Enterprises face many challenges when it comes to storage. Data volumes are exploding, increasing the cost of storage and the headaches of storage management. The rise of Big Data means more data is being collected and mined than ever before – 90% of the world’s data has been created in the last two years. Enterprise data is expanding at 20% per year or more. It’s not surprising that IT leaders are looking for new storage architectures to help them solve their scalability problems and reduce their costs.

1. Simon
Robinson
Research
Vice
President,
Storage
Simon.robinson@451research.com
@simonrob451
1
Paul
Turner
Chief
MarkeAng
Officer,
Cloudian
pturner@cloudian.com
hEp://www.cloudian.com
SimplificaAon
of
Storage
–
The
Hot
and
Cold
of
It
May
22,
2014
(9am
Pacific;
Noon
Eastern)

2. Agenda
2
q Introductions
q The changing IT Landscape
q The biggest disruption ever is happening in Storage
q Storage simplified – Hot Flash and Cold Capacity Storage
q New architectures for Capacity Storage
q Ecosystem Applications adopt Capacity Storage – OpenStack,
CloudStack, Amazon AWS, Hadoop

3. Our
Speakers
3
Paul Turner leads marketing, product planning and strategy at Cloudian. A storage industry expert, he
joined Cloudian from NetApp where he ran the Product Strategy Office , guiding their investments into
FlashRay,Iongrid and CacheIQ. Prior to that role, he was the General Manager of the OnCommand
Insight Business (which included Onaro and Akorri). Paul has more than 23 years of development and
management leadership, including 15 years at Oracle.
Simon Robinson runs the Storage and Information Management practice at 451 Research. He
manages a team of analysts that help 451 clients understand the impact of information growth and
management on organizations. Based in London, Simon joined 451 Research in 2000, and helped
develop the firm's storage industry practice. Prior to joining 451 Research, Simon was a senior
reporter and editor at UK tech publications house VNU, and also worked on the City Desk at the UK's
Press Association.

4. The
451
Group
Company
Overview
§ 270+
Staff
§ One
company
with
3
Go
to
Market
Brands
§ Syndicated
research,
cerAficaAon,
accreditaAon,
and
advisory
services
§ Global
Events
§ 1,500+
client
organizaAons:
enterprises,
vendors,
service
providers,
and
investment
firms
§ Organic
and
growth
through
acquisiAon
4

5. About Cloudian
• Hybrid cloud storage startup in Silicon Valley
– Strong venture backing: Goldman Sachs, Intel Capital
– Solid management team with storage, big data, enterprise software and
telco expertise
– 50 employees, offices in Foster City, Japan and China
• Production hardened product
• Target market: mid- to large-enterprises & regional service providers
• GTM: traditional storage distribution/VARs
55/22/14
CLOUDIAN PARTNERS

6. 6
We
are
living
through
an
era
of
disrupAon…
1.
Enormous
pressure
to
do
‘more
with
less’
2.
Movement
to
IT-­‐as-­‐a-­‐Service
3.
Major
shigs
in
end-­‐user
compuAng
4.
Secular
changes
in
IT
supplier
market

7. Meanwhile:
in
the
storage
trench…
99
Problems
7
“
We
have
ever-­‐increasing
demand
without
an
ever-­‐increasing
budget.”
“
The
part
that
pains
me
the
most
is
storage
migraAons.
It
takes
outages
to
move
data.”
“We’re
constantly
fighAng
to
size
storage
appropriately
for
the
term,
the
life,
we
lease…
not
having
to
purchase
more
storage
or
make
huge
changes
halfway
through
the
lease.”
“
Data
sprawl
–
it’s
growing
and
growing.
We've
been
handing
out
terabytes
like
candy.”
“
TroubleshooAng
–
every
Ame
an
app
has
a
performance
issue,
the
‘SAN’
is
blamed.”
“
Backup
is
a
perennial
problem.
Never
enough
Ame.”
“
We
do
a
terrible
job
of
archiving
data
–
we
keep
everything.”
“
Performance
is
a
whack-­‐a-­‐mole
problem
–
we
have
to
choose
where
the
boEleneck
is.”
“Managing
the
various
storage
‘islands’
is
a
challenge.”
“We
are
always
just
trying
to
keep
what
we
have
up
and
running.”

