair based at least in part on the information within the graph indicating that the failure issues is occurring in the plurality of nodes, thereby producing a modified process;
• and
• perform corrective action with respect to at least one pre-production node based at least in part on the modified process.