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IT is Stuck
Source: Goldman Sachs
40%
35%
30%
25%
20%
15%
10%
5%
0%
7% 7% 7%
36%
22%
8%
13%
8%
12%
25%
32%
10%12%
Total IT Spending in 2014 Growth
More than10% lower
5-10% lower Down lessThan 5%
About the same
Up Less than 5%
5-10% higher
More than10% higher
% o
f R
espo
nden
ts
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)
14.7
18.4
20.5
21.6
24.8
20.5
Source: IDC
Innovation & New Projects only = 20%!
The Technology Can’t Keep Up
Performance is LaggingData is Exploding
Performance Data Protection
Data Efficiency Global Unified Management
Virtualization Changed Everything
4
Vision
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 cachingCloud gatewayWAN optimizationBackup applianceSSD 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 2.0 Enterprise
One/few custom “Super Apps”; is the business
Infrastructure:Raw and “Dumb”
Resources
“Super Apps” Providetheir own Enterprise
Capabilities
Hundreds of Apps insupport 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 SharedStorage Array
Local StorageESXi
VM
Local StorageESXi
VM
VM VM
WAN Optimization
DeduplicatedDisk Backup Appliance
Cloud Gateway SSD Array
SSD Cache
SSDSSD
Local StorageESXi
VM VM
Local StorageESXi
VM VM
SSDSSD
SSDSSD SSDSSD
Public Cloud
Data Protection Apps
1.Data Protection2.Data Efficiency3.Performance4.Global Unified
Management
Enterprise Capabilities
Data Protection Apps
RemoteDatacenter
Traditional SharedStorage Array
Leading to Massive Complexity
7
RemoteDatacenter
Cloud Gateway
OmniCube
SSDSSD
Cisco UCS
ESXi
Local Storage
SSDSSD
ESXi
Local StorageESXi
Local Storage
SSDSSD
ESXi
VM VM VM
VM VM VM
Public Cloud
Cisco UCS
ESXi
VMVM
VMVM
VM
VMVM
VMVM
VM
Traditional SharedStorage Array
SSDSSD
Data Protection Apps
SSD Cache
SSD Array
DeduplicatedDisk Backup Appliance
WAN Optimization
Cisco UCS
SSDSSD SSDSSD
ESXi
VM VM
VM VMSVT SVTSVT
Traditional SharedStorage Array
SSDSSD SSDSSD
SVT
Data Protection Apps
Enterprise Capabilities
1. Data Protection2. Data Efficiency3. Performance4. Global Unified
Management
Cloud Economics
1. Low Cost2. x86 Resources3. Scale-out
The Best ofBoth Worlds
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 MarketFaster
The Best ofBoth Worlds
Reduce Cost
IncreaseEmployee Productivity
Increase Operational Efficiency
14.7
18.4
20.5
21.6
24.8
20.5
3x 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 Consolidation6
Mission-Critical Applications7
Continuous Data Monitoring / Analytics8
Virtual Desktop Infrastructure (VDI)9
Cloud10
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
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