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THE OPEN DATA CENTER ALLIANCE:
ODCA UM OVERVIEW
Catherine Spence, Chair, Technical Coordination Committee, IT Principal Engineer, Intel
Ian Lamont, Chair, Security Workgroup, IT Security Specialist, BMW
Ryan Skipp, Co-Chair, Business Transformation Workgroup, Portfolio & Solution
Development, DTAG/T-Systems
AGENDA
• Open Data Center Alliance* (ODCA)
• Architectural Framework
• Usage Models
• Proposal Engine Assistant Tool (PEAT) Tool
• 2014 Topics
• Summary
2
Drive new levels of IT agility through
delivery of unified customer
requirements for cloud computing
enabling secure federation of cloud
services, automation of IT
infrastructure, common management
and policy for data center resources,
and transparency in cloud service
capability and metrics.
Create & Deliver
Unified Customer Requirements
Through Defining
Usage Models
Collaborate
With Standards Orgs and
Industry to Accelerate
Deployment and map applicable
standards
Commit
Roadmaps, Checklists and RFP
Questions to Guide
Internal IT Deployments
3
Alliance Leadership and Workgroup Structure
Infrastructure
Work Group
Manageability
and Services
Work Group
Regulation and
Ecosystem
Work Group
Security
Work Group
Data
Work Group
China Technical
Sub-Group
Steering Committee
Board of Directors
Intel:
Technical Advisor
Technical Coordination
Committee
External
Technical Forums
Standards
Organizations
Contributor
Members
Solution Provider
Members
Adopter
Members
Liaisons
Active WG
participation
4
Invited WG Participation on
UMs and projects
Review & input
roadmap &
collateral
Business
Transformation
Work Group
WORK GROUP LEADERSHIP
Work Group Chair
Infrastructure
Ed Simmons, UBS
Dave Casper, Moogsoft
Manageability &
Services
Iain Macrae, NAB
Prasanna Sridhar, Infosys
Security Ian Lamont, BMW
Data Services Shawn Ramsey, Disney
Regulation Pankaj Fichadia, NAB
Business
Transformation
Ryan Skipp, T-Systems
Pankaj Fichadia, NAB
TCC Catherine Spence, Intel IT
5
DRIVING CLOUD ADOPTION
Awareness
ODCA Defines
Requirements
Providers
Deliver
Solutions
Enterprises
Adopt
Solutions
ODCA Drives
Scale with
Results
Sharing
New/Enhanced
Requirements
Defined
Best Practices Fuel
Broad Deployments
Lead Enterprises
Invest in Required
Solutions
Providers Invest to
Meet Demands
6
ODCA Driving Positive Results
7
Delivering cloud and big data
services based on ODCA
requirements
Strategy and procurement
decisions anchored on ODCA
requirements.Building cloud based on
ODCA requirements
Leveraging ODCA as a
pragmatic guild for internal &
client cloud-implementations
UMs used for current
clouds & future planning
of new cloud services
Driving RFPs based on ODCA
requirements
Broad scale integration of UMs
into public, private and hybrid
cloud offerings
Leveraging ODCA for full scale
private cloud build out, big
data and networking strategy
Broad integration of ODCA
UMs to global cloud strategy
and procurements
AGENDA
• Open Data Center Alliance* (ODCA)
• Architectural Framework
• Usage Models
• Proposal Engine Assistant Tool (PEAT) Tool
• 2014 Topics
• Summary
8
ALLIANCE CLOUD MATURITY MODEL SUMMARY
Level Description Enterprise Cloud Maturity
CMM 0 None Legacy Applications on dedicated Infrastructure
CMM 1 Initial, ad-hoc
Analysis of Current Environments’ Cloud
Readiness
CMM 2
Repeatable,
opportunistic
Processes for Cloud Adoption Defined
CMM 3
Defined,
systematic
Tooling and Integration exists for Automated
Cloud Usage
CMM 4
Managed &
measurable
Cloud Aware Applications, deployed according to
Business requirements on Public, Private and
Hybrid platforms – Manual Federation
CMM 5 Optimized Federated, Interoperable, and Open Cloud
Use of cloud becomes more sophisticated, comprehensive and optimized 9
ENTERPRISE ADOPTION ROADMAP
Year 1 Year 2 Year 3 Year 4 Year 5
End User
App Dev
App
Owner
IT Ops