8. Poll
QuesAon
8

9.
Dealing
with
data
growth
sAll
the
#1
pain
point
in
storage
What
are
your
top
storage-­‐related
pain
points?*
1H
’12,
n=249;
1H
’13,
n=260.
*Note
that
due
to
mul;ple
responses
per
interview,
totals
may
exceed
100%.
Source:
Storage
–
Wave
17
6%
6%
11%
11%
14%
15%
19%
20%
21%
45%
3%
6%
8%
8%
16%
12%
26%
13%
27%
56%
Lack
of
Skilled
Staff
SupporAng
Server
VirtualizaAon
Data
Hoarding
Storage
Provisioning
and
Management
Backup
Management
MigraAons
and
Technology
Refreshes
Storage
ForecasAng
and
ReporAng
Delivering
Storage
Performance
High
Cost
of
Storage
Rapid
Capacity
Growth
1H
'12
1H
'13

10. Not
only
more
data,
but…
…more
devices,
and
‘things’
…more
unstructured
data
…more
data
copies
…in
more
places
…more
lawsuits
and
regulaAon
…and
keep
everything
forever!

11. Storage
Infrastructure
reaches
breaking
point
§ EssenAally
unchanged
over
the
last
15
years
§ An
‘Accidental
Architecture’
has
emerged;
fragmented,
complex
§ Cost
of
management
is
spiraling
out
of
control
§ Dealing
with
data
growth
is
a
constant
number
1
pain
point
§ VirtualizaAon
‘breaks’
tradiAonal
storage
§ New
breed
of
cloud/mobile
apps
placing
fresh
demands
on
storage
§ Budgets
flat
to
down
(do
more
with
less)
11
TIME
FOR
A
DIFFERENT
APPROACH!

12. Emergence
of
a
two-­‐Aer
enterprise
storage
architecture
12
Bigger
§ For
cool/cold
data
§ Object-­‐based
§ Scale-­‐out
(mulA-­‐PB)
§ Sogware-­‐centric
§ Cloud-­‐compaAble
Faster
§ For
‘hot’
data
§ Flash-­‐opAmized
§ IOPS-­‐centric
§ VM/VDI
opAmized
§ Variety
of
approaches

13. Impact
on
Storage
–
so
how
is
it
changing?
Flash
will
be
everywhere:
§ Host-­‐based
§ As
a
Aer
in
hybrid
arrays
§ All-­‐Flash
Arrays
13
Flash
–
Saviour
of
the
(storage)
Universe!
But
this
is
just
star@ng
point:
§ Emergence
of
new
‘ground
up’
architectures
that
aim
to
enable
scale,
reduce
complexity,
increase
efficiency
etc.
§ The
era
of
VM-­‐centric,
cloud-­‐integrated
storage
is
dawning
§ Flash
adopAon
will
have
knock-­‐on
effects
elsewhere
in
the
storage
infrastructure…

14. Object
Storage:
A
plaxorm
for
the
petabyte
era
Scale-­‐out
Storage
§ Aimed
at
mainstream
enterprise
§ MulA-­‐protocol
storage
§ Higher
performance
§ Sogware-­‐only
§ Open
source
emerging
14
Cloud
Storage
Big
Content
Scale-­‐out
Storage
Big
Content
§ Aimed
at
digital
content
industries
§ Dig
Archive/repository
§ Object-­‐only
§ Geo-­‐dispersal/EC
§ Lowest
$/GB
§ Delivered
as
hw
appliance
§ ‘Big
Game’
market
–
large
ASPs
Cloud
Storage
§ Aimed
at
xSPs
§ Storage-­‐as-­‐as-­‐service
§ SWIFT/S3
API
compaAbility
§ Sogware-­‐only
§ Open
source
dominates
today

15. Poll
QuesAon
15

16. EvoluAon
to
a
two-­‐Aer
storage
architecture
Many
cloud
plaIorms
already
built
on
such
a
design
point
§ Eg
Amazon
Web
Services
–
EBS
and
S3/Glacier
§ Eg
OpenStack
–
Cinder
and
Swig
§ Simplify
automaAon,
enable
hardware
standardizaAon,
reduce
cost
§ Span
on-­‐prem
and
third
party
faciliAes
(hybrid
cloud)
Which
data/applica@ons
suit
this
model?
§ Gradual
drip-­‐feed
of
data/applicaAons
vs
wholesale
migraAon
§ Web,
cloud,
and
mobile
apps
developed
for
‘cloud
first’
§ Backup
and
archive
data
(incl.
tape
replacement)
§ File
synch/share
and
collaboraAon
§ ‘Aer
2’
NAS
§ Plaxorm
as
a
Service
(OpenStack,
CloudStack)
16

