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Journey to the Programmable Data
Center Modernizing our Data Centers – Strategy and
Approach
History, Perspective, Trends
...
Data Center Modernization Perspective

IT

CFO
Business
Real Estate

Image Sourced from Deepa Krishnan
The Hammer and the Nail
One size does not fit all:

Examples of Context:

Small Business

Business size

organization
need...
What Would You Predict?
“Computers in the future
may have only 1,000
vacuum tubes and perhaps
only weigh 1 1/2 tons.”
- Po...
Evolution of Computers

99.6% of our history
without Computers!
First mechanical
computer – difference
engine designed 183...
Evolution of Data Centers - What is
Modernization?

Is the utility compute infrastructure our future?
What is relevant to ...
Industrialized Data Centers and IT Infrastructure

Standardization
Modularity
Scalability
Geo-redundancy
Automation
Orches...
Enablers in Data Center Modernization
Driving DC Modernization

Two Major Trends

1) Advances in Physical Technology
a) Sh...
Historically, Two Approaches to Abstraction from the IT
Infrastructure Layer
Driving freedom from hardware dependencies an...
Programmable or Software Defined Data Center…
Simply Defined

Variety of Workloads

• Complete Abstraction of
Physical Ass...
This is not just about Cloud

• Essential Characteristics
• On-demand self service
• Broad network access
• Resource Pooli...
What Would You Predict?
“I think there is a world market for maybe five computers.”

- IBM Chairman Thomas
Watson, 1943
The Pace of Change
Abstraction Continues to Enable IT Virtualization

Business Process

Applications

Virtual Infrastructure Layer

GRID Midd...
Quick Review of Recent History

Mainframe

Client Server

Consolidation

• Monolithic
• Virtualized
• Single Pane of Glass...
What is different today?

Programmable Data Centers
Defined by Software

Evolution of top down Abstraction - OS Overlay
co...
Evolve architectures to simplified, modular, highly scalable designs
Appliances that simplify & consolidate hardware stack...
Evolve architectures to simplified, modular, highly scalable designs
Modular building blocks replace traditional hub & spo...
Evolve architectures to simplified, modular, highly scalable designs
Software Defined Data Center Solutions: Data Center H...
Elements of Today’s DC Modernization Options

Cloud Deployment
Models

DevOps
Managed Demand

IT Maturity in People
and Pr...
What Would You Predict?
“640K ought to be enough for anybody.”
Microsoft Chairman Bill Gates,1981
The Journey for Each of Us is Different
Multi-Year Strategic Planning to Include
SDDC
Last Inf. Refresh

SDDC Pilots

% SDDC Deployed

• Integrate DC Modernizatio...
Balancing Tactical Efforts with Strategic
Transformation
Pure Tactical
Technology & Process Improvement
Focus on:
“Doing t...
Example Planning Framework for Supporting Transform to SDDC
Journey to Data Center Modernization

Best Practices
Planning ...
Summary of Approach to Modernize Data
Centers
Embrace Multiyear strategic
planning for I&O

Big Picture on
the Puzzle may
...
Parting Thoughts

• IT infrastructure may become like a utility, but it is a long way off.
Infrastructure and Operations s...
THANK YOU
Toby Weiss
tweiss@vipconsulting.com
(503) 926-4710
Consulting | Technology | Outsourcing

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Journey to the Programmable Data Center

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Journey to the Programmable Data Center

