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Create a Key Metrics-based Actionable Roadmap to
Deliver IT as a Service
Enrico Boverino, VMware
Rodolfo Rotondo, VMware
OPT5314
#OPT5314
3
Agenda
 The era of IT Transformation to innovate the business
 VMware Advisory Services analysis framework
 Examples of maturity by industry
 Analysis and Actionable Roadmap
 Summary
4
The era of IT Transformation to
innovate the business
5
One Direction: IT as a Service for Business Value
IT as a Service is a new delivery model for infrastructure &
middleware services based on end-user self-service capabilities
and a pay-as-you-go costing model.
6
IT as a Service Transformation
 Establishing key measurements to
understand:
• Where am I compared to my competition?
• Where am I headed and how is my progress?
• What initiative should I work on first?
• What’s the value to the business and users?
 Define a Transformation roadmap
leveraging the latest technologies
 Support management decisions on
investments and IT Strategy
Source : Gartner
Source : Web – disneyclips.com
7
VMware Advisory Services analysis
framework
8
High impact of our model on key benefits
Efficiency
Dramatically Lower Costs
to redirect investment into
value-add opportunities
Agility
Enable Flexible, Agile, IT
Service Delivery to meet
the needs of the business
Reliability
Reduce the Complexity
to simplify operations
and maintenance
9
KPIs breakdown and focus areas
% Self-Service/Service Catalog Requests
% Workloads offloaded to Hybrid Cloud
Applications Provisioning & Configuration
Automated Infrastructure Provisioning
AGILITY - TIME
% Workload with Scaling & Predictive Capacity
% of Tier 1 Applications Virtualized
% of Network Virtualized
% of Storage Virtualized
% of Total Servers Virtualized
EFFICIENCY - COSTS
% Automation in Chargeback/Showback process
Proactivity in Analytics & Policy Management
% Embedded Security & Access Configuration
% Workload in High Trust Computing (HA, DR)
RELIABILITY - SLA
• Revenue by LoB
• Time to Market
• Market Share
• # Items Manufactured
• # Incident Reduction
• # Claims Processed
• SLA Violation
• Security breaches
• Customer Satisfaction
• Costs per User
• Costs of Computing
• Hardware Capex
• Costs of Rework
AUTOMATIONOPERATIONSVIRTUALIZATION
To Business BenefitsFrom IT
10
0% 20% 40% 60% 80% 100%
% of Total Servers Virtualized
% of Storage Virtualized
% of Network Virtualized
% of Tier 1 Applications Virtualized
% Workload in High Trust Computing (HA, DR)
% Workload with Scaling & Predictive Capacity
% Embedded Security & Access Configurations
Proactivity in Analytics & Policy Management
% Automation in Chargeback/Showback process
Automated Infrastructure Provisioning
Application Provisioning & Configuration
% Workload offloaded to Hybrid Cloud
% Self Service/Standard Catalog Requests
TO BE AS IS
Personalized SDDC Dashboard – TO BE desired state
EfficiencyQualityAgility
VIRTUALIZATION–OPERATIONS-AUTOMATION
11
Detailed SDDC Dashboard Virtualization description
SDDC Measurable Areas Description
% Workload with Scaling & Predictive Capacity
This metric measures the percentage of workload
governed by automated scalability and capacity planning
% of Tier 1 Applications Virtualized
This metric measures the degree of virtualization in place
for Tier 1 production applications across the App stack
(web, app server, DB, OS)
% of Network Virtualized
This metric measures the degree to which network
infrastructure is virtualized within the SDDC platform
% of Storage Virtualized
This metric measures the maturity of storage
virtualization and storage related, policy based
deployment of workloads
% of Total Servers Virtualized
This metric measures the level of Server x86 virtualized
vs the overall number of x86 physical servers
Efficiency ReliabilityAgility
12
Detailed SDDC Dashboard Operations description
SDDC Measurable Areas Description
% automation in Chargeback/Showback
This metric measures the maturity of the Chargeback
and SLM aptitude and implementation to provide and
effectively manage Services with understanding of their
full costs
Proactivity in Analytics & Policy Management
This metric measures the automation built in analytics
engine that would provide historical trending analysis for
all IT services to enable Ops to proactively analyze the
production environment.
% Embedded Security & Access Configuration
This metric represents the level of Security controls and
policies embedded in the virtual platform
% Workload in High Trust Computing (HA, DR)
This metric measures the percentage of virtual
workloads and applications protected by software and
virtualization HA and DR
Efficiency ReliabilityAgility
13
Detailed SDDC Dashboard Automation description
SDDC Measurable Areas Description
% Self-Service/Service Catalog Requests
This metric measures the maturity of the self service
aptitude and implementation to provide and effectively
manage user requests through a self service catalog.
