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The Right Data Center for the Job: The
Stratification of Data Center
Responsibilities
Chris Crosby, CEO, Compass Datacenters
About Us
2
• Compass Datacenters provides dedicated data centers
• Built using our patented architecture
• Uptime Institute Tier III certified design and constructed
• LEED certified
• Wherever you want it
• Controlled by you
• Ownership or lease
• Operations and security
• Expansion
• Simplify Capacity Planning
• Growth in 1.2MW Increments
• The building is the standard unit “Everything you want in your next data center. It’s in here”
Accelerated Evolution
• Rapid period of change
• Old rules no longer apply
• Structure
• Roles
• Decision making
• Data center role shift
• All-in-one versus matching need
• Avoid load group mistmatch
• Scale matters
3
Driving the Change
• Convergence of data types
• Large rich packets (video)
• Billions of small packets (IOT)
• Value of data
• Inverse relationship with latency
• End user requirements/expectations
• Data must be as close to end user as possible – generational shift
4
Not Ready for Primetime, Part 1
• The mega data center can’t do it all
• Geography
• Can’t get close enough to the customer
• Latency becomes a serious issue
• Applications processing capability
• We used to call billions of tiny packets DOS
• Now it’s business as usual
• “Intelligence” isn’t distributed
• Network
• Fat pipes are no longer enough
• Latency matters
• Hetero v. Homogeneous
• The big guys build for single apps
• Too expensive/inefficient for most enterprises
5
Not Ready for Primetime, Part 2
• Existing “network” structures
• Single data center
• 2-level (maybe)
• Centralized with DR with usually some synchronous requirements
• Centralized w/big pipe to regional
• Regulatory environments pushing for more
• Not optimized for “next generation”
requirements
• Difficult to hold “localized” content
• Design didn’t anticipate volume
• Ability to process volume in real time
• Even if it isn’t your app set, it will affect the
public network
6
The Stratified Structure
7
• Hierarchical structure
• 3 levels
• Data center(s) at each level have specific function
• Based on division of labor
• Improve processing capability
• Distributed throughout the structure
• Better support for converged architecture
• Mission critical at all levels
• Why?
• $10M - $20M investment in just a few
racks of gear
• Even the “cloud” has 10-20 racks that run
all the commodity infrastructure
Cost of Redundancy versus Software
• Mission critical at the edge
• Cost to put into the software versus the cost to put it
into the hardware
• Just like in your car, what you can afford today is
different than 5 years ago
8
Cost
Time
Data Center
Software
Roles
• Centralized hubs
• Primary applications processing/storage points
• Applications are “non-divisible”
• Edge data centers
• Regional centers
• Support one or more micro DC’s
• Perform regional processing/cache function
• Ex: Determine what goes upstream
• Micro data centers
• Initial interaction point
• Repositories for high demand content
• Located to provide lowest level of latency
9
The Stratified Structure
• Requirements
• Flexibility
• Must be able to adapt to shifts in demand
• Dynamic
• 80/20 rule
• Security
• At all levels
• Ability to identify attacks
• Dynamic re-routing of traffic
• Mission critical at all levels
• Maximize uptime
• Protect high cost equipment
• Converged equipment = more expensive
• Tier III/IV (hub)
• If size dictates, commodity compute storage at
hub
• Tier III (edge, micro)
• Geography
• Data centers located where they are needed
• Especially at edge, micro levels
• Location decisions driven by customer locations
10
Commodity Level
Converged Level
Not a return to the IT closet, true data centers at the edge
Planning for Stratified
• From tactical to strategic
• More than we need a new data center in Cleveland
• Need to think in 5-10 year periods
• Not 12-24 months
• Impact from outside, NOT just inside
• Security
• Network
• Considerations
• Applications
• End users
• Locations
• Requirements
• Expectations
• Network
• Technical and financial
• Management and control
11
Summary
• Nature of data forcing the change
• Majority of existing data centers/networks not ready
• Stratified networks will become more prevalent
• 2 major considerations:
• Keep data closer to users
• Lowest possible latency—generational shift in workers
• Data center roles will become more specific
• Based on hierarchical location
• Planning will have to change
• Tactical to strategic
12
13

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The Stratification of Data Center Responsibilities