  1. 1. Journey to the Programmable Data Center Modernizing our Data Centers – Strategy and Approach History, Perspective, Trends Toby Weiss, Sr. Director, National Infrastructure Practice, Visionary Integration Professionals Consulting | Technology | Outsourcing 1
  2. 2. Data Center Modernization Perspective IT CFO Business Real Estate Image Sourced from Deepa Krishnan
  3. 3. The Hammer and the Nail One size does not fit all: Examples of Context: Small Business Business size organization needs application workloads Culture, leadership, politics Macro and industry economic trends Growth versus maintenance IT budgets Technology drivers like virtualization & converged infrastructure Rates of adoption ROI for our unique business needs • Optimizing the workload already in house; • Building departments of expertise (that eventually lead to silos) • Partnerships: likely focused on a single vendors solution • Leveraging Cloud for Applications and Infrastructure Med Enterprise • Mastering centers of expertise into departments (silos) • Evolving from older platforms that started our business to more robust and scalable IT • Beginning to manage technical debt • More reliance on multi-vendor environments Larger enterprise • Breaking through the silos for lean efficiencies • Technology standardization • and adoption of converged infrastructure/cloud computing
  4. 4. What Would You Predict? “Computers in the future may have only 1,000 vacuum tubes and perhaps only weigh 1 1/2 tons.” - Popular Mechanics, 1949 The nearly 18,000 vacuum tubes and 6,000 switches of the ENIAC, the first electronic computer. Image Sourced from ExplorePAhistory.com
  5. 5. Evolution of Computers 99.6% of our history without Computers! First mechanical computer – difference engine designed 1837. Today we each have a “smartphone”. Image Sourced from Computer History Museum
  6. 6. Evolution of Data Centers - What is Modernization? Is the utility compute infrastructure our future? What is relevant to enterprise IT?
  7. 7. Industrialized Data Centers and IT Infrastructure Standardization Modularity Scalability Geo-redundancy Automation Orchestration
  8. 8. Enablers in Data Center Modernization Driving DC Modernization Two Major Trends 1) Advances in Physical Technology a) Shrinking Hardware  Drive Lower Costs  With More Power b) Virtualized functions  Converged Infrastructure  Appliances 2) Increasing Abstraction from Hardware c) Virtualization of Hardware  Evolved de-facto & industry standards  hypervisor interoperability  workload variety d) OS Overlay Concept  GRID  GoogleFS/Facebook  Hadoop  NextGen? 8
  9. 9. Historically, Two Approaches to Abstraction from the IT Infrastructure Layer Driving freedom from hardware dependencies and pooling resources for greater utilization. Top Down Large Workload Bottoms Up Small Workloads Workload (application) VM VM … Compute (server) Asset Base Geographically dispersed physical compute assets. • Federation for aggregated capacity • Loosely Coupled with middleware libraries • Type of Parallel computing with common networks as the “backplane” • Focused on specific large data set and processing intensive workloads (scientific traditionally). Relatively centralized compute assets. • Un-federated physical capacity to divide and share • More tightly coupled due to domain of server, rack, and data center 9 • Higher speed server and data center network as the “backplane” • Can support a wider variety of workloads.
  10. 10. Programmable or Software Defined Data Center… Simply Defined Variety of Workloads • Complete Abstraction of Physical Assets • Hypervisors (software) Control All Assets, not just servers • Top Down and Bottoms up abstraction of assets • Lowers I&O costs and increases agility VM VM … Compute Assets
  11. 11. This is not just about Cloud • Essential Characteristics • On-demand self service • Broad network access • Resource Pooling • Rapid Elasticity • Measured Service • Service Models • SaaS, PaaS, IaaS • Deployment Models • Private, Community, Public, Hybrid Characteristics of DC Modernization • Enables and Leverages Cloud Computing • Abstracts workloads from infrastructure • Enables programmability of Virtualized Infrastructure • Modular, Scalable, Geo-dispersed • Embraces de-facto and industry standards • Leverages new operational process, new organizations, new roles, new skills Characteristics of DC modernization Characteristics of Cloud NIST Definition of Cloud
  12. 12. What Would You Predict? “I think there is a world market for maybe five computers.” - IBM Chairman Thomas Watson, 1943
  13. 13. The Pace of Change
  14. 14. Abstraction Continues to Enable IT Virtualization Business Process Applications Virtual Infrastructure Layer GRID Middleware – OS Overlay Control Software Layer Physical Infrastructure & OS Server Machines Storage Systems Networking/ Security Functions
  15. 15. Quick Review of Recent History Mainframe Client Server Consolidation • Monolithic • Virtualized • Single Pane of Glass • Sized for Peaks • Centralized Control • Lower Costs* • Spurs Sprawl • Processing power distributes • Control moves to the LOBs • Enables Growth via LOB Agility • Creates Isolated Islands of Storage • Management of decentralized computers • Virtualization drives consolidation • Enables Virtual Sprawl • Management Opportunity grows • SANs simplify storage via snapshots, dedup, etc. • Modular approach evolves with DC Containers / PODS • Data centers becoming more complex Automation & Converged Inf. • 1st generation solutions to simplify the controlled sprawl – HP Utility Data Center and Egenera • Automation and management tools mature • Hypervisors concentrate servers, SANs become bottlenecks Increasing Abstraction between the Human and Machine Cloud • Converged Infrastructure at foundation but still expensive entry point. • Automation evolves to Orchestration • Notion of IT-as-aService • Early in the hype • Next Generation of Converged infrastructure and Software Defined Data Centers Evolves
