From Early Adopter to Enterprise Private Cloud: One Company s Virtualization Evolution. Ken Peck Director of IT DaVita

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2 From Early Adopter to Enterprise Private Cloud: One Company s Virtualization Evolution Ken Peck Director of IT DaVita

3 Agenda Introduction About DaVita DaVita s Virtualization History Where we are today What s on the horizon Insights

4 Introduction Ken Peck Director of IT in the Office of the CTO 16+ years in IT Husband, father, grandfather Pilot & airplane builder Innovator Scott Siegfried Infrastructure Principle Architect in the Office of the CTO

5 Fortune 500 Healthcare company Dialysis provider ~150,000 patients ~2,000 clinics Consistenly surpasses national averages for clinical outcomes and leads in multiple indicators Culture of Mission and Values

6 Interesting facts 4,200 Servers (2,200 distributed in clinics) 1 PB of SAN Storage 2 main data centers

7 Virtual, Cloud, Public, Private

8 The Early Years ( ) VM a new shiny object The good Worked right out of the box Very attractive value proposition Some success virtualizing systems The not so good Complex licensing models Skill sets underdeveloped Operational tools inadequate Some systems not successfully virtualized Application owner resistance Result early start which stalled

9 The Middle Years ( ) New business drivers Unprecedented growth servers & storage Absorb acquisition s systems into data center Acquisition some new technology w/ businesses Power and space constraints The response Solve data center constraints with virtualization Integrate acquired SAN virtualization technology Develop skill sets and process to leverage virtualization

10 Focus on Virtualization Evaluated Citrix ZenServer, MS Hyper-V and VM Virtual Enterprise Infrastructure Conducted Infrastructure Assessment using VMware Capacity Planner tool Onsite performance data collection April-May 08 Targeted all production systems (331 servers) Peak CPU utilization avg 8% Avg CPU utilization 5% Resulting target approach 253 Physical server consolidated to 9 (n+1)

11 Assessment Results CPU Util 11

12 Better Utilization of Resources Before Virtualization After 12

13 Yesterday( ) Status of virtualization Instituted Virtual First policy for servers Deployed next generation of virtualization for Windows and Unix DeployedvSphere/vCenter Benefits Realized Quicker & chearper to deploy new servers Quicker server recovery from hardware failures Able to stay in existing data center w/ minimal changes More storage flexibility Application owners understand the WIFFM Challenges Lower entry cost can drive virtual server sprawl Staying ahead of the curve on disk space Data center constraints are still there

14 Today and Tomorrow (2013 and beyond) New business drivers SaaS product requires increased availability Expansion into new markets and lines of business Future business climate demands flexibility Mobile/Social/Big Data

15 Today and Tomorrow (2013 and beyond) So far Opened second data center Purchased monitoring and automation tools Purchased new incident/problem managemt tool Implementation of both in progress Projected benefits Accommodate significant growth & flexibility Self-provisioning of servers Business service management

16 Discovery & CMDB

17 Network & Server Automation

18 Operations Orchestration

19 Monitoring: OpenView

20 Business Service Management Business Service Management (BSM) Service Level Monitor (SLM) Business Process Monitor (BPM) Real User Monitor (RUM) Diagnostics

21 Service Intelligence Service Health Reporter Service Health Optimizer Service Health Analyzer

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23 Integration: Business Service Abstracted & Non-Technical info needed in Service-Now Discoverable / technical attributes sourced in ucmdb Key items synchronized across ucmdb, RTSM and Service-Now Business Services Servers Databases Network Elements Process Taxonomy Naming Conventions Granularity Definition Governance Source of Record Attributes Business Service Business Service Instance Network Elements Servers Server1 EHR Falcon EHR Prod Switch Server2 Server3 Demographic Owner CM Approver QA Contact Technical SME Databases DB1 DB2 Support Tier SOX

24 HP Tools Summary Configuration Configuration Discovery & Dependency Mapping (DDM) Universal Configuration Management Database (ucmdb) Automation Server Automation (SA) Network Automation (NA) Operations Orchestration (OO) Monitoring HP Operations Manager (OM) Network Node Manager (NNM) Business Service Management (BSM) HP OMi & Topology Based Event Correlation Business Process Monitor (BPM) Real User Monitor (RUM) Diagnostics Service Level Monitor (SLM) Service Intelligence Service Health Reporter (SHR) Service Health Analyzer (SHA) Service Health Optimizer (SHO

25 HP Tools Summary Automation Configuration Discovery & Dependency Mapping (DDM) Universal Configuration Management Database (ucmdb) Automation Server Automation (SA) Network Automation (NA) Operations Orchestration (OO) Monitoring HP Operations Manager (OM) Network Node Manager (NNM) Business Service Management (BSM) HP OMi & Topology Based Event Correlation Business Process Monitor (BPM) Real User Monitor (RUM) Diagnostics Service Level Monitor (SLM) Service Intelligence Service Health Reporter (SHR) Service Health Analyzer (SHA) Service Health Optimizer (SHO

26 HP Tools Summary Monitoring Configuration Discovery & Dependency Mapping (DDM) Universal Configuration Management Database (ucmdb) Automation Server Automation (SA) Network Automation (NA) Operations Orchestration (OO) Monitoring HP Operations Manager (OM) Network Node Manager (NNM) Business Service Management (BSM) HP OMi & Topology Based Event Correlation Business Process Monitor (BPM) Real User Monitor (RUM) Diagnostics Service Level Monitor (SLM) Service Intelligence Service Health Reporter (SHR) Service Health Analyzer (SHA) Service Health Optimizer (SHO

27 HP Tools Summary Configuration Discovery & Dependency Mapping (DDM) Universal Configuration Management Database (ucmdb) Automation Server Automation (SA) Network Automation (NA) Operations Orchestration (OO) Monitoring HP Operations Manager (OM) Network Node Manager (NNM) Business Service Management (BSM) HP OMi & Topology Based Event Correlation Business Process Monitor (BPM) Real User Monitor (RUM) Diagnostics Service Level Monitor (SLM) Service Intelligence Service Health Reporter (SHR) Service Health Analyzer (SHA) Service Health Optimizer (SHO)

28 Insights Desired business outcomes should drive technology decisions The key factors are people, processes, technology, time and money You never reach the desired end state, just new current states

29 Appendix following Q&A

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