Technologies for Performing Orchestration With Online Analytics of Telemetry Data

One or more machine-readable storage media comprising a plurality of instructions stored thereon that, in response to being executed, cause an orchestrator server to:

• assign the workloads to each of a plurality of managed nodes;
• receive telemetry data indicative of resource utilization from the plurality of managed nodes as the workloads are performed;
• generate data analytics as a function of the telemetry data as the workloads are performed;
• determine, as a function of the data analytics as the workloads are performed, adjustments to the workload assignments to increase resource utilization among the managed nodes;
• and
• apply the determined adjustments to the managed nodes as the workloads are performed.

An orchestrator server to manage workloads among a plurality of managed nodes coupled to a network, the orchestrator server comprising:

• circuitry assigning the workloads to each of the managed nodes;
• circuitry for receiving telemetry data indicative of resource utilization from the plurality of managed nodes as the workloads are performed;
• means for generating data analytics as a function of the telemetry data as the workloads are performed;
• means for determining, as a function of the data analytics as the workloads are performed, adjustments to the workload assignments to increase resource utilization among the managed nodes;
• and
• means for applying the determined adjustments to the managed nodes as the workloads are performed.

A method for managing workloads among a plurality of managed nodes coupled to a network, the method comprising:

• assigning, by an orchestrator server, the workloads to each of the managed nodes;
• receiving, by the orchestrator server, telemetry data indicative of resource utilization from the plurality of managed nodes as the workloads are performed;
• generating, by the orchestrator server, data analytics as a function of the telemetry data as the workloads are performed;
• determining, by the orchestrator server, as a function of the data analytics and as the workloads are performed, adjustments to the workload assignments to increase resource utilization among the managed nodes;
• and
• applying, by the orchestrator server, the determined adjustments as the workloads are performed.