1. 1 PRM 7: The New Enterprise Data Center Operations Management Model John Parker: Disaster Recovery and Global Data Center Operations Management ESRI Dave Eastman, VP InCommand

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3. 3 The New Enterprise Data Center Operations Management Model This two part session presented by two global data center managers with their perspectives, strategies and lessons learned on key data center hot topics. Part one of the presentation is creating a strategy to build a data center on premise vs. moving to colocations and/or the cloud. Part two will cover DCIM from determining critical the elements of a tool, the gotchas and the business and data center operations value a good DCIM solution can provide.

4. 4 Hybrid Model Data Center of the Future Is Here Hybrid

5. 5 The Presentation Key points for each model Determining Factors

6. 6 Johns Definitions Company owned data center: Ownership of all decision-making for capital expenditures, personnel resources, service levels, audit requirements and data center management activities. Colocation provider Leased data center providing power, space, cooling and physical security. Also may include several levels of managed service offerings and remote hands. Cloud provider : Leased hardware in a data center space that may include all services to support systems, applications, databases, networks and security

7. 7 Hybrid Stats (Info Tech Resource Group) Collocation 60% of organizations engage in some form of data center co-location services, but over 70% of do not outsource the entire data center. Most companies Collo any hardware that requires extra recovery, special audits and availability while leaving the remaining in owned data centers.

8. 8 Hybrid Stats (Source- IDC) By 2017, IT buyers will actively channel 20% of their IT budgets through industry clouds to enable flexible collaboration, information sharing, and commerce. By 2017, 35% of new applications will use cloud- enabled continuous delivery and DevOps lifecycles for faster rollout of new features and business innovation.

9. 9 Key Points-Company owned data center FPA-0251-2DM-3N Full Control Hardware lifecycle Ownership Your policies and procedures Facilities hardware SLA’s, Audits, Accountability

10. 10 Key Points-Collo & Cloud data center Full Control Hardware lifecycle Ownership Their policies and procedures Their Facilities hardware Their SLA’s, Audits, Accountability

11. 11 Key Points to know- Owned Data center Current power and space capabilities Future growth capabilities Audit and service level agreement capabilities Costs to operate Personnel

12. 12 Key Points-Collocation Data Center Leasing forces you to have asset management and controls 1, 3, 5 year acquisition cycle offers greater agility and flexibility, especially with business unknowns Successful co-location planning requires a minimum of 2-4 months planning and due diligence. (RFP’s, Reviewing data, negotiating, site visits) Have checklist for services provided by colocation provider. Examples are power and space rent only, partial managed services, full managed services. Relinquish ownership of most responsibilities Create scorecards

13. 13 Key Points- Cloud Data center Time to market Pay-as-you-go Unlimited resources Lack of control

14. 14 Determining Factors-Owned Data Center Asset ownership vs. consumption model Failures and outages increase w/ age Licensing and maintenance fees End-of-Life worries Facilities hardware PM's, repairs, building repairs and maintenance Budget limitations

15. 15 Determining Factors-Owned Data Center Capital expenditures responsibilities for: land, building, taxes, insurance, facilities hardware, network connectivity (fiber pulls) Personnel resources to manage and maintain Maintenance window risk: most data centers do not have full redundancy and there are risk often associated with break fix maintenance and preventative maintenance activities Although most data centers are currently using virtualization, but can’t provide services such as self- service provisioning and chargeback Most data centers can’t provide five nines availability

16. 16 Determining Factors-Collocation Data Center Power, Space, Cooling offering Partial or full managed services offerings Remote hands services Ability to provide for unplanned growth for power and space N +1 to concurrent maintainability service level agreements Ability to support most or all audit requirements Multiple Telco/ISP Providers Direct connect to Cloud providers

17. 17 Cloud Factors It’s like using a credit card, the costs can be unpredictable, therefore controls must be in place : Forecast and budget spending Standardize processes for allocation, utilization and retirement Review costs monthly, weekly initially

18. 18 Cloud Factors Companies must have an HA architecture inside the cloud where the instances or VM’s live or somewhere else. Different locations for: network connectivity, servers, etc.. Self-service provisioning and chargeback

19. 19 Public Cloud Compute and storage resources via the public Internet to any organizations or departments within your company Cloud provider controls all hardware resources such as network and storage and servers Security continues to get better to the point where it may be better than your own internal security controls

20. 20 In House Private Cloud Steps to create a private cloud: Must have very good experience with internal virtualization initiatives Ability to provide on demand VM resource pool (self service provisioning) Standardize request for the on demand resources Start small with a limited number of users to consume IT from a common pool behind the firewall

21. 21 Strategy Requirements FLO-0187-2DM-5N Data Center Strategy Adhoc Req. Network Req. IT Req. Business Req.

