The document outlines the challenges and solutions related to cloud storage performance, highlighting the need for consistent and scalable storage solutions in enterprise IT. It introduces Databarracks and SolidFire's innovative approaches, including guaranteed quality of service (QoS) and in-line data reduction, to address performance inconsistencies and scale effectively. The authors, Tim Pitcher and Mark Thomas, emphasize the importance of performance-sensitive applications in the cloud and the advantages of their all-flash storage systems.

1. Demonstrating how to
keep your cloud
performance consistent

2. WHO WE ARE
Tim Pitcher
Mark Thomas
Vice President, International
Solutions Architect
Responsible for expanding SolidFire's presence
globally. Tim has significant international
experience, most recently serving as Senior
Director of Global Account Storage at Hewlett
Packard after its acquisition of 3PAR and was VP
of global accounts and VP of Northern Europe for
NetApp.
Formerly Director of Cloud Professional
Services, EMEA at Virtustream, Mark is the
Solutions Architect at Databarracks. An expert
in cloud technology, data centre infrastructure
and virtualisation, Mark has worked with major
clients such as HSBC, Field Fisher Waterhouse
and Allied Irish Bank.
www.databarracks.com | 2

3. About Databarracks
Secure & Compliant
• Nuclear bunker data centre,
certified & accredited
High Performance & Flexibility
• Pedigree and understanding
of storage
www.databarracks.com | 3

4. Databarracks customers
www.databarracks.com | 4

5. About SolidFire
• Storage systems built for the next generation data center
• All-flash architecture, with volume-level Quality of Service (QoS)
controls
• Guaranteed storage performance to thousands of applications
within a shared infrastructure
• In-line data reduction techniques and system-wide automation for
capital and operating cost savings relative to traditional storage
systems
www.databarracks.com | 5

6. The cloud storage
problem

7. 67%
Of all workloads
will be run in the
cloud by 2016
$150
B
In total cloud
revenue By 2016
Up from $46b in 2008

8. 5x more
Growth in cloud than
in
Traditional I.T.
through 2016
$12.2b
In public cloud
storage sales in
2016
Up from $5.6b in 2012

9. The Cloud Evolution
Cloud today
Performance Sensitive Apps
$$$
Early cloud
Applications
Med
Test / Development
Backup / Archive
Startups
•
•
•
•
•
$
Cloud 1.0
High Performance
QoS / Hard SLAs
Massive scale
Reliability
Security
Cloud Evolution
IOPS
$$
High
Oracle / SAP / Private Cloud
Hadoop / NoSQL
MS Exchange, VDI
ERP,CRM
Low
Cloud 2.0
www.databarracks.com | 9

10. Why don’t
you run
performance
apps in the
cloud?
• Current storage architectures delivers inconsistent and
variable performance (‘noisy neighbour’ effect)
• Inability to efficiently scale performance
• Unable to throttle performance independent of capacity
• Low levels of transparency (no visibility into systems)
• Dedicated storage array costs are prohibitive
• Perception of unreliability
www.databarracks.com | 10

11. Enterprise IT
lacks storage
agility, and is
under
significant
pressure
• Deploy new applications and capabilities faster
• Provide more agile and scalable infrastructure
• Increase application performance and predictability
• Enable automation and end-user self-service
• Raise operational efficiency and reduce cost
www.databarracks.com | 11

12. Traditional
enterprise
storage falls
short of these
requirements
x Deploy new applications and capabilities faster
x Provide more agile and scalable infrastructure
x Increase application performance and predictability
x Enable automation and end-user self-service
x Raise operational efficiency and reduce cost
www.databarracks.com | 12

13. The Cloud
Needs Better
Storage
Performance
• Unable to manage performance independent of capacity
• Can not guarantee storage performance
Efficiency
• Low and inefficient utilization rates
• Lack of high performance in-line data reduction
Management
• Complex, manual, lacks automation
Scale
• Limited scalability of both capacity and performance
• Manage multiple islands of storage
www.databarracks.com | 13

14. Key
Differentiators
Guaranteed Quality of
Service (QoS)
Fine-grain performance
management on a per volume
basis
Complete
automation
REST-based API for
complete control
In-line
efficiency
Cloud
Scalability
In-line data reduction and 85%
utilization requires less
purchased capacity
Simultaneous scaling of both
capacity and performance
www.databarracks.com | 14

15. Demonstration:
How it actually works

16. www.databarracks.com | 16

17. Eliminating Noisy Neighbours
Tier 0
Noisy Neighbour
Tier 1
Decreased
Performance
Tier 2
Tier 3
The Noisy Neighbour Effect
Quality of Service in Practice
 Individual tenant impacts other applications
 Create fine-grained tiers of performance
 Unsuitable for performance sensitive apps
 Application performance is isolated
 Performance SLAs enforced
www.databarracks.com | 17

18. Predictability
Consistent storage
performance for
critical enterprise
applications
Flexibility
To scale. No Risk.
No Migrations.
QoS
Guaranteed
With SLA’s
££ Price
Dedicated Flash storage
performance with
a cloud priced
value proposition

19. SecureInstance™
100% reservation
x
Resources consumed
VM resource usage is constrained by
configuration. Fixed cost per VM configuration
100%
Fixed Cost
VM operates within
configured resources.
Baseline capacity
0%
VM A
Over time
www.databarracks.com | 19

20. SecurePool™
100%
x
100%
x
Reserved capacity
x
Resources consumed
Usage over time is aggregated.
PAYG
Reserved threshold can be moved to
adjust to standard business usage
100%
Fixed Cost
0%
0%
Client A
0%
VMs operate within configured
resources. Aggregate usage as
VMs peak and trough
Baseline capacity
Over time
www.databarracks.com | 20

21. Thank you