% Workloads offloaded to Hybrid Cloud
This metric measures the maturity to use and govern
public compute to create Hybrid IT environment
Applications Provisioning & Configuration
This metric defines the process to provision applications
and pre-configured stacks to ensure the highest levels of
consistent performance and agility in delivery
Automated Infrastructure Provisioning
This metric measures the maturity to provision new
compute resources and de-provision on-demand in order
to meet the needs of the organization.
Efficiency ReliabilityAgility
14
ITaaS Reference Model
Organization
OperationsManagement
Software Defined
Storage
End User Computing
Self-Service, Service Automation
Physical Infrastructure
Virtualization
ITBusinessManagement
Cloud Infrastructure
Extensibility
APIs,Orchestration
Software Defined
Networking
Software Defined
Security
Software Defined
Availability
15
Examples of maturity by industry
16
Some KPIs measured in different industries
Server virtualization with
embedded HA, fault tolerance
and scalability
Service Catalog and true Self
Service of infrastructure and
application stacks
Desktop Virtualization and
Application isolation
Banking
Public sector
Banking
Public sector
Banking
Public Sector
Peer
Best
Now
17
General Considerations for Industries
 There is not “One Size fits all” approach
• Organizations improve key KPIs at their own pace and sequence
 Infrastructure Virtualization is a solid base for all
• Beyond Servers, all looking for next big area of saving (Network, Storage, etc)
 Self Service (more than Automation) has impact beyond
technology
• Identify new organization models to capitalize on skills and resources
 End User Computing is not only Desktop Virtualization
• User profiling and choice of best platform for productivity while lowering costs
of management
18
Analysis and Actionable Roadmap
19
0% 20% 40% 60% 80% 100%
% of Total Servers Virtualized
% of Storage Virtualized
% of Network Virtualized
% of Tier 1 Applications Virtualized
% Workload in High Trust Computing (HA, DR)
% Workload with Scaling & Predictive Capacity
% Embedded Security & Access Configurations
Proactivity in Analytics & Policy Management
% Automation in Chargeback/Showback process
Automated Infrastructure Provisioning
Application Provisioning & Configuration
% Workload offloaded to Hybrid Cloud
% Self Service/Standard Catalog Requests
TO BE AS IS
Personalized SDDC Dashboard – TO BE desired state
EfficiencyQualityAgility
VIRTUALIZATION–OPERATIONS-AUTOMATION
20
Improve Efficiency SDDC KPI – % Network Virtualization
17%
12%
28%
37%
6%
Savings Contribution
Servers
Storage
Networking
Labor
Other
Making improvements in the percentage of network virtualized
has a huge impact on costs efficiency and agility
* VMware SDDC study on Large Financial Organization
How to improve the KPI
Substantial deployment of
distributed virtual switches (L2)
Virtualize L3-L7 network services
to improve granular policy based
automation.
Implement security policies on
granular micro zones managed
by distributed virtual firewall
21
Improve Reliability SDDC KPI – Proactivity in Analytics & Policy
Making improvements in proactive analysis and pre defined
policies have a huge impact on service reliability
How to improve the KPIs
Leverage integrated
management capabilities to
control the overall health, risks
and performance of Services
Enforce standard Configurations
and compliance to reduce admin
time, error rates and audit time.
Proactive Support: automate and
schedule maintenance as
opposed to ticket-triggered ops
http://www.vmware.com/files/pdf/cloud-journey/vmware-journey-
ITaaS-customer-survey.pdf
22
Improve Agility SDDC KPI – % Self-Service/Service Catalog Requests
Making improvements in the level of self-service ability
represents an opportunity to increase agility in the enterprise.
