One of the finding from my CMG'16 conference attending and speaking with the vendor's representatives is the
6fusion way to measure systems overall status by
WAC - Workload Allocation Cube.
"The tool measures the resource consumption of AWS compute (EC2) instances, along with Elastic Block Storage (EBS) volumes. It does this via 6fusion's "Workload Allocation Cube" (WAC) technology, which works by measuring datapoints that include CPU utilization, disk utilization, storage capacity, and disk, WAN, and LAN IOPS. This information is aggregated through its WAC technology to output a single value that reflects the performance and resource use of an app." -
http://www.theregister.co.uk/2013/07/29/6fusion_workload_allocation_cube/
My comment so far is following:
Long ago I tried to use "
System Health Index" (from Concord
eHeallth
performance monitor) to estimate the system usage based on 5 main subsystems measures and published my thoughts about it in my CMG'03;06;07 papers; E.G. see some details in the following post.
Having that metric recorded I have suggested (
in my CMG'07 paper) to use the
Tree-map report against that to get one overall health check picture of numerous systems.
Also I have applied my anomaly detection technique (SEDS) against that Health Index metric to detect at once any abnormal cases across all main 5 subsystems:
Anyway I see some similarity between modern "WAC" and the olde good "Health Index". Do you see it as well?
P.S. One more thing.... WAC is a cube and the SEDS data (SEDS profile) in the picture above is also a data cube that represent a "signature" of the object (server in the case). Actually if the Health index a cube also, the SEDS Health index profile would be a cube of cubes....!? ,
Anyway here is the discussion how that SEDS profile data cube can be built using the open source tools (my most visited post in this blog, btw...):
One Example of BIRT Data Cubes Usage for Performance Data Analysis