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Justifying capacity management
by demonstrating the ROI
Metron
Showing value is critical for success
www.metron-athene.com
Metron-Athene
• Established 1986
• Stable ownership
• Consistent Focus on CM
• Industry Leadership
• Growing US team
Athene
Control Center
Capacity Database
Data Source
FrameworkAcquire DB/Application
Virtual Server Custom
z/OS, HP-UX, AIX, Solaris, Linux
Objectives
• ROI definition
• Systems infrastructure sprawl
• Indicators of unmanaged capacity
• Scope and direction
• Variables and information gathering
• ROI models and cost benefit analysis
Return on Investment
One definition of ROI...
"For a given use of money in an enterprise,
the ROI (return on investment) is how much
profit or cost saving is realized. An ROI
calculation is sometimes used along with
other approaches to develop a business
case for a given proposal.”
Capacity Management ROI
Infrastructure Sprawl
• How much of it is being
used efficiently?
• How do you define
efficient, and does it
apply uniformly?
• Which systems will run
out of capacity?
• What visibility is
required to make it run
efficiently?
Capacity Management ROI
Indicators of unmanaged capacity
• Capacity related incidents
• Reactive mode of operation for capacity incidents
• Lack of visibility into system resource utilization
• Poor performance that is the norm
• No ownership of capacity concerns
• Using excessive hardware to ensure capacity
Capacity Management ROI
Scope to deliver high value returns
Capacity Management ROI
More components to look at now
Firewall
Proxy
Virtual
Web
Servers
Directory
Server
Load
Balancer
App
Servers
DB
Server
Mainframe
Partner
App
Web
Services
Msg.
Broker
Firewall
Virtual
Web
Servers
App
Servers
Shared
Service
Shared
Database
Clients
SLAs
Clients
SLAs
Capacity Management ROI
What variables are key to determine ROI?
• Resource utilizations
• Growth in resource utilizations
• Count of hardware/software assets
• Cost of hardware/software assets
• Maintenance cost for hardware
• Capacity related incidents
• Average cost of incidents
• Risk of capacity related incidents
• Capacity related labor costs
Capacity Management ROI
Component ROI model and cost benefit analysis
Capacity Management ROI
ROI model and cost benefit analysis
Summary and Final Thoughts
Justification for doing capacity management many times will
involve showing a return on investment. Doing this can be
difficult with so many variables involved.
We outlined some key variables that should be included in the
analysis, and presented two spreadsheet models that utilizes
those variables.
• Doing capacity management is worth the effort, and
demonstrating that argument with numbers can help to
show it quantitatively.
Thank you for attending
Dale Feiste
Metron-Athene Inc.
dale@metron-athene.com
Justifying capacity management by
demonstrating the ROI
The End

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Justifying capacity management by demonstrating the return on investment

  • 1. Justifying capacity management by demonstrating the ROI Metron Showing value is critical for success
  • 2. www.metron-athene.com Metron-Athene • Established 1986 • Stable ownership • Consistent Focus on CM • Industry Leadership • Growing US team
  • 3. Athene Control Center Capacity Database Data Source FrameworkAcquire DB/Application Virtual Server Custom z/OS, HP-UX, AIX, Solaris, Linux
  • 4. Objectives • ROI definition • Systems infrastructure sprawl • Indicators of unmanaged capacity • Scope and direction • Variables and information gathering • ROI models and cost benefit analysis
  • 5. Return on Investment One definition of ROI... "For a given use of money in an enterprise, the ROI (return on investment) is how much profit or cost saving is realized. An ROI calculation is sometimes used along with other approaches to develop a business case for a given proposal.”
  • 6. Capacity Management ROI Infrastructure Sprawl • How much of it is being used efficiently? • How do you define efficient, and does it apply uniformly? • Which systems will run out of capacity? • What visibility is required to make it run efficiently?
  • 7. Capacity Management ROI Indicators of unmanaged capacity • Capacity related incidents • Reactive mode of operation for capacity incidents • Lack of visibility into system resource utilization • Poor performance that is the norm • No ownership of capacity concerns • Using excessive hardware to ensure capacity
  • 8. Capacity Management ROI Scope to deliver high value returns
  • 9. Capacity Management ROI More components to look at now Firewall Proxy Virtual Web Servers Directory Server Load Balancer App Servers DB Server Mainframe Partner App Web Services Msg. Broker Firewall Virtual Web Servers App Servers Shared Service Shared Database Clients SLAs Clients SLAs
  • 10. Capacity Management ROI What variables are key to determine ROI? • Resource utilizations • Growth in resource utilizations • Count of hardware/software assets • Cost of hardware/software assets • Maintenance cost for hardware • Capacity related incidents • Average cost of incidents • Risk of capacity related incidents • Capacity related labor costs
  • 11. Capacity Management ROI Component ROI model and cost benefit analysis
  • 12. Capacity Management ROI ROI model and cost benefit analysis
  • 13. Summary and Final Thoughts Justification for doing capacity management many times will involve showing a return on investment. Doing this can be difficult with so many variables involved. We outlined some key variables that should be included in the analysis, and presented two spreadsheet models that utilizes those variables. • Doing capacity management is worth the effort, and demonstrating that argument with numbers can help to show it quantitatively.
  • 14. Thank you for attending Dale Feiste Metron-Athene Inc. dale@metron-athene.com Justifying capacity management by demonstrating the ROI The End

Editor's Notes

  1. - A good first step to implementing effective capacity management for SAN attached storage is to ensure that you are managing the non-SAN specific aspects of storage first. A second important step is recognizing what limitations and gaps exist from the host perspective.
  2. Keep in mind the level at which disk space runs out (e.g. file systems, drives, volumes, etc…). Typically this is where monitoring is configured, but it can be proactive. Also remember that multiple I/O requests can be in flight at the same time just like other networking protocols, controlled by queue depth settings.
  3. Highlight storage for IT, unknown, and other unbillable storage. If customers have a blank check they will consume a lot more storage. Having many tools that all consume data can add up. Athene consolidates your data for capacity management. Make sure all allocated storage has an owner.
  4. Highlight storage for IT, unknown, and other unbillable storage. If customers have a blank check they will consume a lot more storage. Having many tools that all consume data can add up. Athene consolidates your data for capacity management. Make sure all allocated storage has an owner.
  5. Highlight storage for IT, unknown, and other unbillable storage. If customers have a blank check they will consume a lot more storage. Having many tools that all consume data can add up. Athene consolidates your data for capacity management. Make sure all allocated storage has an owner.
  6. All storage is not created equal. Opposing forces of growth and decreasing cost of storage. If costs stop decreasing, like CPU speeds stopped increasing, look out. Physical limits can be reached for storage density. Primary focus on billing is giving accountability first, rather than ensuring exact financial accounting of real costs. Yeah, it may not be all real, but it’s better than an open checkbook.
  7. Ideally you could do a business study, then create a business plan based on those results (i.e. cost/benefit analysis). Need a compelling story to generate interest.
  8. Proactive management with automated trending. Be aware that fighting fires is more glamorous and visible. It’s easy to get buried with data, filter out the noise with exceptions and filters (10% of 10GB vs. 10% of 1TB). All trend lines are not created equal.
  9. - Individual disks may go to completely different areas of backend storage. An impact in one area can be to traced back through to the root problem.