  • 1. The Right Data Center for the Job: The Stratification of Data Center Responsibilities Chris Crosby, CEO, Compass Datacenters
  • 2. About Us 2 • Compass Datacenters provides dedicated data centers • Built using our patented architecture • Uptime Institute Tier III certified design and constructed • LEED certified • Wherever you want it • Controlled by you • Ownership or lease • Operations and security • Expansion • Simplify Capacity Planning • Growth in 1.2MW Increments • The building is the standard unit “Everything you want in your next data center. It’s in here”
  • 3. Accelerated Evolution • Rapid period of change • Old rules no longer apply • Structure • Roles • Decision making • Data center role shift • All-in-one versus matching need • Avoid load group mistmatch • Scale matters 3
  • 4. Driving the Change • Convergence of data types • Large rich packets (video) • Billions of small packets (IOT) • Value of data • Inverse relationship with latency • End user requirements/expectations • Data must be as close to end user as possible – generational shift 4
  • 5. Not Ready for Primetime, Part 1 • The mega data center can’t do it all • Geography • Can’t get close enough to the customer • Latency becomes a serious issue • Applications processing capability • We used to call billions of tiny packets DOS • Now it’s business as usual • “Intelligence” isn’t distributed • Network • Fat pipes are no longer enough • Latency matters • Hetero v. Homogeneous • The big guys build for single apps • Too expensive/inefficient for most enterprises 5
  • 6. Not Ready for Primetime, Part 2 • Existing “network” structures • Single data center • 2-level (maybe) • Centralized with DR with usually some synchronous requirements • Centralized w/big pipe to regional • Regulatory environments pushing for more • Not optimized for “next generation” requirements • Difficult to hold “localized” content • Design didn’t anticipate volume • Ability to process volume in real time • Even if it isn’t your app set, it will affect the public network 6
  • 7. The Stratified Structure 7 • Hierarchical structure • 3 levels • Data center(s) at each level have specific function • Based on division of labor • Improve processing capability • Distributed throughout the structure • Better support for converged architecture • Mission critical at all levels • Why? • $10M - $20M investment in just a few racks of gear • Even the “cloud” has 10-20 racks that run all the commodity infrastructure
  • 8. Cost of Redundancy versus Software • Mission critical at the edge • Cost to put into the software versus the cost to put it into the hardware • Just like in your car, what you can afford today is different than 5 years ago 8 Cost Time Data Center Software
  • 9. Roles • Centralized hubs • Primary applications processing/storage points • Applications are “non-divisible” • Edge data centers • Regional centers • Support one or more micro DC’s • Perform regional processing/cache function • Ex: Determine what goes upstream • Micro data centers • Initial interaction point • Repositories for high demand content • Located to provide lowest level of latency 9
  • 10. The Stratified Structure • Requirements • Flexibility • Must be able to adapt to shifts in demand • Dynamic • 80/20 rule • Security • At all levels • Ability to identify attacks • Dynamic re-routing of traffic • Mission critical at all levels • Maximize uptime • Protect high cost equipment • Converged equipment = more expensive • Tier III/IV (hub) • If size dictates, commodity compute storage at hub • Tier III (edge, micro) • Geography • Data centers located where they are needed • Especially at edge, micro levels • Location decisions driven by customer locations 10 Commodity Level Converged Level Not a return to the IT closet, true data centers at the edge
  • 11. Planning for Stratified • From tactical to strategic • More than we need a new data center in Cleveland • Need to think in 5-10 year periods • Not 12-24 months • Impact from outside, NOT just inside • Security • Network • Considerations • Applications • End users • Locations • Requirements • Expectations • Network • Technical and financial • Management and control 11
  • 12. Summary • Nature of data forcing the change • Majority of existing data centers/networks not ready • Stratified networks will become more prevalent • 2 major considerations: • Keep data closer to users • Lowest possible latency—generational shift in workers • Data center roles will become more specific • Based on hierarchical location • Planning will have to change • Tactical to strategic 12
  • 13. 13