http://www.vmware.com/files/pdf/VMware_IT_Automated_SDLC_
Provisioning_Private_Cloud.pdf
How to improve the KPI
Create App and Ops teams
collaboration to define a standard
Service Catalog to drive usage
and improvements
Secure User access and usage
of self-provisioned and multi
tenant compute
Automate through policies to
reduce “waiting time” during
orchestrated processes
23
Actionable Roadmap
24
Summary
25
Takeaways
Meet us: VMware Accelerate Advisory Services @VMworld
Demo Grounds Location – "Solutions Exchange” – GS2
Evaluate Your Software-Defined Data Center Benchmarks
 The technology to enable ITaaS delivery is ready, now
 Understanding your starting point and tracking your performance
is a key requirement for your success
 The ability to identify, measure and communicate metrics is
essential
 Define architectures and actionable plan is fundamental for
transformational initiative execution
THANK YOU
VMworld 2013: Create a Key Metrics-based Actionable Roadmap to Deliver IT as a Service

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VMworld 2013: Create a Key Metrics-based Actionable Roadmap to Deliver IT as a Service

  • 1. Create a Key Metrics-based Actionable Roadmap to Deliver IT as a Service Enrico Boverino, VMware Rodolfo Rotondo, VMware OPT5314 #OPT5314
  • 2. 3 Agenda  The era of IT Transformation to innovate the business  VMware Advisory Services analysis framework  Examples of maturity by industry  Analysis and Actionable Roadmap  Summary
  • 3. 4 The era of IT Transformation to innovate the business
  • 4. 5 One Direction: IT as a Service for Business Value IT as a Service is a new delivery model for infrastructure & middleware services based on end-user self-service capabilities and a pay-as-you-go costing model.
  • 5. 6 IT as a Service Transformation  Establishing key measurements to understand: • Where am I compared to my competition? • Where am I headed and how is my progress? • What initiative should I work on first? • What’s the value to the business and users?  Define a Transformation roadmap leveraging the latest technologies  Support management decisions on investments and IT Strategy Source : Gartner Source : Web – disneyclips.com
  • 6. 7 VMware Advisory Services analysis framework
  • 7. 8 High impact of our model on key benefits Efficiency Dramatically Lower Costs to redirect investment into value-add opportunities Agility Enable Flexible, Agile, IT Service Delivery to meet the needs of the business Reliability Reduce the Complexity to simplify operations and maintenance
  • 8. 9 KPIs breakdown and focus areas % Self-Service/Service Catalog Requests % Workloads offloaded to Hybrid Cloud Applications Provisioning & Configuration Automated Infrastructure Provisioning AGILITY - TIME % Workload with Scaling & Predictive Capacity % of Tier 1 Applications Virtualized % of Network Virtualized % of Storage Virtualized % of Total Servers Virtualized EFFICIENCY - COSTS % Automation in Chargeback/Showback process Proactivity in Analytics & Policy Management % Embedded Security & Access Configuration % Workload in High Trust Computing (HA, DR) RELIABILITY - SLA • Revenue by LoB • Time to Market • Market Share • # Items Manufactured • # Incident Reduction • # Claims Processed • SLA Violation • Security breaches • Customer Satisfaction • Costs per User • Costs of Computing • Hardware Capex • Costs of Rework AUTOMATIONOPERATIONSVIRTUALIZATION To Business BenefitsFrom IT
  • 9. 10 0% 20% 40% 60% 80% 100% % of Total Servers Virtualized % of Storage Virtualized % of Network Virtualized % of Tier 1 Applications Virtualized % Workload in High Trust Computing (HA, DR) % Workload with Scaling & Predictive Capacity % Embedded Security & Access Configurations Proactivity in Analytics & Policy Management % Automation in Chargeback/Showback process Automated Infrastructure Provisioning Application Provisioning & Configuration % Workload offloaded to Hybrid Cloud % Self Service/Standard Catalog Requests TO BE AS IS Personalized SDDC Dashboard – TO BE desired state EfficiencyQualityAgility VIRTUALIZATION–OPERATIONS-AUTOMATION
  • 10. 11 Detailed SDDC Dashboard Virtualization description SDDC Measurable Areas Description % Workload with Scaling & Predictive Capacity This metric measures the percentage of workload governed by automated scalability and capacity planning % of Tier 1 Applications Virtualized This metric measures the degree of virtualization in place for Tier 1 production applications across the App stack (web, app server, DB, OS) % of Network Virtualized This metric measures the degree to which network infrastructure is virtualized within the SDDC platform % of Storage Virtualized This metric measures the maturity of storage virtualization and storage related, policy based deployment of workloads % of Total Servers Virtualized This metric measures the level of Server x86 virtualized vs the overall number of x86 physical servers Efficiency ReliabilityAgility
  • 11. 12 Detailed SDDC Dashboard Operations description SDDC Measurable Areas Description % automation in Chargeback/Showback This metric measures the maturity of the Chargeback and SLM aptitude and implementation to provide and effectively manage Services with understanding of their full costs Proactivity in Analytics & Policy Management This metric measures the automation built in analytics engine that would provide historical trending analysis for all IT services to enable Ops to proactively analyze the production environment. % Embedded Security & Access Configuration This metric represents the level of Security controls and policies embedded in the virtual platform % Workload in High Trust Computing (HA, DR) This metric measures the percentage of virtual workloads and applications protected by software and virtualization HA and DR Efficiency ReliabilityAgility
