1. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. TeamQuest and the TeamQuest logo are registered trademarks in the US, EU and elsewhere. All other trademarks and service marks are the property of their respective owners. Virtualization, Cloud and Big Data IT Operational Analytics to Cost optimize the “Virtual Everything” IT Universe David Wagner – TeamQuest Advocate

2. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Presentation is an adaptation of recent TeamQuest and Forrester Research Webinars: –“Business AND IT Analytics: You need both to optimize Business” James Staten, Vice President and Principal Analyst, Forrester Research David Wagner, Advocate, TeamQuest September 12, 2013 –“Beyond Virtualization: Accelerating the Road to Software Defined Computing” Richard Fichera, Vice President and Principal Analyst, Forrester Research David Wagner, Advocate, TeamQuest August 15, 2013 Recordings of both Webinars available: www.teamquest.comwww.teamquest.com All Forrester content with permission and noting attribution Background

3. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. What is a Software Defined Data Center? –Definition, evolution, capabilities, approaches… Business Analytics with IT data –Definition, evolution, capabilities, approaches… Cost Optimization: –Or… “The corner of Business Analytics, IT Analytics and SDDC meet the discipline of Performance Analysis and Capacity Management” Agenda

4. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. TeamQuest and the TeamQuest logo are registered trademarks in the US, EU and elsewhere. All other trademarks and service marks are the property of their respective owners. Software Defined Data Center Rich Fichera, VP and Principal Analyst, Forrester Research

5. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. An integrated abstraction layer that presents computing infrastructure as pools of virtual and physical resources, allowing users to dynamically compose them into Services –Rich Fichera: Forrester, September 2013 Forrester, VMware, and others (e.g. Bernd Harzog, The Virtualization Practice) call this the “Software Defined Data Center” Software defined computing

6. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. © 2013 Forrester Research, Inc. Reproduction Prohibited6 Enterprises will deploy their new virtual servers in dynamic pools “What percentage of your total x86 servers OS instances are in each of the following categories?” Base: North American and European IT decision makers at enterprise firms using physical x86 servers In four years, enterprise respondents expect to move about 20% of their current physical servers into a private or public cloud Source: Forrsights Hardware Survey, Q3 2012

7. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. © 2013 Forrester Research, Inc. Reproduction Prohibited7 New data center technologies focused on reducing manual assembly & config Base: 1048 IT hardware decision makers at enterprises in North America and Europe Source: Forrsights Hardware Survey, Q3 2012

8. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Respond faster to business spikes –USAA’s mobile app created 10x the transaction volume than it expected Deploy and refresh new applications faster –Retailers need to capture their share of mobile commerce as it grows from $6 to $31b (2016) Reduce upfront capital outlays and system operating expense Optimize resources for systems of engagement This is not the end of the road Forrester content So, enterprises see the benefit of data center abstraction

9. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. © 2013 Forrester Research, Inc. Reproduction Prohibited9 Source: Forrsights Hardware Survey, Q3 2009, 2010, 2011, 2012 Virtualization remains highest IT infrastructure priority, but cloud gaining “Which of the following initiatives are likely to be your firm’s/organization’s top hardware/IT infrastructure priorities over the next 12 months?” (Percentage of respondents who answered “critical” or “high” priority) Base: North American and European IT decision makers at enterprise firms with 1,000 or more employees *Question wording in 2009 and 2010 referred to IaaS as “virtual-server-as-a-service”

10. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Inclusion of legacy or non-virtualized hardware resources? Interoperability of multiple vendors’ converged infrastructure systems? Software-defined networking approach – SDN vs. OpenFlow vs. Cisco Management remains a mystery –Lack of real time data –Lack of global optimization strategies Forrester content Architectural challenges for SDDC

11. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. SDDC management will place a premium on new management models –Real time data collection –Embedded Analytics –Ability to span multiple data source domains intelligently Analytics will have different goals – efficiency, cost, root cause analysis Goals include workload-centric optimization, global cost and energy efficiency, global availability … very tough challenges for management vendors Forrester content Management is more than monitoring

12. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. The term is largely unheard of, but infrastructure leaders generally understand or can guess what this implies More senior leaders think of consolidated data centers of the past –But many are “wait and see” –“Sounds nice, but how do we get there?” Skepticism that one company can do servers, storage and network well –That impression might be different when speaking to established converged infrastructure customers (UCS/VCE/FlexPod/Pure customers) Server virtualization is seen as much more advance than SDN or software defined storage Buy-in on the concept will require cross-silo strategy and collaboration and threaten established centers of power in the data center Forrester content Software defined data center - Considerations

13. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. TeamQuest and the TeamQuest logo are registered trademarks in the US, EU and elsewhere. All other trademarks and service marks are the property of their respective owners. Business Analytics with IT Data James Staten, VP and Principal Analyst, Forrester Research

14. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. It’s a mess It isn’t standardized Value isn’t intrinsically measurable Systems can’t talk to each other It isn’t easily presented or understood “We don’t Leverage IT Data because…”

