SlideShare a Scribd company logo
1 of 46
Download to read offline
IBM Power Systems
and IBM Storage
Technical University
New Generation of
Storage Tiering:
Simpler Management,
Lower Costs and
Increased Performance
Tony Pearson
Master Inventor and Senior IT Architect,
IBM Corporation
Abstract
Confused on how to implement storage tiering between
Flash, Disk, Tape storage system resources?
This session will cover the various techniques and
technologies available.
2
This week with Tony Pearson
Day Time Topic
Monday 10:15am
Business Continuity – The seven tiers of business
continuity and disaster recovery
1:45pm IBM’s Cloud Storage Options
4:30pm
Introduction to IBM Cloud Object Storage System
and its Applications (powered by Cleversafe)
Tuesday 10:15am
The Pendulum Swings Back – Understanding
Converged and Hyperconverged Environments
11:30am
New generation of storage tiering: Simpler
management, Lower costs and Increased
performance
3:15pm
Introduction to IBM Cloud Object Storage System
and its Applications (powered by Cleversafe)
Wednesday
9:00am
IBM Spectrum Scale for Volume, File and Object
Storage
3
Is your data on the right storage tier?
• Requirements change over time
• Data owners are risk averse
• Users don’t see the total cost
• Rationing resources is unpopular
… but the biggest challenge has been:
• No objective way to determine what the
‘right tier’should be!
…so data stays on top tier storage
(expensive)
• Resources that should be spent on
innovation are wasted on infrastructure
inefficiencies
50-60%
Optimal Storage Tier Distribution
Tier 0
Tier 2
Tier 3
Tier 1
20-25%
15-20%
1-5%
-0 -1%
Typical Storage Tier Distribution
70%
Tier 0
Tier 2
Tier 3
Tier 1
4
Too Many Critical Storage Projects and…
No Budget to Implement
Top Storage Pain Points Top Storage Projects
How do I fix
these
problems? How do I fund
these
projects?
5
Storage Tiers –
A trade-off between performance and cost
Server
Cache, Flash
and Solid-State Drives
Hard Disk Drives
Automated Tape
Manual Tape
Faster
Performance
Lower
Cost
Technologies allow us to
place and move data to the
appropriate storage tier to
balance between
performance and cost
6
Four Fundamental Truths of Storage Tiering
• All data is not created equal
• Information changes in business
value and in service level
requirements over time
• IT resources should be allocated
according to the value of information
• Information must be managed throughout
its entire lifespan …
data outlives media
0
20
40
60
80
100
1 w 2 w 3 w 4 w 3 m 6 m 9 m 1 yr 2 yr 5 yr 10 yr
DataValue
Age of Data
Machine data
Email
EMR
Database
Surveillance Video
7
Tiered Information Environment
A tiered information environment aligns IT resources with
Business Value and Service Levels required
Best Practices
1. Align information with business
requirements to determine 3-5
Information Classes
2. Establish policies to map
information to a Class of Service
• Initial placement
• Subsequent movement
• Backups, archives, mirroring
• Disposal, destruction, deletion
3. Establish well differentiated
tiers of information infrastructure
associated with each service level
Mission
Critical
Business
Critical
Business
Operational
General
Business
app/
data type
Platinum Gold Silver Bronze
Infrastructure Classes
of Service
Information
Management
Characteristics
Client SW: Backup, Compliance, SRM, Storage Access, Replication
Device Mgmt SW: SAN hardware, Storage Arrays
Storage Virtualization
Storage Hardware: Disk, Tape, Storage Networking
Infrastructure / Tactical
Components
Policies & Governance
app/
data type
app/
data type
app/
data type
app/
data type
app/
data type
Policies / ISSC / Information Management
8
Introducing I/O Density – Performance
measurement
9
• For each LUN, the amount of IOPS is divided by
the amount of resident data
• IOPS = I/O (read/write) per second
• IO Density = IOPS per Terabyte of data for a given
volume
• What is I/O Density?
• I/O Density (IOPS/TB) provides a level-set view of
performance regardless of volume size allowing a
uniform unit of measurement for analysis
• IOPS and TB tend to grow at similar rates, keeping
IO Density constant for each application
• The I/O Density value is the peak value of the averages
taken for the hour or day, depending on the sampling
chosen (Daily, Hourly or Sample Average).
• Daily Average has thus far proven the most reliable
indicator of future re-tiering results
• Hourly Average useful for brief but intense high-demand
workloads
*
Note:
I/O Density can be
represented per TB
or per GB
700 IOPS/TB = 0.7 IOPS/GB
The Many Forms of Tiering – Single System
Optimization
Low-latency DRAM
and Flash
Solid State
Drives (SSD)
Enterprise Disk
(15K and 10K)
Nearline Disk
(7200 RPM)
Automated Tape
Libraries
FlashSystem V9000
with External Disk
DS8000 Disk System
SAN Volume Controller
Storwize
$$$
10
I/O Density for Different Disk Technologies
1000
700
500
100
10
1
146GB
15K
300GB
15K
600GB
10K
900GB
10K
3 TB
7200
4 TB
7200
73GB
15K
I/O Density
(IOPS / TB)
Spinning disks get larger
in capacity, but the overall
IOPS per spindle remains
constant, causing lower
I/O density
* Typical values, drives may vary
RPM IOPS/drive
15K 175-210
10K 125-150
7200 75-100
11
Automated Sub-LUN Tiering within Storage Array
Flash and
Solid-State Drives
Enterprise HDD
15K and 10K rpm
Nearline HDD
7200 rpm
Problem:
SSDs appear more expensive than traditional disks (per GB)
Without optimization tools, clients have been over-provisioning them
Administrators spend too much time monitoring, reporting, and tuning
tiers
Solution:
Three data relocation functions
that enable smart data
placement and movement to
optimize SSD deployments with
minimal costs
– Entire-LUN Relocation
– Sub-LUN Automatic
Movement
– Re-balancing Intra-Tier Extent
Pool
12
IBM Easy Tier®
• Pools can have mixed media
– Tier 0 (High Performance) Flash
– Tier 1 (High Capacity, Read-Intensive)
Flash
– Enterprise HDD (15K and 10K RPM)
– Nearline HDD (7200 RPM)
• Easy Tier measures and manages activity
– 24 hour learning period
– Every five minutes: up to 8 extents moved
• Hottest Extents moved up to faster tiers
• Coldest Extents moved down to slowest tiers
– New allocations placed initially on fastest HDD
• A small amount of Flash (as little as 2-3%) can
dramatically reduce response times and increase
IOPS throughput
• Storage Tier Advisory Tool can estimate
benefits of adding Flash before purchase!
Flash and SSD
Enterprise HDD
Nearline HDD
13
Flash and Solid State Drive Options – Tier 0 vs Tier 1
Tier 0 (High performance)
• Due to repetitive ‘write-erase’ cycles,
flash drives have a life span or ‘write-
endurance’
• Most current “write intensive" flash
drives have endurance that allows up
to 10-25 Drive Writes per Day
(DWPD)
• For example, with a 700GB flash
drive, you can write up to 7 TB on
that one drive in a day and
maintain the usable capacity for 5
years
Tier 1 (High Capacity, Read-Intensive)
• Flash drive vendors have engineered
a lower cost drive, qualified for up to
1-5 DWPD
• Often called “read intensive” (RI)
flash drives
• One DWPD drives can meet the vast
majority of workload demands
• IBM and competitors are
aggressively moving to all-flash
arrays with extensive use of read
intensive drives for competitive
reasons
Original (1050 GB)
Tier 0 – Sold as 700GB with extra … 350GB for 10 DWPD
Tier 1 – Sold as 1000GB …with only 50GB extra for 1 DWPD
14
Workload skew from different client environments
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60 70 80 90 100
Percentage of extents
ComulativePercentageofActivity
Mainframe1 - Small IOs Mainframe1 - MB Mainframe2 - Small IOs Mainframe2 - MB
Mainframe 3 - Small IOs Mainframe3 - MB Open1 - Small IOs Open1 - MB
Open2 - Small IOs Open2 - MB Open3 - Small IOs Open3 - MB
Nearline
Enterprise
SSD
Source: Internal IBM lab tests
15
Easy Tier Application Transaction Improvement
16
Application
Transactions
Easy Tier
Learning
Easy Tier
In Action
240% from
Original
brokerage
transaction
No change to
the database
or application
No work
required to
identify active
indexes or
I/O profiles
No manual
movement of
files or
volumes
Just turn it on
and let it
work!
16
Flash only
pool
Easy Tier
pool
HDD only
pool
ERP
FlashSystem
Storwize / XIV /
DS8000
Spectrum Virtualize
SCM SRM CRM BW
Production DB servers
Non-prod DB
servers
ERP SCM … … …
• Put DB with a high IO/s per TB
ratio on Flash only
• Put Production DB
on Easy Tier™ tiered storage
• Put Non-production DBs
on HDD only
Spectrum Virtualize storage pools
Best Practices – Three Pools
17
The Many Forms of Tiering – Datacenter Optimization
Low-latency DRAM
and Flash
Solid State
Drives (SSD)
Enterprise Disk
(15K and 10K)
Nearline Disk
(7200 RPM)
Automated Tape
Libraries
$$
$$$
IBM Spectrum Control
IBM Spectrum Virtualize
Datacenter
Optimization
18
Realize Cost-Savings through
Right-Tiering of Data Storage
19
Problem:
High-end disk arrays are expensive
Difficult to identify which data should be
moved
Manually re-locating LUNs is time-
consuming and disruptive
IBM Intelligent ILM Implementation Phases
1. Understand Client Data
2. Implement Tiering & Lifecycle Policies
TapeArchiveTier 3Tier 2Tier 1
3. Automate Lifecycle Management
• Analyze your data usage
patterns and provides
recommendations on how to
cost-effectively store your data
using storage tiers
• Define and implement storage
tiers with policies on where to
place your data initially and when
to move it based on its changing
business value
• Automate the movement of
your data, without disruption or
downtime, to lower cost storage
tiers based on pre-defined
policies and your business
priorities
20
Where Does Your Data Belong?
1000
700
500
100
10
1
I/O Density
(IOPS / TB)
Different data have
different I/O densities
Intelligent Information
Lifecycle Management
(IILM) Identifies the I/O
density of your existing
data to help relocate
data to more cost
effective storage
4%
Tier 0
>1000
2%
Tier 1A
700-1000
3%
Tier 1B
500-700
20%
Tier 2
100-500
42%
Tier 3
10-100
24%
Archive
<10
5%
Inactive
* Typical percentages, client data may vary
21
1. Understand Your Data –
Intelligent Information Lifecycle Management (IILM) services
Intelligent Information Lifecycle Management
(IILM) - simulates savings by analyzing historical
data usage patterns in existing environment
•Using IBM Spectrum Control or similar tools,
the IBM team can identify the volumes and TB
that will be analyzed over period of 30 days
– IOPS average will be based on calculations
using 96-288 samples taken for each
volume throughout a 24-hour period.
– Often, IBM team finds volumes of data that
were totally inactive during the analyzed
period. This is not unknown access, but
known zero access
•Based on this performance data collected from
the storage environment, the analysis
determines the average Indicative Tier
Distribution for the volumes
Tier
IOPS/
TB
Daily
TB
Daily
%
Hourly
TB
Hourly
%
Tier 0 > 1000 17.61 1% 102.25 4%
Tier 1a 700-1000 11.31 0% 40.75 2%
Tier 1b 550-700 19.08 1% 61.87 3%
Tier 2 100-500 225.95 10% 473.55 20%
Tier 3 10-100 1147.23 50% 1010.86 42%
Archive <10 763.10 33% 579.83 24%
Inactive 0 120.42 5% 123.65 5%
Indicative Tier Distribution
Tier 0 Tier 1a
Tier 1b Tier 2
Tier 3 Nearline
Inactive
22
2. Implement Tiering & Lifecycle Policies
23
Purchase
additional Tier 0
(Cache, Flash, SSD)
for most demanding
I/O densities
Purchase
additional Tier 2 and 3
for less demanding
I/O densities
IBM Virtual Storage Center (VSC)
Optimize Your ResourcesOptimize Your Resources
Automate Your WorkloadsAutomate Your Workloads
Simplified
Management
Simplified
Management
ComputeCompute StorageStorage NetworkNetwork
APIs
Orchestration
Service Levels
Standard Interfaces
Provisioning
Virtualization
Control
Plane
Data
Plane
SAN
Storage Virtualization
IBM Spectrum Virtualize
•IBM SAN Volume Controller
•IBM Storwize V7000 / V5000
•IBM FlashSystem V9000
Snapshot
Data Protection
Storage Optimization,
Provisioning and
Transformation
Infrastructure
Resource Management
IBM Spectrum Control
•Data and storage management
•Storage analytics engine
One or
more
24
IBM Spectrum Control and Virtual Storage Center
IBM Virtual
Storage Center
• Storage Analytics
• Policy-based
Automation
• Service level
provisioning
IBM Spectrum
Control
Advanced
Edition
IBM
Spectrum
Control
Base Edition
• VMware
IBM
Spectrum
Virtualize
IBM Spectrum
Control
Standard
Edition
• Capacity Planning
and Provisioning
• Performance
Monitoring and Alerts
IBM Copy Services
Manager
Base Edition
IBM
Spectrum
Snapshot
Standard
Edition
IBM
Spectrum
Snapshot
Standard
Edition
IBM Spectrum
Control
Storage
Insights
• Reclaim space
• Optimize data
placement
• Monitor capacity
and performance
On-premises
Off-premises
25
3. Automate Lifecycle Policies
SSD
Ent
HDD
NL
HDD
SSD
Ent
HDD
NL
HDD
NL
HDD
SAN
Solution:
IBM Spectrum Virtualize™ can manage
hundreds of arrays (IBM and non-IBM)
IBM Spectrum Control Advanced Edition
recommends and performs up-tier and down-
tier moves based on I/O Density and Age of
the data
Move LUNs non-disruptively within and across
arrays
26
IBM Global Account (IGA)
As part of a technology refresh, IBM internally
transformed its heavily Tier 1 environment to a
4-tier cost-effective infrastructure
– IGA realized $17 million in USD cost savings
in 2012, primarily through CAPEX avoidance
– IBM realized $90 million in savings over five
years
– “We were able to reduce a multi-day
complex process to a matter of 2-3
hours!”
— Kris Myers. Dir. Information Technology
IBM Global Account Division
IBM VSC managing the following tiers:
– Tier 1A = DS8000 w/ 15K RPM and SSD
– Tier 1B = XIV w/ 7200 RPM disk
– Tier 3 = V7000 w/ 2TB 7200 RPM
Data that is most active remains on Tier 1,
while data with lower activity is moved down
to lower tiers, consuming less costly storage
capacity on Tier 3
Case Study: IBM Global Account
USD $17M cost savings in 2012
• Costs savings over $90M over 5 years
27
IBM Sweden Shared Environment
Sweden has begun transforming its Tier 1 only
environment to a 3-tier cost-effective
infrastructure to deliver tiered solution to its
existing and prospective clients
Customer #1: IBM Sweden Internal Data
– Savings of 15M Swedish Krona (SEK) in
estimated cost savings over next 5 years
Customer #2: Large Fertilizer Business
– Savings of SEK 12M in estimated cost
savings over next 5 years
Estimated cost savings for existing shared
clients
– Savings of SEK 50M in estimated cost
savings over next 5 years for 12 existing
shared clients
IBM Sweden Shared Tiered Architecture
– Tier 1A = DS8K w/ 300GB 15K RPM drives
– Tier 1B = DS8K w/ 600GB 10K RPM
– Tier 3 = V7000 w/ 3TB 7.5K RPM
SEK 50M cost savings
estimated over 5 years
Case Study #2: IBM Sweden Shared Environment
28
The Many Forms of Tiering – Global Optimization
Low-latency DRAM
and Flash
Solid State
Drives (SSD)
Enterprise Disk
(15K and 10K)
Nearline Disk
(7200 RPM)
Automated Tape
Libraries
$$$
$$
$
IBM Spectrum Scale
IBM Spectrum Archive
Global
Optimization
29
IBM Spectrum Scale – Flexible File and Object Storage
FS1 FS256. . .
Exabyte-Scale,
Global Namespace
One big file system or divide into as
many as 256 smaller file/object
systems
Each file system can
be further divided into
fileset containers
Network Shared Disk
(NSD) refers to:
• Flash and Disk
devices
• Servers connected to
these devices
• Protocol between
clients and servers
Metadata can be separated to
its own Pool or intermixed with
data
Files and objects
can be migrated to
Tape, Object store,
or Cloud
30
IBM Spectrum Scale™ – Supported Topologies
Twin-tailed
FCP, iSCSI, IB
Internal, Direct-Attach
Shared PoolsShare-Nothing Pools
NSD Servers
Access files on direct, twin-
tailed or SAN attached disk
OpenStack drivers
Can be enabled as
“Protocol Nodes”
File Placement
Optimization (FPO)
Servers
For AIX, Linux-x86
and Linux on POWER
Access files on direct
attached disk
Exports files to other
FPO servers
Hyperconverged
External Clients
Access data via NAS, HDFS and
object protocols over IP network
TCP/IP
NSD Clients
For Linux, AIX,
and Windows
Access files via
SAN, TCP/IP or
RDMA
TCP/IP or RDMA network
31
IBM Spectrum Scale™ – More than just a file system!
Remote Office/
Branch Office
Other NAS
Other
Datacenters
Scale
Active File
Management
(AFM) caches data
to where it is
needed, can be
used to migrate from
other NAS
Hierarchical Storage
Management (HSM) migrates
infrequently accessed files to tape or
object-based cloud, automatically
recalls back when accessed
Local Read-Only Cache (LROC)
and Highly Available Write Cache
(HAWC) caches the busiest blocks of
files on local flash
Disaster Recovery
(DR) remotely mirrors data
to remote locations
Active/active
Migrate/Recall
Tape
NSD Client
Information Lifecycle
Management (ILM) moves data
across tiers of flash and disk
Object
Cloud
Cloud
32
I/O Density for Different Disk Technologies
Automated
Tape library
Shelf Tape
(on-premises)
Shelf Tape
(off-premises)
As data ages, it is
accessed less frequently
It can be cost-effective to
move older data to
physical tape media
1000
700
500
100
10
1
I/O Density
(IOPS / TB)
33
Library Edition
Linux or Windows Server
Tape Library
NFS / SMB
Linux Etc.Archive
Management
Solutions
Application file
access to tape
IBM Spectrum Scale
File system
Single Drive Edition
LTFS Format Enablement
Single Drive Support
Library Edition
Digital Archive Enablement
Tape Automation Support
Enterprise Edition
Integrated Tiered
Storage Solutions
Application file access
to tiered storage
Tape Library 1 Tape Library n
IBM Spectrum Archive – Implementations
…
NSD
NFS/SMB
Object
POSIX
Hadoop
34
IBM Spectrum Archive™ Overview
IBM Spectrum Archive enables IBM tape libraries to read/write
LTFS-format tapes in an IBM Spectrum Scale™ environment
–Based on the integration of IBM Spectrum Scale™ and LTFS
format
–Supports LTFS-enabled libraries
and drives
•TS4500 and TS3500 Enterprise libraries
•TS4300, TS3310, TS3200, TS3100, TS2900 libraries
•TS1140 (or higher) Enterprise Drive
•LTO5 (or higher) Ultrium drive
–Integrated functionality with
IBM Spectrum Scale
•Supports Policy based migrations
•Seamless DMAPI usage
•Data replication to multiple pools
–Supports scale-out for capacity and I/O
•Seamless cache controls between
IBM Spectrum Archive nodes
•Tape drive performance balancing
•Multiple node performance balancing
Los Angeles London Tokyo
Clients
Wide Area Network (WAN)
Global Namespace
LTFS LTFS LTFS LTFS
35
Three ways to move cold data out of IBM Spectrum
Scale
Migrate/Recall
LTFS
Tape
Information Lifecycle
Management (ILM) moves
data across tiers of flash and
disk
Migrate/Recall
Migrate/RecallTransparent
Cloud Tiering
Other NAS
AFM
IBM Cloud Object
Storage System
IBM Cloud
36
IBM Spectrum Storage and
IBM Cloud Object Storage System
Unified file and object
storage. Optimized for
high performance, across
flash, disk and object
store
Flash
Object
Store
15K
Object storage on disk
( File, backup and archive interfaces
available through variety of options )
IBM Cloud
Amazon Web Services
Microsoft Azure
Swift S3 emulation
OpenStack Swift
Unified file and object
storage on tape
Transparent Cloud Tiering
Information Lifecycle
Management (ILM) across tiers
HighestPerformance
Lowest cost
Tape10K 7200
37
Session summary
Tiered storage helps to balance
between performance and costs
• IBM Easy Tier can help optimize data
placement within a single system of
flash, enterprise and nearline disk
• IBM Spectrum Control and IBM
Spectrum Virtualize can help optimize
data placement across many different
flash and disk arrays in the datacenter
• IBM Spectrum Scale and IBM
Spectrum Archive can optimize data
placement globally, across multiple
datacenter locations, for data stored on
flash, disk and tape
38
39
Your feedback about this session is very important to us.
Submit a survey at:
ibmtechu.com
40
• http://www.ibm.com/training/events
• https://www-03.ibm.com/systems/storage/
• http://www.redbooks.ibm.com/
• http://www-01.ibm.com/support/docview.wss?uid=ssg1S4000935
• https://www-935.ibm.com/services/id/en/it-services/information-lifecycle-
management-solution.html
• https://www-935.ibm.com/services/ch/gts/pdf/br-storage-ilm-factsheet-
en.pdf
• https://www-03.ibm.com/systems/storage/spectrum/suite/
• https://www-03.ibm.com/systems/storage/spectrum/scale/
• http://www.ibm.com/systems/clientcenterdemonstrations
• https://ibm.biz/client-experience-portal
Session reference links
IBM Tucson Executive Briefing Center
• Tucson, Arizona is
home for storage
hardware and
software design and
development
• IBM Tucson
Executive Briefing
Center offers:
– Technology
briefings
– Product
demonstrations
– Solution workshops
• Take a video tour!
– http://youtu.be/CXr
poCZAazg
https://www.ibm.com/it-infrastructure/services/client-centers
ccenter@us.ibm.com
42
About the Speaker
43
Tony Pearson is a Master Inventor and Senior IT Architect for the IBM Storage product line. Tony joined IBM Corporation in
1986 in Tucson, Arizona, USA, and has lived there ever since. In his current role, Tony presents briefings on storage topics
covering the entire IBM Storage product line, IBM Spectrum Storage software products, and topics related to Cloud Computing,
Analytics and Cognitive Solutions. He interacts with clients, speaks at conferences and events, and leads client workshops to
help clients with strategic planning for IBM’s integrated set of storage management software, hardware, and virtualization
solutions.
Tony writes the “Inside System Storage” blog, which is read by thousands of clients, IBM sales reps and IBM Business Partners
every week. This blog was rated one of the top 10 blogs for the IT storage industry by “Networking World” magazine, and #1
most read IBM blog on IBM’s developerWorks. The blog has been published in series of books, Inside System Storage: Volume
I through V.
Over the past years, Tony has worked in development, marketing and consulting for various storage hardware and software
products. Tony has a Bachelor of Science degree in Software Engineering, and a Master of Science degree in Electrical
Engineering, both from the University of Arizona. . Tony is an inventor or co-inventor of 19 patents in the field of electronic data
storage.
9000 S. Rita Road
Bldg 9032 Floor 1
Tucson, AZ 85744
+1 520-799-4309 (Office)
tpearson@us.ibm.com
Tony Pearson
Master Inventor
Senior IT Architect
IBM Storage
Email:
tpearson@us.ibm.com
Twitter:
twitter.com/az990tony
Blog:
ibm.co/Pearson
Books:
www.lulu.com/spotlight/990_tony
IBM Expert Network on Slideshare:
www.slideshare.net/az990tony
Facebook:
www.facebook.com/tony.pearson.16121
Linkedin:
https://www.linkedin.com/in/az990tony
Additional Resources from Tony Pearson
44
Notice and disclaimers
• Copyright © 2017 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted
in any form without written permission from IBM.
• U.S. Government Users Restricted Rights — use, duplication or disclosure restricted by GSA ADP Schedule Contract with
IBM.
• Information in these presentations (including information relating to products that have not yet been announced by IBM) has been
reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall
have no responsibility to update this information. This document is distributed “as is” without any warranty, either express or
implied. In no event shall IBM be liable for any damage arising from the use of this information, including but not limited to,
loss of data, business interruption, loss of profit or loss of opportunity. IBM products and services are warranted according to
the terms and conditions of the agreements under which they are provided.
• IBM products are manufactured from new parts or new and used parts. In some cases, a product may not be new and may have
been previously installed. Regardless, our warranty terms apply.”
• Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice.
• Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented
as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost,
savings or other results in other operating environments may vary.
• References in this document to IBM products, programs, or services does not imply that IBM intends to make such products,
programs or services available in all countries in which IBM operates or does business.
• Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily
reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor
shall constitute legal or other guidance or advice to any individual participant or their specific situation.
• It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal
counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s
business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent or
warrant that its services or products will ensure that the customer is in compliance with any law.
45
Notice and disclaimers continued
Information concerning non-IBM products was obtained from the
suppliers of those products, their published announcements or
other publicly available sources. IBM has not tested those
products in connection with this publication and cannot confirm
the accuracy of performance, compatibility or any other claims
related to non-IBM products. Questions on the capabilities of
non-IBM products should be addressed to the suppliers of those
products. IBM does not warrant the quality of any third-party
products, or the ability of any such third-party products to
interoperate with IBM’s products. IBM expressly disclaims all
warranties, expressed or implied, including but not limited
to, the implied warranties of merchantability and fitness for
a particular, purpose.
The provision of the information contained herein is not intended
to, and does not, grant any right or license under any IBM
patents, copyrights, trademarks or other intellectual
property right.
IBM, the IBM logo, ibm.com, AIX, BigInsights, Bluemix, CICS,
Easy Tier, FlashCopy, FlashSystem, GDPS, GPFS,
Guardium, HyperSwap, IBM Cloud Managed Services, IBM
Elastic Storage, IBM FlashCore, IBM FlashSystem, IBM
MobileFirst, IBM Power Systems, IBM PureSystems, IBM
Spectrum, IBM Spectrum Accelerate, IBM Spectrum Archive,
IBM Spectrum Control, IBM Spectrum Protect, IBM Spectrum
Scale, IBM Spectrum Storage, IBM Spectrum Virtualize, IBM
Watson, IBM z Systems, IBM z13, IMS, InfoSphere, Linear
Tape File System, OMEGAMON, OpenPower, Parallel
Sysplex, Power, POWER, POWER4, POWER7, POWER8,
Power Series, Power Systems, Power Systems Software,
PowerHA, PowerLinux, PowerVM, PureApplica- tion, RACF,
Real-time Compression, Redbooks, RMF, SPSS, Storwize,
Symphony, SystemMirror, System Storage, Tivoli,
WebSphere, XIV, z Systems, z/OS, z/VM, z/VSE, zEnterprise
and zSecure are trademarks of International Business
Machines Corporation, registered in many jurisdictions
worldwide. Other product and service names might
be trademarks of IBM or other companies. A current list of
IBM trademarks is available on the Web at "Copyright and
trademark information" at:
www.ibm.com/legal/copytrade.shtml.
Linux is a registered trademark of Linus Torvalds in the United
States, other countries, or both. Java and all Java-based
trademarks and logos are trademarks or registered
trademarks of Oracle and/or its affiliates.
46

More Related Content

What's hot

S100293 hybrid-cloud-orlando-v1804a
S100293 hybrid-cloud-orlando-v1804aS100293 hybrid-cloud-orlando-v1804a
S100293 hybrid-cloud-orlando-v1804aTony Pearson
 
S104878 nvme-revolution-jburg-v1809b
S104878 nvme-revolution-jburg-v1809bS104878 nvme-revolution-jburg-v1809b
S104878 nvme-revolution-jburg-v1809bTony Pearson
 
S104877 cdm-data-reuse-jburg-v1809d
S104877 cdm-data-reuse-jburg-v1809dS104877 cdm-data-reuse-jburg-v1809d
S104877 cdm-data-reuse-jburg-v1809dTony Pearson
 
S100299 ibm-cos-orlando-v1804c
S100299 ibm-cos-orlando-v1804cS100299 ibm-cos-orlando-v1804c
S100299 ibm-cos-orlando-v1804cTony Pearson
 
S104872 spectrum nas-one-day-jburg-v1809e
S104872 spectrum nas-one-day-jburg-v1809eS104872 spectrum nas-one-day-jburg-v1809e
S104872 spectrum nas-one-day-jburg-v1809eTony Pearson
 
S014066 scale-ess-orlando-v1705a
S014066 scale-ess-orlando-v1705aS014066 scale-ess-orlando-v1705a
S014066 scale-ess-orlando-v1705aTony Pearson
 
S016825 ibm-cos-nola-v1710d
S016825 ibm-cos-nola-v1710dS016825 ibm-cos-nola-v1710d
S016825 ibm-cos-nola-v1710dTony Pearson
 
S016394 pendulum-swings-melbourne-v1708d
S016394 pendulum-swings-melbourne-v1708dS016394 pendulum-swings-melbourne-v1708d
S016394 pendulum-swings-melbourne-v1708dTony Pearson
 
S016826 cloud-storage-nola-v1710d
S016826 cloud-storage-nola-v1710dS016826 cloud-storage-nola-v1710d
S016826 cloud-storage-nola-v1710dTony Pearson
 
S016576 managing-data-footprint-reduction-brazil-v1708f
S016576 managing-data-footprint-reduction-brazil-v1708fS016576 managing-data-footprint-reduction-brazil-v1708f
S016576 managing-data-footprint-reduction-brazil-v1708fTony Pearson
 
S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3Tony Pearson
 
S016827 pendulum-swings-nola-v1710d
S016827 pendulum-swings-nola-v1710dS016827 pendulum-swings-nola-v1710d
S016827 pendulum-swings-nola-v1710dTony Pearson
 
S104875 nightmares-dreams-spectrum-control-jburg-v1809h
S104875 nightmares-dreams-spectrum-control-jburg-v1809hS104875 nightmares-dreams-spectrum-control-jburg-v1809h
S104875 nightmares-dreams-spectrum-control-jburg-v1809hTony Pearson
 
S104873 nas-sizing-jburg-v1809d
S104873 nas-sizing-jburg-v1809dS104873 nas-sizing-jburg-v1809d
S104873 nas-sizing-jburg-v1809dTony Pearson
 
S016578 hybrid-cloud-storage-brazil-v1708c
S016578 hybrid-cloud-storage-brazil-v1708cS016578 hybrid-cloud-storage-brazil-v1708c
S016578 hybrid-cloud-storage-brazil-v1708cTony Pearson
 
S sy0883 smarter-storage-strategy-edge2015-v4
S sy0883 smarter-storage-strategy-edge2015-v4S sy0883 smarter-storage-strategy-edge2015-v4
S sy0883 smarter-storage-strategy-edge2015-v4Tony Pearson
 
S016389 ibm-cos-brazil-v1708b
S016389 ibm-cos-brazil-v1708bS016389 ibm-cos-brazil-v1708b
S016389 ibm-cos-brazil-v1708bTony Pearson
 
S014067 ibm-cos-orlando-v1705a
S014067 ibm-cos-orlando-v1705aS014067 ibm-cos-orlando-v1705a
S014067 ibm-cos-orlando-v1705aTony Pearson
 
Data Footprint Reduction: Understanding IBM Storage Options
Data Footprint Reduction: Understanding IBM Storage OptionsData Footprint Reduction: Understanding IBM Storage Options
Data Footprint Reduction: Understanding IBM Storage OptionsTony Pearson
 
S014065 cloud-storage-orlando-v1705a
S014065 cloud-storage-orlando-v1705aS014065 cloud-storage-orlando-v1705a
S014065 cloud-storage-orlando-v1705aTony Pearson
 

What's hot (20)

S100293 hybrid-cloud-orlando-v1804a
S100293 hybrid-cloud-orlando-v1804aS100293 hybrid-cloud-orlando-v1804a
S100293 hybrid-cloud-orlando-v1804a
 
S104878 nvme-revolution-jburg-v1809b
S104878 nvme-revolution-jburg-v1809bS104878 nvme-revolution-jburg-v1809b
S104878 nvme-revolution-jburg-v1809b
 
S104877 cdm-data-reuse-jburg-v1809d
S104877 cdm-data-reuse-jburg-v1809dS104877 cdm-data-reuse-jburg-v1809d
S104877 cdm-data-reuse-jburg-v1809d
 
S100299 ibm-cos-orlando-v1804c
S100299 ibm-cos-orlando-v1804cS100299 ibm-cos-orlando-v1804c
S100299 ibm-cos-orlando-v1804c
 
S104872 spectrum nas-one-day-jburg-v1809e
S104872 spectrum nas-one-day-jburg-v1809eS104872 spectrum nas-one-day-jburg-v1809e
S104872 spectrum nas-one-day-jburg-v1809e
 
S014066 scale-ess-orlando-v1705a
S014066 scale-ess-orlando-v1705aS014066 scale-ess-orlando-v1705a
S014066 scale-ess-orlando-v1705a
 
S016825 ibm-cos-nola-v1710d
S016825 ibm-cos-nola-v1710dS016825 ibm-cos-nola-v1710d
S016825 ibm-cos-nola-v1710d
 
S016394 pendulum-swings-melbourne-v1708d
S016394 pendulum-swings-melbourne-v1708dS016394 pendulum-swings-melbourne-v1708d
S016394 pendulum-swings-melbourne-v1708d
 
S016826 cloud-storage-nola-v1710d
S016826 cloud-storage-nola-v1710dS016826 cloud-storage-nola-v1710d
S016826 cloud-storage-nola-v1710d
 
S016576 managing-data-footprint-reduction-brazil-v1708f
S016576 managing-data-footprint-reduction-brazil-v1708fS016576 managing-data-footprint-reduction-brazil-v1708f
S016576 managing-data-footprint-reduction-brazil-v1708f
 
S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3
 
S016827 pendulum-swings-nola-v1710d
S016827 pendulum-swings-nola-v1710dS016827 pendulum-swings-nola-v1710d
S016827 pendulum-swings-nola-v1710d
 
