Simplification of storage - The Hot and the Cold of It

Simon Robinson Research Vice President, Storage [email protected] @simonrob451

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Paul Turner Chief MarkeAng Officer, Cloudian [email protected] hEp://www.cloudian.com

SimplificaAon of Storage – The Hot and Cold of It May 22, 2014 (9am Pacific; Noon Eastern)

Agenda

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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

Our Speakers

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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.

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

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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

5 5/22/14

CLOUDIAN PARTNERS

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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

Meanwhile: in the storage trench… 99 Problems

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“ 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.”

Poll QuesAon

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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

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!

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)

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TIME FOR A DIFFERENT APPROACH!

Emergence of a two-‐Aer enterprise storage architecture

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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

Impact on Storage – so how is it changing?

Flash will be everywhere: §  Host-‐based §  As a Aer in hybrid arrays §  All-‐Flash Arrays

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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…

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

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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

Poll QuesAon

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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)

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ImplemenAng Capacity Storage

Flexibility Mobility

Scale Reliability

Object Storage Cloud

AND

Cloudian Hybrid Cloud Storage

Poll QuesAon

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Scale-‐out Distributed Ring

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Logical ringData 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

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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 ObjectsActive Content

File System

NOSQL DB

Erasure Coding

DeepArchives

S3 NFS

S3 Tier

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ApplicaAon Eco-‐system re-‐writes to the new 2Tier Storage

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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

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)

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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)

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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 [email protected]

QuesAons?

Simon Robinson Research Vice President, Storage [email protected] @simonrob451

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Paul Turner Chief MarkeAng Officer, Cloudian [email protected] hEp://www.cloudian.com