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Tuesday, December 27, 2016

How Bayesian inference works. Can that improve the SPC?



What about using that approach for SPC?  At least one article is HERE about it:
Bayesian Statistical Process Control
 and some dispute is HERE:

Why isn't bayesian statistics more popular for statistical process control 


Note there is a "Bayesian statistical process control chart"...

In my experience we often do not have too many data to be used for mean, UCL and LCL  calculations, so based on "An Application to Bayesian Methods in SPC": 

I plan to explore this more....


Friday, December 23, 2016

CMG Amplify - new blog about Capacity and Performance

Wednesday, December 7, 2016

The BANK should be a tech company to win the market

I work for Capital One bank as IT SME and naturally I support the direction it goes. Friends keep asking me how the bank could be a tech company like Netflix? The best who can answer that question is the CIO of Capital One. HERE IT IS:

Capital One rides the cloud to tech company transformation

I finally am getting  use to a new style of workplace I have now:
The picture from the article linked above


Friday, December 2, 2016

CMG'16 (#imPACt) aftershocks: Could we WAC the #Cloud? or how to build cube of cubes

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.

Disk Subsystem Capacity Management - my CMG'03 paper - "Health Index" metric and Dynamic Thresholds

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:

I have published a few examples in my CMG'06  SYSTEM MANAGEMENT BY EXCEPTION, PART 6 
















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