17. ImplemenAng
Capacity
Storage
Flexibility
Mobility
Scale
Reliability
Object
Storage
Cloud
AND
Cloudian
Hybrid
Cloud
Storage

18. Poll
QuesAon
18

19. 19
Scale-­‐out
Distributed
Ring
5-14
Logical
ring
Data
is
automa@cally
replicated
to
mul@ple
nodes.
Loca@on
of
data
can
be
designated,
for
instance,
to
mul@ple
datacenters
and
per
rack.
DC1
DC2
In
theory,
#
of
nodes
in
a
logical
ring
can
be
up
to
2127
(almost
infinite).
Data
load
can
be
rebalanced
when
a
node
is
added
or
removed.
NOSQL
database
distributes
and
replicates
data

20. 20
OpAmized
for
Any
Data
Type/Workload
• Policies
tailored
for
different
object
types
• OpAmized
for
all
data
• Chunking
for
beEer
performance
• Erasure
Coding
for
deep
archive
efficiency
• Reliable
Storage
across
mulA-­‐
node
failures
• Seamless
Public
Cloud
Integrated
HyperStore
Patent Pending
Small
objects
Large Objects
Active Content
File System
NOSQL DB
Erasure Coding
Deep
Archives
S3
NFS
S3 Tier

21. 21
ApplicaAon
Eco-­‐system
re-­‐writes
to
the
new
2Tier
Storage
21
Bigger
§ For
cool/cold
data
§ Object-­‐based
§ Scale-­‐out
(mulA-­‐PB)
§ Sogware-­‐centric
§ Cloud-­‐compaAble
Faster
§ For
‘hot’
data
§ Flash-­‐opAmized
§ IOPS-­‐centric
§ VM/VDI
opAmized
§ Variety
of
approaches

22. What
to
look
for
in
your
Capacity
Storage
OpAons
q Storage
for
any
Workload
(Erasure
Coding,
Replicas)
q OpAmized
for
Small
and
Large
Files
q MulA
Data
Center,
MulA
Site
Deployment
q Regional
Awareness
and
Locality
q MulA-­‐Tenancy
and
Chargeback
q Secure
EncrypAon
of
your
data
q Public
Cloud
Integrated
q Supports
Many
ApplicaAons
(S3)
22

23. What
to
look
for
in
your
Capacity
Storage
OpAons
ü Storage
for
any
Workload
(Erasure
Coding,
Replicas)
ü OpAmized
for
Small
and
Large
Files
ü MulA
Data
Center,
MulA
Site
Deployment
ü Regional
Awareness
and
Locality
ü MulA-­‐Tenancy
and
Chargeback
ü Secure
EncrypAon
of
your
data
ü Public
Cloud
Integrated
ü Supports
Many
ApplicaAons
(S3)
23

24. 24
Conclusion
• Storage
is
changing
–
Object
Storage
and
Flash
will
dominate
• This
Simplified
2Tier
storage
architecture
helps
overall
IT
agility
• Object
Storage
and
Cloud
provides
the
scale-­‐out
capacity
layer
Next
Steps
• IdenAfy
ApplicaAons
which
can
take
advantage
of
Capacity
Storage
• Data
Intensive
:
Backup,
Archiving,
Mobile
File
Sharing,
Distributed
Shares
• New
ApplicaAons
:
OpenStack,
CloudStack,
Hadoop
• Try
it
out
• HyperStore
Free
hEp://www.cloudian.com/community-­‐ediAon.php
• Ask
us
for
Trial
sales@cloudian.com

25. QuesAons?
Simon
Robinson
Research
Vice
President,
Storage
Simon.robinson@451research.com
@simonrob451
25
Paul
Turner
Chief
MarkeAng
Officer,
Cloudian
pturner@cloudian.com
hEp://www.cloudian.com