22. 22 When to use your data center It all depends on the conditions of your existing legacy data center Age of infrastructure Power, space available Meets reliability requirements It all depends on the business requirements SLA's and availability requirements Planned and unplanned growth Audit Requirements Future personnel resource requirements

23. 23 When to use a Collocation provider data center When you are low or running out of power and space When business requirements are unknown Unqualified or lack of personnel Inter-site connectivity Budget constraints When your data center cannot meet requirements for: SLA’s Audits Future growth Support activities

24. 24 When to use a Cloud provider data center Infrastructure sizing SaaS, IaaS, PaaS Auto scaling for unknown number of users/hits Lack of personnel Budget constraints and Pay-as-you-go Time to market critical In-house network constraints/ big data Hardware architectural size unknown

25. 25 Proposals and Gotchas Create a template for apples to apples RFP comparisons from cloud and colocation providers

26. 26 Proposal Collocation Gotchas 1,3,5 Year Term – ? kW Price Capex Power$$$$ Capex Space$$$$ Capex Internet$$$$ Capex Burstable Internet$$$$ Capex Cross Connect$$$$ Capex Totals$$$$ Monthly Power$$$$ Monthly Space$$$$ Monthly Internet Access (1Gb)$$$$ Monthly Burstable Internet$$$$ Monthly Cross Connect$$$$ Inter-Site Connectivity$$$$ Monthly Totals$$$$$

27. 27 Proposal Collocation Gotchas Cloud (Acme)QTYunit costNRCMRCAnnual Costs Acme CloudFront Acme Dynamo DB Acme Elastic Compute Cloud Acme Elastic MapReduce Acme ElastiCache Acme Glacier Acme RDS Service Acme Redshift Acme Route Yy Acme Simple Email Service Acme Simple Notification Service Acme Simple Queue Service Acme Simple Storage Service Acme Simple Workflow Service Acme SimpleDB Acme Virtual Private Cloud Acme Data Pipeline Acme Data Transfer Acme Direct Connect Acme Import/Export Acme Storage Gateway AcmeSupportBusiness AcmeSupportDeveloper Sub-total

28. 28 Owned data center gotchas As well as capitol expenditures discussed earlier Preventative maintenance cost for UPS, generators, HVAC Generator fuel cost Miscellaneous maintenance cost for prior years Anticipated maintenance cost, batteries capacitor replacement, etc.. Personnel costs Testing

29. 29 Collocation Gotchas Future site locations (national/global) ROFR (Right Of First Refusal) Multiple RFP’s Network costs: Contract ending clauses Limited growth however may utilize Inter-site connectivity Cross connects Additional NRC build-out costs

30. 30 Cloud Gotchas More expensive in the long run? Very easy to overspend Lack of standard processes for allocating cloud resources Lack of reviewing and monitoring expenses Shutting down of unused resources Experience and training using Cloud

31. 31 3 Key Things You Have Learned During this Session 1. What the Hybrid Model is 2. How to determine uses for on Prem, Collo, Cloud 3. Gotchas to look out for each model

32. 32 Questions ????? Thank you for attending

33. 33 Contact Information John Parker| Disaster Recovery and Global Data Center Operations Management| Esri| jparker@esri.comjparker@esri.com

34. 34 SPEAKER BIO 8 years researching, developing, deploying and operating DCIM in a global enterprise Outdoorsman Family man

35. 35 What We’re Going to Talk About... Current State of DCIM Critical Elements to DCIM Success KPIs and Reports that are Worth Something

36. 36 CURRENT STATE

37. 37 SECTION 1: CURRENT STATE OF DCIM SOLUTIONS

38. 38 CRITICAL ELEMENTS TO DCIM SUCCESS

39. 39 SECTION 2: CRITICAL ELEMENTS TO DCIM SUCCESS Research Transition Preparation Operation Challenges KPIs Cross- domain Collaboration

40. 40 SECTION 2: CROSS-DOMAIN BUY IN AND COLLABORATION Executives DC Engineers Facilities Server Owners

41. 41 SECTION 2: INDEPTH TOOLS RESEARCH DCIM Tool Sales Cycle Commission/decommission Determine power and space availability Set policies and thresholds Customize workflows Produce KPIs Ask: HOW do you… How?ShowTest

42. 42 SECTION 2: TRANSITION TO NEW OPS MODEL ForecastProcure Track Assets CMDB vs DCIM DB Change Mgmt. Disposal As-is To-be

43. 43 SECTION 2: OVERCOMING OP CHALLENGES ChallengeSolution Changing the culture of changeMake change a win-win “HOW” problem exposed!No solution! Do your research up front TrainingCreate training collateral for every role/task Attrition2-deep staffing at every position

44. 44 USEFUL KPIs AND SAMPLE REPORTS

45. 45 SECTION 3: USEFUL DCIM KPIs and SAMPLE REPORTS 1.PUE 2.Room Power Efficiency KPI 3.Rack Utilization KPI 4.Rack Power: Space Ration KPI 5.Constraining Items Report 6.Global device lists filterable and sortable by age and model 7.Capacity planning that tell you exactly how many more of a specific device can be installed into the data center and exactly where 8.Redundancy planning based on how many watts will actually fail over, not on derated thresholds

46. 46 SECTION 3: PUE InterestingUseful

47. 47 SECTION 3: ROOM POWER EFFICIENCY KPI Useful

48. 48 SECTION 3: RACK UTILIZATION KPI All Groups Windows InterestingUseful

49. 49 SECTION 3: RACK POWER:SPACE EFFICIENCY KPI Useful

50. 50 SECTION 3: CONSTRAINING ITEMS REPORT

51. 51 SECTION 3: TRACKING REAL FAILOVER WATTS vs. 50% DERATING THRESHOLDS! Useful

52. 52 SECTION 3: GLOBAL DEVICE LISTS – FILTER / SORT Useful

53. 53 SUMMARY

54. 54 SUMMARY AND TAKE AWAYS 1.The New Enterprise Data Center Operations Management Model is built on DCIM intelligence 2.Lack of attention to the “Critical Elements to DCIM Success” may doom you to being a “car wreck in a ditch” 3.DCIM business value will be derived if tools and processes are: Operations are sustained for 3+ years KPI’s expose Useful information

55. 55 Thank you Dave Eastman, VP InCommand dave@sfrdc.com