Federated,
Interoperable,
and Open
Cloud
Simple SaaS
Enterprise
Legacy Apps
Compute,
Storage, and
Network
Simple
Compute IaaS
Simple SaaS
Enterprise
Legacy Apps
Cloud Aware Apps
Complex
Compute IaaS
Simple Compute
IaaS
Compute,
Storage, and
Network
Complex SaaS Hybrid SaaS
Full Private
IaaS
Hybrid IaaS
Cloud Aware
Apps
Legacy Apps
Private PaaS Hybrid PaaS
Cloud Aware
Apps
Legacy Apps
Consumers
10
LegacyApplicationson
dedicatedInfrastructure
Start
CONCEPTUAL ARCHITECTURE HYBRID CLOUD
11
SERVICE TIERS
12
AGENDA
• Open Data Center Alliance* (ODCA)
• Architectural Framework
• Usage Models
• Proposal Engine Assistant Tool (PEAT) Tool
• 2014 Topics
• Summary
13
Finer Grain Usage Models
Master Usage Models
USAGE MODEL OVERVIEW
• Virtual Machine Interoperability
• Long Distance Migration
• IO Control
• Service Catalog
• Standard Units of Measure
• Provider Assurance
• Security Monitoring
• Regulatory Framework
• Security Data Framework
• Data Security
• Data Management
• Carbon Footprint
• SaaS Interoperability
• PaaS Interoperability
• Interoperability across Clouds
• Identity Management Interoperability
• Cloud Based Identity Provisioning
• Cloud Based Identity Governance and Auditing
• Single Sign on Authentication
• IaaS Privileged User Access
• SW Entitlement Management Framework
Usage Model
Contents:
• Exec
Summary
• Problem
Statement
• Use Cases
• RFP
Questions
• Industry
Action
Compute IaaS 1.0, Scale-out Storage 1.0,
Software-Defined Networking 1.0
Service Orchestration 1.0
Commercial Framework 1.0
Information as a Service1.0
Infrastructure as a Service
15
COMPUTE IAAS USAGE SCENARIOS
16
SCALE-OUT STORAGE
Appears “infinite” for capacity and performance
17
Defines on-demand storage
capacity at service-level
agreement performance
SOFTWARE DEFINED NETWORKING
Allows rapid server and bandwidth growth,
increasing geographic concentration, elasticity, and mobility 18
EXAMPLE IAAS REQUIREMENTS
• Service is open and is standards-based. Describe how the service meets this principle and
any limitations towards the ODCA principle.
• The service must support a wide range of x86-based operating systems, including Windows*
(server and desktop OS), Solaris* x64 and Linux* (leading distributions) in 32-bit and 64-bit
versions
• The service must support network isolation controls for inbound and outbound traffic
• The service must support the deployment of Web, Application, Database and Infrastructure
Service components, such as LDAP components
• The service must support alignment with Information Technology Infrastructure Library (ITIL)
processes for change, incident and configuration management
• The service provider must provide options for consumer network connectivity, such as
internet VPN, and leased lines. In addition, the service provider must articulate any other
network requirements, stipulations and constraints, such as NAT, IP address overlays, and
latency controls.
19
SERVICE ORCHESTRATION
Enable standardized automation that scales cloud services with
consumer demand
20
EXAMPLE SERVICE ORCHESTRATION
REQUIREMENTS
 Service lifecycle phases are fully documented and available online, with defined sub-steps,
actions, and success/failure conditions. The documentation must include the Automated
Service Provisioning Process, from beginning to end, and indicate any manual steps
involved.
 A downtime and maintenance schedule is available on-demand, indicating which functions
and service elements are maintained online and which require downtime.
 Describe your handling of potential availability issues such as significant cloud computing
outage, high network load, or insufficient bandwidth access.
 Committed service request completion times are provided for cloud service requests as
follows: (1) new VM provisioning, (2) add, move, or change and (3) service termination and
deletion.
