Future Proofing Your Server And Systems Infrastructure

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Future Proofing Your Future Proofing Your Server and Systems Server and Systems Infrastructure Infrastructure …or, how can I just make my current datacenter last longer?
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    01-Dec-2014
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Presentation by Dave Payne covering some best practices for getting the most out of a datacenter by leveraging virtualization technologies.http://davepayne.com

Transcript of Future Proofing Your Server And Systems Infrastructure

  • 1. Future Proofing Your Server and Systems Infrastructure or, how can I just make my current datacenter last longer?

2. Future Proofing Your Server andSystems Infrastructure or, how can I just make my current datacenter last longer?

  • Presented by Dave Payne
  • [email_address]
  • www.davepayne.com

3. Abstract

  • This session provides best practices on reducing server costs by deploying new energy efficient hardware, consolidating, virtualizing and provisioning your new data center.

4. Abstract

  • Planning for datacenter 2.0, capacity planning and impact analysis
  • Scale up, scale out or both? What server setup will work best for you?
  • What's the impact of ultra dense computing on my datacenter facilities?
  • What about storage? How can I ultra-densify my storage along with my servers?
  • What impact does the ubiquitously looming cloud have on my datacenter plans?

5. What I Assume You(The Audience) Knows

  • Youre neck deep in IT management, administration or data center operations of some sort.
  • You understand what makes up a data center.
  • Servers, storage and racks dont conjure up images of a busy restaurant.
  • You get virtualization.

6.

  • How can I turn this albatross around my neck into a white dove?

Economy is tanking Cuts costs at all expense! I need my apps running now more than ever More power More storage More servers Too hot in here $ $ $ $ 7. By The End Of The Session, Youll Know The Following:

  • A pragmatic approach to cutting data center costs today
  • Options for selecting your next server platform
  • Advances in storage solutions that will benefit you
  • Some advice on when to consider floating to the cloud

8. Optimize Data Centers With Virtualization

  • Start with an application down approach

9. Envision the Model

  • x86 Virtualization is becoming ubiquitous
    • Its green and green (if implemented right)
    • What is the right model to use today?
  • Storage is the step-child of virtualization
    • Can it be tamed?
    • What is the best way to consider storage approaches?
  • Sometimes it makes sense to punt
    • This is when we look to the cloud
    • Consider when the cloud vs. in house hosting makes sense

10. Scale Up vs. Scale Out

  • (Disclaimer:I am agnostic here.I dont need religious warfare)

Advantages Disadvantages Scale Up

  • Automatic inbox resource management
  • Fewer ESX Server images to manage
  • VMotion not strictly required
  • Lower software costs (VMware)
  • Lower infrastructure costs (Ethernet/SAN switches)
  • Fewer cables and connections
  • Higher hardware costs (servers)
  • High Availability impact in case of failure of a node
  • Against the norm

Scale Out

  • Lower hardware costs (servers)
  • Low high availability impact in case of failure of a node
  • More CPUs supported "per rack
  • Business as usual
  • Manual across-boxes resource management
  • VMotion mandatory for reasonable management
  • Many hypervisor (ESX) images to maintain
  • Higher software costs (VMware)
  • Higher infrastructure costs (Ethernet/SAN switches)

11. How About Scale Up & Out?SCOUPT

  • 42U Rack with BL680G5
    • Configuration:
      • 4 BladeCenter (10U each = 40U), 8 BL680 per BC
      • 4x6 2.4GHz CPU per BL680, 128 GB RAM
    • Capacity:
      • 1,843 GHz CPU (128 CPU Sockets, 768 CPU Cores)
      • 4 TB RAM
    • 32 instances of hypervisor
    • $1,500,000

12. How about Scale Up & Out?SCOUPT

  • 42U Rack with IBM x3950
    • Configuration:
      • 10 Nodes (4U each = 40U), 2 Nodes per server
      • 4x6 2.66Ghz CPU per Node, 128 GB RAM
    • Capacity:
      • 638 GHz CPU (40 CPU Sockets, 240 CPU Cores)
      • 1.2 TB RAM
    • 5 instances of hypervisor
    • $?(estimating $800-$1M (CPU $120K, RAM $320K, Chassis $200K, other)

13. Data Center Impact FromUltra-dense Servers

  • Typical data center cost
    • $500-1000/sqaure foot
    • 1.5 KW/rack
  • Ultra-dense data center cost
    • $2000-3000/square foot
    • 3 KW/rack
    • Same square feet, more power, more cooling
  • Current data center may not support full density
  • Study your footprint and disperse load
  • Cost avoidance still possible without build out

14. What About Storage?

  • Server consolidation requires centralized storage
  • SAN is up to 10x cost of DAS
  • Early on SAN requirement excluded SMB
  • New SAN enhancements are friendlier
    • IP Storage
    • Thin Provisioning
    • Deduplication

15. Thin is the New Black

  • Look at thin provisioning to:
    • Size for the future but allocate for the present
    • Just in time model
  • Cost avoidance
    • Delays purchases of disk
    • Reduce facilities hit
  • Not a panacea disk will eventually be consumed

Traditional Storage Thin Provisioned Storage 16. VI: An Opportunity for Deduplication

  • Each VM stores the same data repeatedly:
    • OS software, patches, software drivers, application data

VI3 Server Data Store A . VMDK .VMDK . VMDK . VMDK Traditional Enterprise RAID Arrays RAID Layer . VMDK .VMDK .VMDK . VMDK 20TB 20TB 17. Shrink VI Storage Footprint Deduplicated Array Duplicate DataIs Eliminated VI Server Data Store A .VMDK .VMDK .VMDK .VMDK

  • Deduplication removes the redundant blocks
    • All copies still appear intact to the VI server

. VMDK 20TB 5TB 18. Where to look for dedupe opportunities

  • Network Based
    • WAN
      • Riverbed Steelhead
    • Inline Storage Area Network
      • Riverbed Atlas
  • Array based
    • Ex. NetApp De-duplication
  • Virtual Infrastructure based
    • Ex. VMware clone disks
  • Client OS based
    • Ex. FastScale

19. Get Your Head in the Cloud

  • Cloud computing
    • Universally available elastic resource of compute power
  • Real cloud players (among many)
    • GoGrid
    • Amazon EC2/S3
    • Google App Engine
    • Salesforce.com
    • Rackspace Mosso
  • Can we trust the faceless cloud?

20. When To Go Up..

  • External customer facing apps
  • Seasonal spikes
  • Disaster failover
  • Turnkey standalone apps (like CRM)

21. When To Stay Grounded

  • Plenty of issues to consider with clouds
  • Dynamic movement is a ways off
  • Reliability of the provider
  • Cloud performance
  • Lack of standards -- server/storage
  • Federated authentication

22. For More Information

  • Uptime Institute
    • Cost Model: Dollars per kW plus Dollars per Square Foot of Computer Floor
  • Xcedex.com/XF Xcedex X_Factor Planning Suite
  • vmware.com/VMUG Local VMware User Group
  • IBM x3950
    • http://www-03.ibm.com/systems/x/hardware/enterprise/x3950m2/specs.html
  • HP BL680G5
    • http://h18004.www1.hp.com/products/quickspecs/12773_na/12773_na.html
  • .

23. Questions?