Abstract: Systems and methods are disclosed for aggregating data capable of diagnosing unique datacenter issues. Traffic statistic collection may be moved from intermediate, datacenter nodes to end hosts providing reports for aggregation and correlation with events at an analytic controller, uncovering implications for such events. To track metrics and/or diagnose datacenter issues not addressed in traffic statistics, information locally available to the end hosts may be combined and/or correlated with traffic statistics. Examples may involve information about: virtual and physical computing resources; a sub-cluster; an application and/or process utilized by a datacenter task; a task/job type; an implementation phase; an initiating user; a task priority; link utilization and/or other traffic statistics relative to the foregoing.

Abstract: Systems and methods are disclosed for aggregating data capable of diagnosing unique datacenter issues. Traffic statistic collection may be moved from intermediate, datacenter nodes to end hosts providing reports for aggregation and correlation with events at an analytic controller, uncovering implications for such events. To track metrics and/or diagnose datacenter issues not addressed in traffic statistics, information locally available to the end hosts may be combined and/or correlated with traffic statistics. Examples may involve information about: virtual and physical computing resources; a sub-cluster; an application and/or process utilized by a datacenter task; a task/job type; an implementation phase; an initiating user; a task priority; link utilization and/or other traffic statistics relative to the foregoing.