Methods and systems for enhanced cluster health monitoring and unhealthy node detection through drop out-accumulation

A computer-program product for peer-relative performance management in a cluster of computing nodes, the computer-program product storing computer instructions that, when executed by processing circuitry, perform operations comprising:

• accessing computing node pair health testing data associated with a peer group of the cluster of computing nodes;
• deriving, for each of two or more pairs of computing nodes of the peer group, bidirectional performance information characterizing a performance of the respective pair of computing nodes;
• computing a peer-relative performance distribution across the peer group of computing nodes based on the derived bidirectional performance information;
• automatically generating, for each pair of computing nodes of the two or more pairs, a machine-readable node pair deviation state, wherein automatically generating the machine-readable node pair deviation state for a pair of computing nodes comprises:
• computing a quantified degree of peer-relative performance deviation for the pair based on the respective bidirectional performance information and the peer-relative performance distribution;
• determining whether the quantified degree of peer-relative performance deviation for the pair satisfies a performance deviation threshold;
• encoding, within the node pair deviation state, an indication that the respective pair exhibits peer-relative underperformance when the quantified degree of peer-relative performance deviation satisfies the performance deviation threshold;
• and
• encoding, within the node pair deviation state, an indication that the respective pair exhibits peer-relative conformance when the quantified degree of peer-relative performance deviation fails to satisfy the performance deviation threshold;
• automatically rendering an interactive cluster performance visualization artifact comprising a plurality of node pair representations corresponding to the peer group, wherein each node pair representation is encoded with visual attributes indicating the machine-readable node pair deviation state of the respective pair of computing nodes;
• receiving, via a graphical user interface rendering the interactive cluster performance visualization artifact, a user input selecting a computing node with at least one node pair representation whose visual attributes indicate that the computing node is included in a pair exhibiting peer-relative underperformance;
• in response to receiving the user input, initiating one or more corrective operations affecting the selected computing node.

A method for peer-relative performance management in a computing cluster, comprising:

• implementing a cluster performance insight interface in operable command communication with an administrative computing node of the cluster of computing nodes;
• accessing, via the cluster performance insight interface, computing node pair health testing data associated with a peer group of the cluster of computing nodes;
• deriving, for each of two or more pairs of computing nodes of the peer group, bidirectional performance information characterizing a performance of the respective pair of computing nodes;
• computing a peer-relative performance distribution across the peer group of computing nodes based on the derived bidirectional performance information;
• automatically generating, for each pair of computing nodes of the two or more pairs, a machine-readable node pair deviation state, wherein automatically generating the machine-readable node pair deviation state for a pair of computing nodes comprises:
• computing a quantified degree of peer-relative performance deviation for the pair based on the respective bidirectional performance information and the peer-relative performance distribution;
• determining whether the quantified degree of peer-relative performance deviation for the pair satisfies a performance deviation threshold;
• encoding, within the node pair deviation state, an indication that the respective pair exhibits peer-relative underperformance based on the quantified degree of peer-relative performance deviation satisfying the performance deviation threshold;
• and
• exposing the machine-readable node pair deviation states, wherein the machine-readable node pair deviation states are consumable data signals by one or more cluster management interfaces supporting operational control of workload placement and resource utilization within the cluster of computing nodes.