21
INFORMATION AS A SERVICE
Getting the right information, in the right format at the right time 22
INFORMATION ARCHITECTURE
23
EXAMPLE INFORMATION AS A SERVICE
REQUIREMENTS
• Provide a common semantic view of the data regardless of the source or number of sources
from which the data originated
• Provide the ability for users of the system to define tags (text strings); to tag data, information,
reports, pages, and other constructs; and retrieve these elements through their association to
one or more tags
• Support mobile access to data and information contained within the Information as a Service
ecosystem, as well as expose management functionality through a mobile application or
mobile web access
• Provide search, reporting, business intelligence, and analytics capabilities for deriving meaning
from and presenting the underlying data and information stored within the Information as a
Service ecosystem
• Provides a web portal to which information, reports, analytics, and other result sets can be
published
24
COMMERCIAL FRAMEWORK
25
MASTER SERVICES AGREEMENT DRIVERS
26
AGENDA
• Open Data Center Alliance* (ODCA)
• Architectural Framework
• Usage Models
• Proposal Engine Assistant Tool (PEAT) Tool
• 2014 Topics
• Summary
27
PROPOSAL ENGINE ASSISTANT TOOL (PEAT)
Online tool to generate RFP
Requirements from the usage models
In three easy steps!
28
1 2 3
PEAT EMAIL
29
AGENDA
• Open Data Center Alliance* (ODCA)
• Architectural Framework
• Usage Models
• Proposal Engine Assistant Tool (PEAT) Tool
• 2014 Topics
• Summary
30
2014 TOPICS: TCC ROADMAP
Drive
Adoption
Speeding cloud adoption and influencing solution capabilities/consistency
Enrich UMs &
Content
Q1’14 Q2’14 Q3’14 Q4’14 Q1’15
June Nov
SUoM POC
IaaS Meta
framework MUM
Service Catalog
Scale out
Storage
Meta
Framework POC
VM Interop
POC
Common Compute
Unit POC
Procurement
/Auth
CMM
Forensics/ eDiscovery
Data Exchange
Cloud-Aware
Apps BP
Cloud
Adoption
Metadata
/Tagging
Purchasing
Guidelines
Cloud
Broker BP
Cloud Broker
Identity POC
Cloud
Strategy Transition
Transform
Provider
Assurance
Service Orch
POC
SDN
Risk
Cloud
Benefits BP
March 2014 Update
AGENDA
• Open Data Center Alliance* (ODCA)
• Architectural Framework
• Usage Models
• Proposal Engine Assistant Tool (PEAT) Tool
• Applying ODCA Principles
• Summary
32
SUMMARY
• Accelerating ODCA members and industry path to cloud computing
• Use usage models and PEAT tool now
• Learn about the ODCA work and join in
33
THANK YOU
34
Hundreds of Gl obal ITLeaders
STEERING COMMITTEE
CONTRIBUTING MEMBERS
SOLUTION PROVIDERS
ADOPTER MEMBERS
Intel Serves as Technical Advisor to the Alliance
HUNDREDS OF GLOBAL IT LEADERS
35
Industry Collaborations:
Critical to Alliance Mission
Aligning standards development with customer requirements and
speeding industry standards solutions to market
36

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ODCA Usage Model Overview and Outlook April 2014

  • 1. THE OPEN DATA CENTER ALLIANCE: ODCA UM OVERVIEW Catherine Spence, Chair, Technical Coordination Committee, IT Principal Engineer, Intel Ian Lamont, Chair, Security Workgroup, IT Security Specialist, BMW Ryan Skipp, Co-Chair, Business Transformation Workgroup, Portfolio & Solution Development, DTAG/T-Systems
  • 2. AGENDA • Open Data Center Alliance* (ODCA) • Architectural Framework • Usage Models • Proposal Engine Assistant Tool (PEAT) Tool • 2014 Topics • Summary 2
  • 3. Drive new levels of IT agility through delivery of unified customer requirements for cloud computing enabling secure federation of cloud services, automation of IT infrastructure, common management and policy for data center resources, and transparency in cloud service capability and metrics. Create & Deliver Unified Customer Requirements Through Defining Usage Models Collaborate With Standards Orgs and Industry to Accelerate Deployment and map applicable standards Commit Roadmaps, Checklists and RFP Questions to Guide Internal IT Deployments 3
  • 4. Alliance Leadership and Workgroup Structure Infrastructure Work Group Manageability and Services Work Group Regulation and Ecosystem Work Group Security Work Group Data Work Group China Technical Sub-Group Steering Committee Board of Directors Intel: Technical Advisor Technical Coordination Committee External Technical Forums Standards Organizations Contributor Members Solution Provider Members Adopter Members Liaisons Active WG participation 4 Invited WG Participation on UMs and projects Review & input roadmap & collateral Business Transformation Work Group