  16. 16. What is different today? Programmable Data Centers Defined by Software Evolution of top down Abstraction - OS Overlay concept: GRID, Hadoop, GoogleFS, etc. Application Abstraction The Last Mile: increased flexibility to deploy networks virtually via NFV and SDN. Control Plane & Data Plane concept evolve. Software Defined Networks Lessons learned with control of hardware. DevOps, people, skills, IT organizing differently. Server virtualization matures. Facebook and others show us Vanity Free Servers Opencompute.org evolves. Hypervisor Interoperability. Evolution of Converged Infrastructure Standardized Infrastructure
  17. 17. Evolve architectures to simplified, modular, highly scalable designs Appliances that simplify & consolidate hardware stacks Typical Storage Stack Deployment Replaced with a local controller and Cloud Storage Service Local Storage Controller Images Sourced from Nasuni
  18. 18. Evolve architectures to simplified, modular, highly scalable designs Modular building blocks replace traditional hub & spoke designs (the Google and Facebook file system concepts) Layer of Abstraction Decouples Storage Images Sourced from Nutanix
  19. 19. Evolve architectures to simplified, modular, highly scalable designs Software Defined Data Center Solutions: Data Center Hypervisors Business Process Applications Software Defined Data Center Layer (Virtual Infrastructure or Data Center) Vendors’ Product: Management, Automation, Orchestration of Physical Assets Management Management Management SAN Standard Servers NAS/DAS Standard Storage Systems IDS/IPS Standard Network Components 19
  20. 20. Elements of Today’s DC Modernization Options Cloud Deployment Models DevOps Managed Demand IT Maturity in People and Process Abstraction from infrastructure landscape Increased virtualization of servers, storage, and networking Standardization of Infrastructure Hardware Shared Resource Pools of servers, storage, networks Converged Infrastructure Point Solutions Cloud-first or “Greenfield” strategies Automated Deployment for legacy landscapes Software Defined Data Center Solutions IT-as-a-Service Consume it, don’t build it yourself
  21. 21. What Would You Predict? “640K ought to be enough for anybody.” Microsoft Chairman Bill Gates,1981
  22. 22. The Journey for Each of Us is Different
  23. 23. Multi-Year Strategic Planning to Include SDDC Last Inf. Refresh SDDC Pilots % SDDC Deployed • Integrate DC Modernization Strategies with Application Portfolio Planning • Understand the pace of change for your company and look for entry points to next generation programmable DC solutions • Drive out tactical efforts incrementally to lead to a transformation for the larger multiyear picture • Leverage an IT maturity model from your favorite vendor.
  24. 24. Balancing Tactical Efforts with Strategic Transformation Pure Tactical Technology & Process Improvement Focus on: “Doing things incrementally better and with less cost” Finding the right balance Pure Strategic Transformational Changes Focus on: “Doing things differently in a big way”
  25. 25. Example Planning Framework for Supporting Transform to SDDC Journey to Data Center Modernization Best Practices Planning Layers Business Strategy Interim Mode Operations (IMO) Current Operations (CMO) (Applications, Architecture, And infrastructure.) Process Integration Organization & People Management of Change Define Services, Contracts and SLAs Discovery: Current Technology & Workloads Management & Orchestration tools Business and IT process discovery ITaaS Org Design Skill Assessments Readiness Assessment POC Design Ongoing Governance Implement Governance Mechanisms Governance Plan Business Case Technology Strategy Business strategy Future SDDC Operations (FMO) Publish Service Catalog POC Buildout Full Buildout Migrate Application Workload Ongoing Refresh and Maintenance Implement Service Catalog Portal Define new ITaaS process and integration points to existing processes Adopt/modify Operations Guide Test Operations Guide Updates to Operations Guide IMO Team leads Workload Migration IMO resource training IMO resource transition MOC Roadmap Communications Planning FMO resource transition Steady State Operations – adds, changes, decommissions, capacity expansions, etc. Key Announcements and Communications Line of Business and General IT Education/Training Plan Outsourcing Transition Transition to External Service Provider/Operator
  26. 26. Summary of Approach to Modernize Data Centers Embrace Multiyear strategic planning for I&O Big Picture on the Puzzle may be a common Vision Balance Incremental with Transformational Change Align Pace of Change across layers in your strategic planning
  27. 27. Parting Thoughts • IT infrastructure may become like a utility, but it is a long way off. Infrastructure and Operations still relevant today! • Embrace both on and off premise solutions. DC modernization is also about leveraging someone else's modernized data center. • Explore emerging technologies leveraging the ingenuity of the Web 2.0 companies. They may not be right for all of us today, but when will it be right? Can you predict? • DC modernization should support your enterprise cloud strategy.
  28. 28. THANK YOU Toby Weiss tweiss@vipconsulting.com (503) 926-4710 Consulting | Technology | Outsourcing 28

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