  • 12. 13 Detailed SDDC Dashboard Automation description SDDC Measurable Areas Description % Self-Service/Service Catalog Requests This metric measures the maturity of the self service aptitude and implementation to provide and effectively manage user requests through a self service catalog. % Workloads offloaded to Hybrid Cloud This metric measures the maturity to use and govern public compute to create Hybrid IT environment Applications Provisioning & Configuration This metric defines the process to provision applications and pre-configured stacks to ensure the highest levels of consistent performance and agility in delivery Automated Infrastructure Provisioning This metric measures the maturity to provision new compute resources and de-provision on-demand in order to meet the needs of the organization. Efficiency ReliabilityAgility
  • 13. 14 ITaaS Reference Model Organization OperationsManagement Software Defined Storage End User Computing Self-Service, Service Automation Physical Infrastructure Virtualization ITBusinessManagement Cloud Infrastructure Extensibility APIs,Orchestration Software Defined Networking Software Defined Security Software Defined Availability
  • 14. 15 Examples of maturity by industry
  • 15. 16 Some KPIs measured in different industries Server virtualization with embedded HA, fault tolerance and scalability Service Catalog and true Self Service of infrastructure and application stacks Desktop Virtualization and Application isolation Banking Public sector Banking Public sector Banking Public Sector Peer Best Now
  • 16. 17 General Considerations for Industries  There is not “One Size fits all” approach • Organizations improve key KPIs at their own pace and sequence  Infrastructure Virtualization is a solid base for all • Beyond Servers, all looking for next big area of saving (Network, Storage, etc)  Self Service (more than Automation) has impact beyond technology • Identify new organization models to capitalize on skills and resources  End User Computing is not only Desktop Virtualization • User profiling and choice of best platform for productivity while lowering costs of management
  • 18. 19 0% 20% 40% 60% 80% 100% % of Total Servers Virtualized % of Storage Virtualized % of Network Virtualized % of Tier 1 Applications Virtualized % Workload in High Trust Computing (HA, DR) % Workload with Scaling & Predictive Capacity % Embedded Security & Access Configurations Proactivity in Analytics & Policy Management % Automation in Chargeback/Showback process Automated Infrastructure Provisioning Application Provisioning & Configuration % Workload offloaded to Hybrid Cloud % Self Service/Standard Catalog Requests TO BE AS IS Personalized SDDC Dashboard – TO BE desired state EfficiencyQualityAgility VIRTUALIZATION–OPERATIONS-AUTOMATION
  • 19. 20 Improve Efficiency SDDC KPI – % Network Virtualization 17% 12% 28% 37% 6% Savings Contribution Servers Storage Networking Labor Other Making improvements in the percentage of network virtualized has a huge impact on costs efficiency and agility * VMware SDDC study on Large Financial Organization How to improve the KPI Substantial deployment of distributed virtual switches (L2) Virtualize L3-L7 network services to improve granular policy based automation. Implement security policies on granular micro zones managed by distributed virtual firewall
  • 20. 21 Improve Reliability SDDC KPI – Proactivity in Analytics & Policy Making improvements in proactive analysis and pre defined policies have a huge impact on service reliability How to improve the KPIs Leverage integrated management capabilities to control the overall health, risks and performance of Services Enforce standard Configurations and compliance to reduce admin time, error rates and audit time. Proactive Support: automate and schedule maintenance as opposed to ticket-triggered ops http://www.vmware.com/files/pdf/cloud-journey/vmware-journey- ITaaS-customer-survey.pdf
  • 21. 22 Improve Agility SDDC KPI – % Self-Service/Service Catalog Requests Making improvements in the level of self-service ability represents an opportunity to increase agility in the enterprise. http://www.vmware.com/files/pdf/VMware_IT_Automated_SDLC_ Provisioning_Private_Cloud.pdf How to improve the KPI Create App and Ops teams collaboration to define a standard Service Catalog to drive usage and improvements Secure User access and usage of self-provisioned and multi tenant compute Automate through policies to reduce “waiting time” during orchestrated processes
  • 24. 25 Takeaways Meet us: VMware Accelerate Advisory Services @VMworld Demo Grounds Location – "Solutions Exchange” – GS2 Evaluate Your Software-Defined Data Center Benchmarks  The technology to enable ITaaS delivery is ready, now  Understanding your starting point and tracking your performance is a key requirement for your success  The ability to identify, measure and communicate metrics is essential  Define architectures and actionable plan is fundamental for transformational initiative execution