Analytics platform spanning a unified subnet

1. A method of operating an expert integrated system comprising:

providing an expert operating system including a plurality of deployments and an analytics platform, in which:

each deployment is respectively characterized by a plurality of patterns,

each pattern represents a set of data processing tasks,

each deployment includes a plurality of virtual machines programmed to perform the data processing associated with the deployment's plurality of patterns, and

each deployment further including a set of management nodes structured, programmed and/or connected to manage the deployment's plurality of virtual machines;

collect, by the analytics platform, analytics input data from the set of management nodes of each deployment of the plurality of deployments;

performing, by the analytics platform, analytics processing on the analytics input data to provide analytics output data that relates to operational performance of each deployment;

providing a unified subnet that is at least substantially limited to providing communication between the analytics platform and the sets of management nodes of the deployments of the plurality of deployments, with the unified subnet taking one of the following forms: a subset portion of a larger network, or an independent and free-standing network;

performing analytics, under a pipe analytics model, on the analytics input data to provide analytics output data that relates to operational performance of each pattern within a deployment wherein the pipe analytic model, which is based on hypertext transfer protocol, provides an architecture that defines and executes a pipe with a sequential search, modification/cleansing of searched data, and visualization of the data using a single thread request/response paradigm; and

presenting at least a portion of the analytics output data in human understandable form and format.

2. The method of claim 1 further comprising:

holding a distributed cluster of nodes within a management layer so that data is collected from the management layer;

aggregating the analytics input data provided by the management layer; and

applying analytics-level machine logic to the analytics input data to generate the analytics output data.

3. The method of claim 1 wherein:

the plurality of deployments includes a first deployment and a second deployment;

the first deployment includes a first set of management nodes;

the second deployment includes a second set of management nodes;

the first set of management nodes is located in a first cloud;

the second set of management nodes is located in a second cloud; and

the subnet extends across at least the first and second clouds.

4. The method of claim 1 wherein the management nodes are in the form of management blades.

5. The method of claim 1 wherein the analytics output data includes information indicative of performance of a set of patterns of a deployment on a pattern-by-pattern basis.

6. The method of claim 1 wherein the analytics output data includes information indicative of a set of virtual machines of a deployment on a virtual-machine-by-virtual-machine basis.