  • 5. WORK GROUP LEADERSHIP Work Group Chair Infrastructure Ed Simmons, UBS Dave Casper, Moogsoft Manageability & Services Iain Macrae, NAB Prasanna Sridhar, Infosys Security Ian Lamont, BMW Data Services Shawn Ramsey, Disney Regulation Pankaj Fichadia, NAB Business Transformation Ryan Skipp, T-Systems Pankaj Fichadia, NAB TCC Catherine Spence, Intel IT 5
  • 6. DRIVING CLOUD ADOPTION Awareness ODCA Defines Requirements Providers Deliver Solutions Enterprises Adopt Solutions ODCA Drives Scale with Results Sharing New/Enhanced Requirements Defined Best Practices Fuel Broad Deployments Lead Enterprises Invest in Required Solutions Providers Invest to Meet Demands 6
  • 7. ODCA Driving Positive Results 7 Delivering cloud and big data services based on ODCA requirements Strategy and procurement decisions anchored on ODCA requirements.Building cloud based on ODCA requirements Leveraging ODCA as a pragmatic guild for internal & client cloud-implementations UMs used for current clouds & future planning of new cloud services Driving RFPs based on ODCA requirements Broad scale integration of UMs into public, private and hybrid cloud offerings Leveraging ODCA for full scale private cloud build out, big data and networking strategy Broad integration of ODCA UMs to global cloud strategy and procurements
  • 8. AGENDA • Open Data Center Alliance* (ODCA) • Architectural Framework • Usage Models • Proposal Engine Assistant Tool (PEAT) Tool • 2014 Topics • Summary 8
  • 9. ALLIANCE CLOUD MATURITY MODEL SUMMARY Level Description Enterprise Cloud Maturity CMM 0 None Legacy Applications on dedicated Infrastructure CMM 1 Initial, ad-hoc Analysis of Current Environments’ Cloud Readiness CMM 2 Repeatable, opportunistic Processes for Cloud Adoption Defined CMM 3 Defined, systematic Tooling and Integration exists for Automated Cloud Usage CMM 4 Managed & measurable Cloud Aware Applications, deployed according to Business requirements on Public, Private and Hybrid platforms – Manual Federation CMM 5 Optimized Federated, Interoperable, and Open Cloud Use of cloud becomes more sophisticated, comprehensive and optimized 9
  • 10. ENTERPRISE ADOPTION ROADMAP Year 1 Year 2 Year 3 Year 4 Year 5 End User App Dev App Owner IT Ops Federated, Interoperable, and Open Cloud Simple SaaS Enterprise Legacy Apps Compute, Storage, and Network Simple Compute IaaS Simple SaaS Enterprise Legacy Apps Cloud Aware Apps Complex Compute IaaS Simple Compute IaaS Compute, Storage, and Network Complex SaaS Hybrid SaaS Full Private IaaS Hybrid IaaS Cloud Aware Apps Legacy Apps Private PaaS Hybrid PaaS Cloud Aware Apps Legacy Apps Consumers 10 LegacyApplicationson dedicatedInfrastructure Start
  • 13. AGENDA • Open Data Center Alliance* (ODCA) • Architectural Framework • Usage Models • Proposal Engine Assistant Tool (PEAT) Tool • 2014 Topics • Summary 13
  • 14. Finer Grain Usage Models Master Usage Models USAGE MODEL OVERVIEW • Virtual Machine Interoperability • Long Distance Migration • IO Control • Service Catalog • Standard Units of Measure • Provider Assurance • Security Monitoring • Regulatory Framework • Security Data Framework • Data Security • Data Management • Carbon Footprint • SaaS Interoperability • PaaS Interoperability • Interoperability across Clouds • Identity Management Interoperability • Cloud Based Identity Provisioning • Cloud Based Identity Governance and Auditing • Single Sign on Authentication • IaaS Privileged User Access • SW Entitlement Management Framework Usage Model Contents: • Exec Summary • Problem Statement • Use Cases • RFP Questions • Industry Action Compute IaaS 1.0, Scale-out Storage 1.0, Software-Defined Networking 1.0 Service Orchestration 1.0 Commercial Framework 1.0 Information as a Service1.0
  • 15. Infrastructure as a Service 15
  • 16. COMPUTE IAAS USAGE SCENARIOS 16
  • 17. SCALE-OUT STORAGE Appears “infinite” for capacity and performance 17 Defines on-demand storage capacity at service-level agreement performance
  • 18. SOFTWARE DEFINED NETWORKING Allows rapid server and bandwidth growth, increasing geographic concentration, elasticity, and mobility 18
