Data Centre Capacity Planning
“What matters most to the computer designers at Google is not speed but power – low-power, because data centres can consume as much electricity as a city” Eric Schmidt, CEO, GoogleCapacity planning of the data centre provides a critical role in the provision of stable, reliable ICT services to the business. Furthermore, research has demonstrated that 80% of annual IT costs are driven by amortised data centre capital costs, which highlights the strategic role capacity planning has in cost control.
Need
- Long lead times for data centre build-outs (typically 16 months for new builds) requires proactive planning
- Expanding capacity represents a significant capital cost that must be planned
- Capacity constraints in the data centre have the potential to impact numerous business-critical services
- Capacity constraints in the data centre have the potential to delay the deployment of new business services, thereby reducing business competitiveness
- Energy suppliers require capacity forecasts in order to ensure sufficient capacity is provisioned from the grid
- Power consumption per unit of ICT investment is growing, driving demand
- Rising energy costs
- Multiple capacity constraints must be accounted for (e.g. space, power and cooling capacity)
- Data centre demand from the organic growth of existing business services and introduction of new business services
- New technologies such as virtualisation and grid computing will radically alter the demand profile
- Technology lifecycles are typically of the order of 3 years, whilst data centre lifecycles are much longer
Our staff combine leading capacity planning methodologies with an understanding of how the end-to-end technical architecture (server technologies, virtualisation technologies, network technologies, etc) impacts data centre capacity. Our data centre capacity planning service includes the following components:
- Demand Forecasting
- ‘Demand funnelling’ techniques to evaluate future demand from new business services
- Statistical forecasting methodologies to assess long-term demand
- Demand split by production, test, pre-production, etc. environments
- Quantification of demand forecast error margin
- Evaluation of infrastructure power demands based on measurement and our previous experience
- Capacity Modelling
- A modelling approach that translates business demand into infrastructure requirements and associated costs
- Modelling of data centre design features such as spatial, power and cooling constraints
- Modelling of both incremental demand and reductions from decommissioning, consolidation, etc.
- Modelling of new and disruptive technologies
- The capability to deliver both business and technical scenario modelling
- Cost Modelling
- Ability to assess the cost impact of varying design selections and business demand scenarios
- Specification of both operational and capital costs
- Ability to manage risk in the context of volatile energy prices
- Understand the demand and supply elements that drive overall cost
Features & Benefits
Delivering Results:
- Mitigates the risk of data centre capacity constraints and the resultant impact to business services
- Promotes effective cost control of what is a major driver of the IT budget
- Reduces the risk of inappropriate spend on data centre capacity
Value-for-Money:
- Our team is based on a blend of consultant grades to provide a competitive offering
- Capability to offer fixed-priced engagements where required
Pragmatic Approach:
- Conduct a risk assessment to identify the supply and demand elements that are fundamental to the problem domain and thus should be the focus of planning
Example Customers
- Yell
- Migration Solutions
Next Steps
- Review the Resources section on this page
- To email for further information click here
- Call our offices on +44 (0) 20 7841 9950 to arrange a meeting
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