Percentage change in average number of transactions per watt consumed by the data center

July 11, 2012 in Applications

KPI Owner:

KPI Reviewer:

Target is to Maximize business transaction per watt in operation
Best Practice is to Establish parameters with s/w development suppliers for efficient design and coding for apps and their data stores

Update Frequency: Yearly Functions:

Percentage of new apps requested that are met by existing apps

July 11, 2012 in Applications

KPI Owner:

KPI Reviewer:

Target is to Reduce the numbers of new applications developed
Best Practice is to
1. Meet business requirements by using existing solutions or modifying requirements to fit existing solutions
2. When available connections to PSN will enable access to applications stored elsewhere avoiding need to create new or host locally

Update Frequency: Yearly Functions:

Number of in house data sets and apps that are shared within the company

July 11, 2012 in Applications

KPI Owner:

KPI Reviewer:

Target is to maximize opportunities for sharing code
Best Practice is to
1. Utilize Industry standard compliant tool sets in a Technical architecture in line with IT strategies and architectures that provides tools and practices for developing efficient and shareable software code and sharing of data where appropriate
2. Adopt practices that would enable future substitution of in-house developed modules with more efficient modules from other sources/portfolios/apps stores

Update Frequency: Yearly Functions:

PUE = Total Facility Power / IT Equipment Power

July 11, 2012 in Data Center

KPI Owner:

KPI Reviewer:

Power usage effectiveness (PUE) is a measure of how efficiently a computer data center uses its power; specifically, how much of the power is actually used by the computing equipment (in contrast to cooling and other overhead).

PUE is the ratio of total amount of power used by a computer data center facility to the power delivered to computing equipment.

PUE was developed by a consortium called The Green Grid. PUE is the inverse of data center infrastructure efficiency (DCiE). An ideal PUE is 1.0. Anything that isn’t considered a computing device in a data center (i.e. lighting, cooling, etc.) falls into the category of facility power usage.

Update Frequency: Yearly Functions:

percentage of live applications and data sets

July 11, 2012 in Applications

KPI Owner:

KPI Reviewer:

Target is to maintain a high percentage of live applications as oppose to total number of applications available.
Best Practice is to
1.Maintain Applications Portfolio and libraries of data models/schemas
2.Only single copies of used apps and data sets are served on-line
3.All unwanted apps and data sets are archived and/or decommissioned
4. Virtualize all live applications with a view to moving them into the Cloud

Update Frequency: Quarterly Functions:

Percentage of UPS systems working in line direct mode

July 11, 2012 in Data Center

KPI Owner:

KPI Reviewer:

Target is to deploy UPS systems in the most efficient operating mode

Best Practices is All UPS systems should operate in the most efficient mode without dual conversion

Update Frequency: Six Monthly Functions:

Percentage efficiency of UPS systems

July 10, 2012 in Data Center

KPI Owner:

KPI Reviewer:

Best Practices is to buy and review UPS systems on the basis of their efficiency. 95% is a minimum.

Functions:

Number of passive standby server machines

July 10, 2012 in Data Center

KPI Owner:

KPI Reviewer:

Target is to
Reduce the number of standby server machines while retaining resilience measures.
Best Practice is to
Replace standby equipment with virtualised standby capacity where possible

Update Frequency: Yearly Functions: ,

Number of disaster recovery and continuity plans without sustainability factor

July 10, 2012 in Data Center

KPI Owner:

KPI Reviewer:

Target is to
Design Business Continuity and Disaster Recovery measures based on an objective impact analysis
Best practices are
DR resilience designs are based on the risk of failure and the business impact of that failure, and not over-engineered to make ICT management easier

Update Frequency: Six Monthly Functions: ,

Number of resilient systems without a matching analysis showing the business impact of their failure

July 4, 2012 in Data Center

KPI Owner:

KPI Reviewer:

Best Practice is to
1. Resilience is not considered with a “one size fits all” approach. Different levels of resilience are considered based on real business needs, planned for and implemented
2. Resilience is based on the risk of failure and the business impact of that failure, and not over-engineered to make ICT management easier

Update Frequency: Quarterly Functions: