Increase productivity, efficiency and environmental savings by eliminating silos, preventing sprawl and reducing complexity by 50%. Using powerful consolidation systems, Hitachi Unified Storage or Hitachi NAS Platform, lets you consolidate existing file servers and NAS devices on to fewer nodes. You can perform the same or even more work with fewer devices and lower overhead, while reducing floor space and associated power and cooling costs. View this webcast to learn how to: Shrink your primary file data without disrupting performance. Increase productivity and utilization of available capacity. Defer additional storage purchases. Save on power, cooling and space costs. For more information please visit: http://www.hds.com/products/file-and-content/network-attached-storage/?WT.ac=us_inside_rm_htchunfds
Consolidate More: High Performance Primary Deduplication in the Age of Abundant Capacity
1. CONSOLIDATE MORE: HIGH-
PERFORMANCE PRIMARY
DEDUPLICATION IN THE AGE
OF ABUNDANT CAPACITY
YONG KIM, TECHNICAL DIRECTOR,
AMERICAS FILE AND CONTENT
SOLUTIONS
2. Increase productivity, efficiency and environmental savings by eliminating silos,
preventing sprawl and reducing complexity by 50%. Using powerful consolidation
systems â Hitachi Unified Storage or Hitachi NAS Platform â lets you consolidate existing
file servers and NAS devices onto fewer nodes. You can perform the same or even more
work with fewer devices and lower overhead, while reducing floor space and associated
power and cooling costs.
Attend this webcast to learn how to
ï§ Shrink your primary file data without disrupting performance.
ï§ Increase productivity and utilization of available capacity.
ï§ Defer additional storage purchases.
ï§ Save on power, cooling and space costs.
CONSOLIDATE MORE: HIGH-PERFORMANCE PRIMARY DEDUPLICATION
IN THE AGE OF ABUNDANT CAPACITY
WEBTECH EDUCATIONAL SERIES
3. UPCOMING WEBTECHS
ï§ Cloud and Object Store Series
â Environmental Pressures Driving an Evolution in File Storage, April 3, 9
a.m. PT, noon ET
ï§ Big Data Webcast Series Continues
â Big Data: Shining the Light on Enterprise Dark Data, April 17, 9 a.m. PT,
noon ET
â HDS Big Data Roadmap, May 1, 9 a.m. PT, noon ET
Check www.hds.com/webtech for
ï§ Links to the recording, the presentation, and Q&A (available next week)
ï§ Schedule and registration for upcoming WebTech sessions
4. CUSTOMER CHALLENGES
Reduce the
cost of
storing data?
Reduce the
cost of
protecting
data?
Manage
distributed IT
more
effectively?
Mitigate data
risk?
Gain IT
agility?
How
do I
Do more with
less?
Archive first
Back up less
Consolidate more
5. TIE IT ALL TOGETHER
EDGE
STORAGE
ALTERNATE DATA
CENTER
REMOTE
OFFICE
APPLICATION APPLICATION APPLICATION
HDDS
SEARCH ACROSS
THE POWER OF THE PORTFOLIO
Reduce the
cost of
storing data
Reduce the
cost of
protecting
data
Do more with
less
Back up
less
Consolidate
more
Reduce overall storage costs by reducing the load on primary storage by at least 40%
Reduce licensing and management cost, complexity and backup by up to 75%
CLOUD
STORAGE
MOBILE
WORKFORCE
HUS
FILE
MODULE
6. TIE IT ALL TOGETHER
EDGE
STORAGE
ALTERNATE DATA
CENTER
REMOTE
OFFICE
APPLICATION APPLICATION APPLICATION
HDDS
SEARCH ACROSS
THE POWER OF THE PORTFOLIO
Reduce the
cost of
storing data
Reduce the
cost of
protecting
data
Do more with
less
Consolidate
more
Streamline backup and restore operations by 50-60%
Improve reliability with >24x improvement in RPO, >30x improvement in RTO
Simplify management, improve data protection and reduce risk
CLOUD
STORAGE
MOBILE
WORKFORCE
HUS
FILE
MODULE
7. TIE IT ALL TOGETHER
EDGE
STORAGE
ALTERNATE DATA
CENTER
REMOTE
OFFICE
APPLICATION APPLICATION APPLICATION
HDDS
SEARCH ACROSS
THE POWER OF THE PORTFOLIO
Reduce the
cost of
storing data
Reduce the
cost of
protecting
data
Do more with
less
Simplify management, improve data protection and reduce risk
Reduce or eliminate CAPEX, simplify management, offload data from primary storage
CLOUD
STORAGE
MOBILE
WORKFORCE
HUS
FILE
MODULE
8. DATA GROWTH CONTINUES UNABATED âŠ
ï§ Data growth: Doubling every 18 months
â Unstructured data (files) growing even faster
ï§ Worldwide data creation exceeded 1
zettabyte in 2010 for the first time
ï§ 40% projected growth in global data
generated per year vs. 5% growth in global
IT spend *
9. ⊠FAR LESS OF THE DATA IS UNIQUE
ï§ 75% duplicate data (IDC)
ï§ 80% (McKinsey Global Institute)
10. DATA DEDUPLICATION
ï§ A storage-optimization technology
â Compression, SIS
ï§ Reduces data by eliminating multiple copies of redundant
data and only keeping unique data
ï§ First made popular for backup (secondary) devices, the
technology has been extended to support primary
storage
WHAT IS IT?
11. DATA DEDUPLICATION
ï§ Challenge for companies today continues to be the cost and
associated cost of storage
Data storage
ï§ Optimizing data in place, and reducing the on-disk footprint of data as
it is stored provides immediate savings in capacity and new disk
expenditures
ï§ Drive down the cost per gigabyte â store more information in the
same gigabyte
Data management
ï§ Reduces the volume of data that needs to be managed
ï§ Reduces the frequency of backups
BUSINESS AND CUSTOMER BENEFITS
13. WHAT MARKET RESEARCH FIRMS ARE SAYING
â⊠the percentage of deployments with must-
have primary dedupe ârequirementsâ will reach
anywhere from 5% (conservative) to 22%
(aggressive) by 2015â
15. DEDUPE IN ACTION
Owner: Steve
File Name: homesteveworkReport.doc
Size: 15 4K blocks
Owner: Paul
File Name: homepaulproforma.xls
Size: 5 4K blocks
Owner: John
File Name: homejohntmpMyReport.doc
Size: 17 4K blocks
Owner: Mary
File Name: homemarySteveReport.doc
Size: 17 4K blocks
Without Dedupe
54 4K Blocks Consumed
With Dedupe
Only 24 4K Blocks Consumed
30 4K Blocks (> 50%) Reclaimed
16. HITACHI NAS PLATFORM (HNAS)
DEDUPLICATION OVERVIEW
ï§ Leverages HNAS unique hybrid core technology
â Indexing engine via CPU
â VLSI/FPGA technology
ï§ SHA256 hash of a data block detect duplicate
ï§ Up to 4 SHA calculators running in parallel
ï§ Post-processing
â File system data is analyzed and processed for dedupe after it is
written to disk
â Not in data path â no risk of losing or being unable to access data
ï§ Dedupe index is used to store and identify duplicate
blocks in a file system
17. ITâS ALL ABOUT POINTERS
ï
ï
ï§ Maximum (in theory)
dedupe ratio is 239:1
â A HNAS block can be
shared up to 239 times
â For example, 478
duplicate blocks
dedupe down to 2
blocks
âŠ
19. COMPETITIVE DIFFERENTIATION
ï§ Extreme performance
â Up to 450MB/sec post-ingest throughput rate
ï§ Dynamic quality of service (QoS)
â Avoid impacting application I/O
â Less degradation on I/O Performance
ï§ Simple to use
â Not a hardware appliance
â Little to no administration required
20. QOS / THROTTLING MECHANISMS
ï§ Automatic background
process
â No complex scheduling
process
â 24/7 operation
â No disruption to workflow
ï§ QoS/auto throttling
â When the file serving load
passes beyond 50% (of
available IOPS or throughput
capacity), the engine throttles
back
21. RESULTS FROM A LEADING MANUFACTURER
REAL-WORLD RESULTS
âThe current HNAS algorithm appears to be far better than
others (competitors) testedâ
22. TIE IT ALL TOGETHER
EDGE
STORAGE
ALTERNATE DATA
CENTER
REMOTE
OFFICE
APPLICATION APPLICATION APPLICATION
CLOUD
STORAGE
HDDS
SEARCH ACROSS
THE POWER OF THE PORTFOLIO
Reduce the
cost of
storing data
Reduce the
cost of
protecting
data
Do more with
less
Archive
first
Back up
less
Consolidate
more
The intelligent archive is the strong foundation of the
21st Century data center
24. UPCOMING WEBTECHS
ï§ Cloud and Object Store Series
â Environmental Pressures Driving an Evolution in File Storage, April 3, 9
a.m. PT, noon ET
ï§ Big Data Webcast Series Continues
â Big Data: Shining the Light on Enterprise Dark Data, April 17, 9 a.m. PT,
noon ET
â HDS Big Data Roadmap, May 1, 9 a.m. PT, noon ET
Check www.hds.com/webtech for
ï§ Links to the recording, the presentation, and Q&A (available next week)
ï§ Schedule and registration for upcoming WebTech sessions