15. © 2013 Forrester Research, Inc. Reproduction Prohibited15 Pop quiz: What is the business more worried about? Adjusting to what we know is changing in our market Adjusting to what we don’t know

16. © 2013 Forrester Research, Inc. Reproduction Prohibited16 True business visibility is limited

17. Intelligence—not data—will be the difference between success and failure. Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012 2.7 Zettabytes 1.2 yrs $600B

18. © 2013 Forrester Research, Inc. Reproduction Prohibited18 › It’s a mess › Isn’t standardized › Value isn’t intrinsically measurable › Systems can’t talk to each other › Isn’t easily presented & understood We don’t leverage IT data because... Forrester content

19. © 2013 Forrester Research, Inc. Reproduction Prohibited19 But the business values this over all else Source: Forrsights Business Decision-Makers Survey, Q4 2012; Base: 1,170 EMEA business decision-makers Improve the use of data analytics to improve business decision making

20. © 2013 Forrester Research, Inc. Reproduction Prohibited20 What IT data can tell the business 1.When & where customer experience breaks down 2.Where inefficiencies lie in key business processes 3.When & where performance problems really affect the bottom line 4.When legal issues arise (and how to prevent them) 5.Find root causes that result in customer dissatisfaction 6.Find and see past false indicators

21. The Most Popular Types Of IT Analytics, How They Work, And Their Value December 2012 Forrester Report: “Turn Big Data Inward With IT Analytics”

22. Topological Relationships Help Map Cause-E ff ect Phenomena December 2012 Forrester Report: “Turn Big Data Inward With IT Analytics”

23. Statistical Analytics Uncovers Performance Patterns December 2012 Forrester Report: “Turn Big Data Inward With IT Analytics”

24. Configuration Analytics Spots Changes And Policy Violations December 2012 Forrester Report: “Turn Big Data Inward With IT Analytics”

25. © 2013 Forrester Research, Inc. Reproduction Prohibited25 What you can do about it 1.Unify IT data Centralize the analysis – views by role 2.Map the business to IT systems Then you can map business efficiency 3.Show the business what you find Then let them at the tool for their own analysis

26. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. TeamQuest and the TeamQuest logo are registered trademarks in the US, EU and elsewhere. All other trademarks and service marks are the property of their respective owners. Business AND IT Analytics Using both to optimize the business in a “virtualized everything” world David Wagner - TeamQuest

27. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. “You have what the business wants” “Map to business to IT systems, then you can map business efficiency” –James Staten (9/12/13) “The business already has what you NEED” “Map IT to the business, then you can map IT efficiency” –Dave Wagner (10/04/13)

28. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Our existing tools don’t accept it –ETL into acceptable format(s) is a lot of work, cost –Manual efforts won’t scale We have no expertise in business data –It isn’t easily presented or understood –We’ve never had the time to deal with it What can we really DO with it? –Where do we start? –What is the value? “We don’t use business data because…”

29. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Software Defined Data Center Business Analytics and IT –Revolutionary new business technologies -> Data growth –Analytics for business, fed by IT IT changes: Cloud, Virtual, SDDC… IT performance & capacity management impact –Challenges –An analytic approach Topics

30. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. SDDC Asset Management Smart Devices Virtualized Storage Virtualized Servers Virtualized NW Etc…. Customer Call Center Operations POS Optimization Demand Response Campaign Management Credit & Collections Billling Etc…. Business Services/Applications Cloud, Virtualization and SDDC -> Changing Demands on Enterprise IT

31. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Increasing Planning and Optimization Challenges Business Services/Applications SDDC Asset Management Smart Devices Virtualized Storage Virtualized Servers Virtualized NW Etc…. Customer Call Center Operations POS Optimization Demand Response Campaign Management Credit & Collections Billling Etc….

32. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Underlying IT Infrastructure Outage Management Customer Operations Distribution Automation Asset Management 32 Requirement: Align IT performance/capacity and business across technologies Services Applications Server/OS Big Data Collection Business Intelligence Aligned Business and IT Intelligence Enterprise Performance & Capacity Mgt. Correlate business process & IT performance Insight into how business process changes impact IT Understand IT costs by business unit/process Insight into business process performance all the way down to storage components Network Storage

33. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Needing answers… “What is the health of the infrastructure?” “How efficiently are we using the infrastructure?” “How many of those do we have? Need? When?” “Changes compared to the last reporting period?” “What’s the capacity forecast?” “What were the exceptions? Do we Care?” “What’s the risk assessment?”

34. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Analytics –Monitoring technology performance utilization trends, statistics –“Siloed” problem analysis –Planning focus: optimizing server cost versus performance Extremely technology-centric – in isolation –Servers and mainframes: physical and virtual –Storage and network: physical and virtual Big value and return, but also a big effort –Requires highly trained staff; domain expertise –Requires building a central, long-term repository (CMIS or PMDB) –Problems with scalability of staff and tools … Politics! Capacity management: Today’s IT optimization tradition

35. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Build on traditional value –Optimize more resources –Amplify –Accelerate Increase business relevance –Valuable predictive analytics in business and service context –Optimize efficiency Virtualization and cloud  SDDC: scale everything –Many-to-many interrelationships; capacity more critical –Back end performance now more critical –Front-end devices -> performance and capacity New capacity management goals

36. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Continuous DevOps, consolidation, repurposing, re-hosting, etc. –Least used (servers, virtual servers, storage, etc.) –Most power (consumption, carbon footprint, etc.) –Most expensive (total OpEx) –By application, over time… and many more Financial optimization – not utilization anymore! –Under-used doesn’t necessarily mean wasteful! –Over-used doesn’t necessarily mean lost revenue/profit Goal: eliminate true waste, ensure performance Infrastructure optimization

37. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Asset database –Server CapEx, OpEx and licensing costs Service catalog –Mapping of applications to servers/virtual servers Power consumption and cost –kWh per server –cost per kWh over time, versus dynamic demand, etc. Resource utilization, events, etc… –By server, virtual server and application, storage, network… Infrastructure optimization data sources (some)

38. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Build a huge “data mart” (i.e. PMDB) Complexity = (data ETL) x (# sources) x (maint. effort) x (SDDC variability/dynamism) x … + Compliance: Data duplication, privacy, audit, etc… + Lock in” = Very costly and time-consuming Apply general purpose BI analytics –Not focused on IT Resource optimization, performance Agility? Core competence? A Sub-optimal Approach: BI-type IT Data Warehousing

39. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. INTRODUCING A “BIG DATA” TYPE ANALYTIC APPROACH A Better Solution 39

40. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Federate existing data into purpose-designed performance/capacity process –Technology data (e.g. server, network, storage, etc.) –Service data (catalog, metrics, tickets, etc.) –Business data (Business Analytics, KPIs, plans, TXNs, etc.) Automate analytics across all data sources –Flexible and adaptive to dynamic SDDC environments –Raw (commodity) data -> actionable information for IT Latency & throughput, not simple utilization rates or availability Single-pane-of-glass management A “Big Data” type analytic approach

41. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. SOME EXAMPLES A “Big Data” Analytic Approach 41

42. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Business, service, asset and power –Continuous financial optimization Service tickets and performance/capacity –Risk management Spanning pure technology silo challenges –Improve availability and speed MTTR Risk prediction – by latency/use Analytic examples: Multi-data types

43. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Financial optimization report

44. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Risk: Service desk and capacity

45. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Virtualized Servers AND storage - together

46. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Servers AND storage — together

47. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Servers AND storage - together Huge Value for Virtual/Cloud Environments: Cross the Chasm!

48. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. TEAMQUEST PERFORMANCE INDICATOR Managing Performance that Matters 48

49. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. TeamQuest Performance Indicator: Automating proactive latency analytics

50. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Automated, exception-based analytics

51. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Automated queuing RCA

52. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Latency holistic RCA: Server, workload, VM *and* storage

53. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Large Insurance –Multi-year transition to dynamic grid and virtualization –Improved resource utilization by over 400% –Saved $25M over 3 years – expense deferral while maintaining SLAs Large Finance –Deferred massive, planned data center build out by 18 months and counting ($20M+ to-date) –Reduced service risks, lowered operational costs, expanded staff scope/reach Cloud AAS Provider –Sped MTTR for client-facing services by several fold Telecommunications –Sped client-facing infrastructure MTTR, cost-reduction, right-sizing 53 Results

54. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. NEW! TEAMQUEST RISK PREDICTOR Assuring Peak Performance 54

55. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. 55 TeamQuest Risk Predictor Know how long you've got until response time will suffer Rules by TPI, utilization, percent change in response time

56. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. 56 Exception-based latency prediction: by workload, VM, system…

57. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. 57 Auto-predicted queuing analytics: By workload, VM, system… Continuous, Rolling Prediction Automated Re-baselining Complete Components of Response Time (latency)

58. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Federation maps virtually all sources… but not all –Low effort –Rapid time to value Any chosen analytics must handle –Multiple, disparate sources –Modularly, combinatorial You will want rule-based automation of analytics –Flexible, easy to modify –Only way to “human scale” in dynamic, large IT environments Pick “low hanging fruit” for first project(s)! –Use existing data sources instead of boiling the ocean –Build from your wins Additional analytic considerations

59. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Inventory IT processes and tools –Data collection –Data storage –Capacity Analysis/Reporting Inventory business KPIs, factor BI analytic initiatives Identify “low hanging fruit” –By Service –By BU –By Platform –By Technology/silo Get started bringing it together, don’t wait 59 Summary and Recommended Steps

60. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. TeamQuest: Insight Gained “I know the performance of my infrastructure!” “I know how efficient my IT environment is and can be!” “I know what we have, what we need, and when we need it!” “I know what has changed and why from the last period!” “I have a Capacity Plan!” “I understand the exceptions and their importance!” “I know what my risks to performance are and will be!”

61. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. Peak Performance Ideal Capacity Optimized Costs 61 TeamQuest: Assuring your Future!

62. Copyright © 2012 TeamQuest Corporation. All Rights Reserved. 62 Questions?