This document discusses HyperGrid's approach to hyperconverged infrastructure and DevOps. Some key points include: - HyperGrid believes IT should be consumed rather than purchased, and workloads should run anywhere on any infrastructure. - CIOs are under pressure to innovate but face challenges reducing costs and gaining more agility. - HyperGrid offers a simplified, predictable hyperconverged platform using all-flash nodes that provides affordable infrastructure with lower TCO, simplicity, and powerful performance. - It integrates a virtual controller for end-to-end I/O management and supports DevOps use cases like hybrid cloud, VDI, databases and big data. - HyperGrid provides analytics, quality of

1. James Peck
Senior Technical Consultant

2. 1
Core HyperGrid beliefs
• IT should be consumed, not purchased
• IT consumption should be seamless across Cloud or on-premises
• A workload should run anywhere, anytime or on any infrastructure
• Developers are the main influencers of buying decisions around IT
infrastructure and tools
• CIO’s want governance and control for IT OPS and flexibility and agility
for Developers

3. 2
Reduce operational costs
93%
Lack necessary skills
52%
Needs more agile
infrastructure
87%
CIOs under pressure to innovate but face headwinds
Source: Harvey Nash CIO survey 2015
PROPRIETARY AND CONFIDENTIAL

4. “Traditional infrastructure is oppressive”
Do-it-Yourself
Traditional
Infrastructure
Converged
Infrastructure
Hyper-Converged
Infrastructure
 Reduces Cost and Risk
 Reduces Time to Deploy and complexity
 Increases Efficiency, Scale and Agility
 Performance Gains
 Complex
 Inflexible
 Blended I/O
 No Application Control

5. 4
Costly / fully loaded rates
and management
Data Locality
Lock in
IT Ops
PROPRIETARY AND CONFIDENTIAL
Shared Platform
Performance

6. 5
DevOps adopted to accelerate innovation
Planning to use
Continuous
Integration and
Deployment
54%
Less Than 1 Week to
Push New Code to
Production
68%
Percent of workloads
deployed in a cloud
10% 20% 30% 40%
2016
2017
2018
2019
2020
2021
Source: Harvey Nash CIO survey 2015, Atlassian survey
PROPRIETARY AND CONFIDENTIAL

7. 6PROPRIETARY AND CONFIDENTIAL
IT Ops
Cloud
Serviceticket
Managerapproval
Storageadmin
Virtualizationadmin
Network
admin
Weeks to Months!
What happens today
?
APPAPP
Instantaneous!
APPAPP

8. 7
Simplified, Predictable HyperConverged Platform
7
Affordable.
Less Infrastructure & Lower TCO.
Simple.
Scaling and Management.
Powerful.
All-Flash User Experience.

9. 8
Start Small – Building Block Approach
4 x Flash Converged Nodes (FCN’s) per Block
All-Flash HyperConverged.
2U
4 Nodes
Per Block
Up to 112
Compute
Cores
Up to 92TB
All-Flash
Storage
1. Avg. Server VM = 4GB RAM, 2 vCPUs, 100 GB VHDXs
Configurable Per 4 Node Block
Compute Cores 48 | 64 | 80 | 112
Compute RAM 256 to 4TB (64GB to 1TB per node)
Network 8 | 16 x 10GbE (Data), 4 x 1GbE (Mngt)
SSD Capacity eMLC SSD – 23TB | 46TB | 92TB
Storage IOPS 200,000+ - 8k Random

10. 9
The difference between
Tradition and All-Flash
Hyper-converged.
75%Less
Space | Power | Cooling1
5X
Faster VMs
65%
Lower Cost VM1
All-FlashHCI
Breakthrough VM Density, Performance, Cost
TraditionalInfrastructure
1: Full Stack Cost - Includes All Required Compute, Storage, Hypervisor and VDI Software.
VCE Vblock 340. Avg. Desktop VM = VSI Login Medium Desktops.
1,500VMs @ $1,7081

11. 10
Integrated Virtual Controller
Solution Intelligence:
VM aware for I/O Tagging, I/O Smoothing and
Block level optimization
Simple configuration:
End to End I/O management with no more
iSCSI or FC
SCSI Block Kernel Device:
Hypervisor integration
High performance with lowest overhead.
Simple, Light weight and powerful

12. 11
Parallel Flash I/O – Inline Erasure Encoding
Inline Erasure Encoding
 Divides I/O instead of Multiplies (Replicates)
 Configurable Fault Tolerance to N+X nodes
 N Data Fragments + X Parity Fragments
 Automated Self-Healing
 50% reduction in I/O, CPU, RAM, Network
Increased Performance Whilst
Reducing Infrastructure by 50%.

13. 12
DevOps HyperGrid Use Cases
Hybrid Cloud Custom apps VDI
DB consolidation ROBO Big Data

14. 13
Management and
Workload Control

15. 14
Analytics and Management
Understanding Workloads
 End to End environment monitoring
 Real time and Historic data
 Monitor
 I/O
 Latency
 Throughput
 CPU Usage
 Memory Usage
 Bandwidth Usage
 Identify Hot Spot’s
 Live Migration
 SC-VMM/SC-OM

16. 15
QoS – Performance where it matters
Are all workloads equal?
 Protocol Isolated I/O per VM
 Performance classification per VM
 No more ‘Fair Use Policy’
 No more ‘Noisy Neighbor’
 Guaranteed IOPS per VM

17. 16
Commercial Delivery

18. 17
Three models for HCIaaS consumption
What’s
included
Consumption
• Benchmark app usage
• Meter monthly, true up
annually; minimum 1
year contract
• Scale up and down
• All inclusive hardware,
software and support
Subscription
• 3-year renewable
contract “all-in” for
software, hardware and
support
• Scale up and down
• No forklift upgrades
Partner MSP
• Services delivered by
MSP running HCIaaS
• 1 to 3-year renewable
contracts
• Scale up and down
• No forklift upgrades
PROPRIETARY AND CONFIDENTIAL

19. 18
Monthly consumption billing provided
HGUs

20. 19
DevOps, Self Serve I.T
and Containers

21. 20
Hyperform Self Serve and DevOps
Automation and Orchestration?
 Multi-Tenant Self Serve
 Multi-Cloud management
 Governance
 Entitlements
 Approvals
 Quota
 Visibility

22. 21
Provision Cloud Resources Model Apps Run
Hyperform Cloud Fabric

23. 22
Switch IT On

24. 23
2016 Forrester Wave rates HyperGrid as Strong Performer
• Recognized for emerging
market leadership
• Rated among the top 5 HCI
vendors in a space with large
number of players
• Ranked higher than VMWare,
EMC, HPE, Cisco and others
Source: The Forrester Wave™: Hyperconverged Infrastructure (HCI), Q3 2016
CONFIDENTIAL AND PROPRIETARY FOR INTERNAL USE ONLY