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THOMSON REUTERS Infrastructure Growth Mitigation x86 Server Virtualization, Storage Optimization CHRISTOPHER CROWHURST VP Strategic Technology Professional Division
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MARKETS DIVISION PROFESSIONAL DIVISION Thomson Reuters 5 Financial: $7.5B Provides financial applications for over half a million professionals globally. Legal: $3.6B Westlaw is relied upon by 100% of the U.S.’s major law firms. Tax & Accounting: $.9B Checkpoint used by 100 of the top 100 U.S. accounting firms. Healthcare & Science: $.8B Informing healthcare decisions affecting over 150 million lives. Used by over 20 million researchers worldwide. Media: $.4B Reuters News reaches over one billion people daily. We are the leading source of intelligent information for the world’s businesses and professionals, providing customers with competitive advantage
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Why Virtualize? 4 Servers = 1 Hairdryer = 1.25kW 7,500 Servers = 2,250 kW 2,250 kW for one year = 19,710,000 kWh 19,710,000 kWh = 14,783 Tons CO 2 Trees scrub ≈ 50lb of CO 2 each year Our virtualization will have the same impact as planting 591,300 trees or taking 1569 Hummers® off our highways
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Alternatively - Why Virtualize? The Division’s technology infrastructure is growing annually at a rate greater than the revenue growth infrastructure growth > revenue growth
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41 – 92% growth in income in past 5 years
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300 – 780% growth in infrastructure in past 5 years
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Infrastructure Costs 7
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Power Growth Projection 8 Mega Watts
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Storage Optimization Potential Appropriate Performance –Currently 90% of storage is on high performance high cost disk –Analysis shows over 60% of primary data is barely active –High Performance disk is 300% the cost of new larger and slower technology Utilize unused storage –Currently storage is 31% full –New technology allows better management allowing a shift to 60% utilized –½ of the storage is required to service the same amount of used space activity Utilization
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What we can’t do All dedicated and specialty storage frames were excluded, regardless of usage 25% of the remaining applications were removed to be conservative Impact Results in expense saving due to reduction in capital equipment costs and associated depreciation Technologies Data Mobility and Mitigation De-duplication, cloning, thin provisioning Performance Monitoring and Alerting Capacity Reporting and Dash-Boarding Storage Optimization Potential Capital Impact Expense Impact
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Server Virtualization Potential Certain applications not candidates for ESX 3.5 –Golden Geese –Large memory applications –High performance databases –Grid Architectures –IO intensive apps Target first –Non production –Windows, Linux –Stateless/non-clustered Business unit specific goals –Analyze architecture of foot print –Examine growth plans –Negotiate goals 11
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Server Virtualization Potential Existing environment opportunity ≈ 4000 servers (36% x86) Organic growth opportunity ≈ 1000 servers annually (30%) Existing Servers – P2V –Cost per recovered kW ≈ 25% cost of equivalent datacenter capacity –One time recovery of 1.3MW –One time skill set Vmware & NetApp professional services –Ranging from 10:1 to 30:1 consolidation Growth Virtualization –Cultural /behavior change –Acquire(d) skills - FTE
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P2V – Existing Server Virtualization Recovers datacenter capacity –Space and power –Unanticipated consequences – e.g. Decreases underutilized storage Refreshes servers –Decreases (repurposes) capital costs of hardware –Opportunities for license recovery –Provides HA to traditionally non-clustered environments Saves a boat load of money Expense Impact Capital Impact
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Impact of Virtualization 14 Projected growth reduction Mega Watts
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Financial Impact of mitigation 5 Year cash savings in excess of $300M –Avoided datacenter expansion –Reduced server capital Under 12 month payback Annual $ avoided
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Sample of environment: 72 servers, 1728 CPU cores, 18TB RAM, Approx 2000 VMs
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Big Rules for stability – Control failure domains RTO ≤ 15 minutes (single HW failure) Physical hosts per cluster 12 ≥ n > 3 (N+1 minimum) Most constrained resource (CPU, RAM, IO) ≤ 70% in normal conditions Separation of Non Production and Production VMs between clusters VMs per cluster ≤ 400 VMs per storage devices ≤ 500
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Technologies VMware VI 3 - ESX 3.5 –vCenter, HA, DRS, vMotion, Storage vMotion Intel Xeon Series 7400 processors IBM System x3850 M2 NetApp FAS 6080 Cisco 10 Gigabit Ethernet
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Cisco Technology Highlights and Futures Unified Computing System –Memory expansion - cheap DIMMs –Network Unified policy management (physical and virtual) Increased IO throughput, Integrated Nexus 1000 –Management complexity reduction Unified/aggregated control points –Energy efficiency Decreased physical components Lower aggregate power consumption Nexus 1000, 5000, 7000 –Unified fabric Data center Ethernet FCOE –Cabling reduction –Throughput improvements –Reduced management complexity Intel Xeon 5500 Series with UCS 48 DIMMs Max 384GB per Blade Benefit 4x capacity Lower costs Standards DIMMs, CPUs, OS Cisco UCS Memory Each DIMM the CPU looks for is made of 4 standard DIMMs Xeon 5500
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Key learning's to date Cost of mitigating growth through virtualizing existing infrastructure 25% cost of building new capacity Existing server virtualization (P2V) can be managed centrally –Funded centrally can provide upside to business units –Leverage professional services Growth virtualization is a behavior change –Requires business buy in or mandate –Requires changes in allocation/charge back –Over communicate, Publicity, fame and shame all work Failure domain/scope management is crucial Manage bandwidth and IOps Watch the economics of RAM : Core ratio
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Green IT makes sense $300,000,000+ Savings 25 Square Miles of Forrest +
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