  • 19. EXAMPLE IAAS REQUIREMENTS • Service is open and is standards-based. Describe how the service meets this principle and any limitations towards the ODCA principle. • The service must support a wide range of x86-based operating systems, including Windows* (server and desktop OS), Solaris* x64 and Linux* (leading distributions) in 32-bit and 64-bit versions • The service must support network isolation controls for inbound and outbound traffic • The service must support the deployment of Web, Application, Database and Infrastructure Service components, such as LDAP components • The service must support alignment with Information Technology Infrastructure Library (ITIL) processes for change, incident and configuration management • The service provider must provide options for consumer network connectivity, such as internet VPN, and leased lines. In addition, the service provider must articulate any other network requirements, stipulations and constraints, such as NAT, IP address overlays, and latency controls. 19
  • 20. SERVICE ORCHESTRATION Enable standardized automation that scales cloud services with consumer demand 20
  • 21. EXAMPLE SERVICE ORCHESTRATION REQUIREMENTS  Service lifecycle phases are fully documented and available online, with defined sub-steps, actions, and success/failure conditions. The documentation must include the Automated Service Provisioning Process, from beginning to end, and indicate any manual steps involved.  A downtime and maintenance schedule is available on-demand, indicating which functions and service elements are maintained online and which require downtime.  Describe your handling of potential availability issues such as significant cloud computing outage, high network load, or insufficient bandwidth access.  Committed service request completion times are provided for cloud service requests as follows: (1) new VM provisioning, (2) add, move, or change and (3) service termination and deletion. 21
  • 22. INFORMATION AS A SERVICE Getting the right information, in the right format at the right time 22
  • 24. EXAMPLE INFORMATION AS A SERVICE REQUIREMENTS • Provide a common semantic view of the data regardless of the source or number of sources from which the data originated • Provide the ability for users of the system to define tags (text strings); to tag data, information, reports, pages, and other constructs; and retrieve these elements through their association to one or more tags • Support mobile access to data and information contained within the Information as a Service ecosystem, as well as expose management functionality through a mobile application or mobile web access • Provide search, reporting, business intelligence, and analytics capabilities for deriving meaning from and presenting the underlying data and information stored within the Information as a Service ecosystem • Provides a web portal to which information, reports, analytics, and other result sets can be published 24
  • 27. AGENDA • Open Data Center Alliance* (ODCA) • Architectural Framework • Usage Models • Proposal Engine Assistant Tool (PEAT) Tool • 2014 Topics • Summary 27
  • 28. PROPOSAL ENGINE ASSISTANT TOOL (PEAT) Online tool to generate RFP Requirements from the usage models In three easy steps! 28 1 2 3
  • 30. AGENDA • Open Data Center Alliance* (ODCA) • Architectural Framework • Usage Models • Proposal Engine Assistant Tool (PEAT) Tool • 2014 Topics • Summary 30
  • 31. 2014 TOPICS: TCC ROADMAP Drive Adoption Speeding cloud adoption and influencing solution capabilities/consistency Enrich UMs & Content Q1’14 Q2’14 Q3’14 Q4’14 Q1’15 June Nov SUoM POC IaaS Meta framework MUM Service Catalog Scale out Storage Meta Framework POC VM Interop POC Common Compute Unit POC Procurement /Auth CMM Forensics/ eDiscovery Data Exchange Cloud-Aware Apps BP Cloud Adoption Metadata /Tagging Purchasing Guidelines Cloud Broker BP Cloud Broker Identity POC Cloud Strategy Transition Transform Provider Assurance Service Orch POC SDN Risk Cloud Benefits BP March 2014 Update
  • 32. AGENDA • Open Data Center Alliance* (ODCA) • Architectural Framework • Usage Models • Proposal Engine Assistant Tool (PEAT) Tool • Applying ODCA Principles • Summary 32
  • 33. SUMMARY • Accelerating ODCA members and industry path to cloud computing • Use usage models and PEAT tool now • Learn about the ODCA work and join in 33
  • 35. Hundreds of Gl obal ITLeaders STEERING COMMITTEE CONTRIBUTING MEMBERS SOLUTION PROVIDERS ADOPTER MEMBERS Intel Serves as Technical Advisor to the Alliance HUNDREDS OF GLOBAL IT LEADERS 35
  • 36. Industry Collaborations: Critical to Alliance Mission Aligning standards development with customer requirements and speeding industry standards solutions to market 36