Simplify IT with Hyperconvergence June 2015

IT is Stuck Source: Goldman Sachs 40% 35% 30% 25% 20% 15% 10% 5% 0% 7%7% 7%7% 7%7% 36% 22% 8% 13% 8% 12% 25% 32% 10% 12% Total IT Spending in 2014 Growth More than 10% lower 5-10% lower Down less Than 5% About the same Up Less than 5% 5-10% higher More than 10% higher % of Respondents 80% With Budgets Flat or Down “IT organizations continued to experience pressures to control spending and contain costs, emphasis has been shifting toward making investments that support business agility, revenue growth, and improved quality of service for end users. ” – IDC Percentage of Time Spent on Customary IT Tasks over a Given Week Q: Considering the following mix of tasks, over a given week, what percentage of total IT admin and operations staff time (across server, networking, and storage infrastructure) is spent on the following five general tasks? Monitoring, troubleshooting Provisioning, patching, and configuration Innovation and new projects New service request and approvals Vendor and internal meetings (% of respondents) Source: IDC Innovation & New Projects only = 20%!

The Technology Can’t Keep Up Performance is Lagging Data is Exploding Performance Data Protection Data Efficiency Global Unified Management Virtualization Changed Everything

Vision 4 Management Orchestration Hypervisor The Cisco Hyperconverged Future Is Now All IT infrastructure below the hypervisor Deployed Anywhere Will run on Cisco UCS Legacy IT Infrastructure Storage caching Cloud gateway WAN optimization Backup appliance SSD array HA shared storage Storage switch Servers Data Protection Apps OmniStack ™ & Data Virtualization Platform ™ Powered by

Web 2.0 and Enterprises Run Their IT Fundamentally Differently Enterprise Apps rely on Infrastructure for Enterprise Capabilities Web 2.0Enterprise One/few custom “Super Apps”; is the business Infrastructure: Raw and “Dumb” Resources “Super Apps” Provide their own Enterprise Capabilities Hundreds of Apps in support of the business Infrastructure: Enterprise-Grade Application Requirements 1.Protection & Availability 2.Performance 3.Data Efficiency (deduplication, compression, optimization) across all media, locations and the data lifecycle 4.Global Unified Management at the VM-level 5

6 Traditional Shared Storage Array Local Storage ESXi VM Local Storage ESXi VM WAN Optimization Deduplicated Disk Backup Appliance Cloud Gateway SSD Array SSD Cache SSD Local Storage ESXi VM Local Storage ESXi VM SSD Public Cloud Data Protection Apps 1.Data Protection 2.Data Efficiency 3.Performance 4.Global Unified Management Enterprise Capabilities Data Protection Apps Remote Datacenter Traditional Shared Storage Array Leading to Massive Complexity

Remote Datacenter Cloud Gateway OmniCube SSD Cisco UCS ESXi Local Storage SSD ESXi Local Storage ESXi Local Storage SSD ESXi VM Public Cloud Cisco UCS ESXi VM Traditional Shared Storage Array SSD Data Protection Apps SSD Cache SSD Array Deduplicated Disk Backup Appliance WAN Optimization Cisco UCS SSD ESXi VM SVT Traditional Shared Storage Array SSD SVT Data Protection Apps Enterprise Capabilities 1.Data Protection 2.Data Efficiency 3.Performance 4.Global Unified Management Cloud Economics 1.Low Cost 2.x86 Resources 3.Scale-out The Best of Both Worlds 7

Why does Hyperconvergence Matter? “ Decisions for technology investments have migrated from the data center to the boardroom, shifting from technology capabilities to Business Outcomes. ” – Forrester Reduce Cycle Time Go to Market Faster The Best of Both Worlds Reduce Cost Increase Employee Productivity Increase Operational Efficiency x CAPEX & OPEX Splunk>

9 Use Cases Remote Office Branch Office (ROBO) 1 Data Protection 2 Tech Refresh 3 Test / Dev / QA 4 Data Migration 5 Data Center Consolidation 6 Mission-Critical Applications 7 Continuous Data Monitoring / Analytics 8 Virtual Desktop Infrastructure (VDI) 9 Cloud 10

The Path to Hyperconvergence

Customer Commitment to SimpliVity >1/3 with 100:1 Data Efficiency 65% run 100% of IT Applications on SimpliVity 90% see 25% performance improvements

Key Requirements of Hyperconvergence 12 Hyper-Efficient Resources Up to 100:1 data efficiency while increasing performance Accelerator Card: deduplicate, compress, optimize all data, inline, at inception, once and forever, globally All x86 processors are reserved for production VMs instead of separate infrastructure applications All managed from a single pane of glass VM-centric management, policy, and mobility, globally Global Unified Management The Best of Both Worlds x86 cloud economics Enterprise capabilities: performance, data protection, data efficiency, global unified management Assimilate all IT below the Hypervisor Single shared resource pool from a single vendor The entire stack including native data protection

Thank You