S104875 nightmares-dreams-spectrum-control-jburg-v1809h
S104875 nightmares-dreams-spectrum-control-jburg-v1809hS104875 nightmares-dreams-spectrum-control-jburg-v1809h
S104875 nightmares-dreams-spectrum-control-jburg-v1809h
 
S104873 nas-sizing-jburg-v1809d
S104873 nas-sizing-jburg-v1809dS104873 nas-sizing-jburg-v1809d
S104873 nas-sizing-jburg-v1809d
 
S016578 hybrid-cloud-storage-brazil-v1708c
S016578 hybrid-cloud-storage-brazil-v1708cS016578 hybrid-cloud-storage-brazil-v1708c
S016578 hybrid-cloud-storage-brazil-v1708c
 
S sy0883 smarter-storage-strategy-edge2015-v4
S sy0883 smarter-storage-strategy-edge2015-v4S sy0883 smarter-storage-strategy-edge2015-v4
S sy0883 smarter-storage-strategy-edge2015-v4
 
S016389 ibm-cos-brazil-v1708b
S016389 ibm-cos-brazil-v1708bS016389 ibm-cos-brazil-v1708b
S016389 ibm-cos-brazil-v1708b
 
S014067 ibm-cos-orlando-v1705a
S014067 ibm-cos-orlando-v1705aS014067 ibm-cos-orlando-v1705a
S014067 ibm-cos-orlando-v1705a
 
Data Footprint Reduction: Understanding IBM Storage Options
Data Footprint Reduction: Understanding IBM Storage OptionsData Footprint Reduction: Understanding IBM Storage Options
Data Footprint Reduction: Understanding IBM Storage Options
 
S014065 cloud-storage-orlando-v1705a
S014065 cloud-storage-orlando-v1705aS014065 cloud-storage-orlando-v1705a
S014065 cloud-storage-orlando-v1705a
 

Similar to S016828 storage-tiering-nola-v1710b

The benefits of IBM FlashSystems
The benefits of IBM FlashSystemsThe benefits of IBM FlashSystems
The benefits of IBM FlashSystemsLuca Comparini
 
Webinar: The Bifurcation of the Flash Market
Webinar: The Bifurcation of the Flash MarketWebinar: The Bifurcation of the Flash Market
Webinar: The Bifurcation of the Flash MarketStorage Switzerland
 
5. od optimized data-protection_archival_v1
5. od optimized data-protection_archival_v15. od optimized data-protection_archival_v1
5. od optimized data-protection_archival_v1Doina Draganescu
 
Inter connect2016 yss1841-cloud-storage-options-v4
Inter connect2016 yss1841-cloud-storage-options-v4Inter connect2016 yss1841-cloud-storage-options-v4
Inter connect2016 yss1841-cloud-storage-options-v4Tony Pearson
 
Webinar: The All-Flash Data Center, Myth or Reality?
Webinar: The All-Flash Data Center, Myth or Reality?Webinar: The All-Flash Data Center, Myth or Reality?
Webinar: The All-Flash Data Center, Myth or Reality?Storage Switzerland
 
Building a High Performance Analytics Platform
Building a High Performance Analytics PlatformBuilding a High Performance Analytics Platform
Building a High Performance Analytics PlatformSantanu Dey
 
Deploying ssd in the data center 2014
Deploying ssd in the data center 2014Deploying ssd in the data center 2014
Deploying ssd in the data center 2014Howard Marks
 
Application acceleration from the data storage perspective
Application acceleration from the data storage perspectiveApplication acceleration from the data storage perspective
Application acceleration from the data storage perspectiveInterop
 
AWS Webcast - Cost and Performance Optimization in Amazon RDS
AWS Webcast - Cost and Performance Optimization in Amazon RDSAWS Webcast - Cost and Performance Optimization in Amazon RDS
AWS Webcast - Cost and Performance Optimization in Amazon RDSAmazon Web Services
 
Selecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
Selecting the Right AWS Database Solution - AWS 2017 Online Tech TalksSelecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
Selecting the Right AWS Database Solution - AWS 2017 Online Tech TalksAmazon Web Services
 
Getting Started with Managed Database Services on AWS - September 2016 Webina...
Getting Started with Managed Database Services on AWS - September 2016 Webina...Getting Started with Managed Database Services on AWS - September 2016 Webina...
Getting Started with Managed Database Services on AWS - September 2016 Webina...Amazon Web Services
 
#MFSummit2016 Operate: The race for space
#MFSummit2016 Operate: The race for space#MFSummit2016 Operate: The race for space
#MFSummit2016 Operate: The race for spaceMicro Focus
 
2015 deploying flash in the data center
2015 deploying flash in the data center2015 deploying flash in the data center
2015 deploying flash in the data centerHoward Marks
 
2015 deploying flash in the data center
2015 deploying flash in the data center2015 deploying flash in the data center
2015 deploying flash in the data centerHoward Marks
 
Enterprise-class Solid State Drives
Enterprise-class Solid State DrivesEnterprise-class Solid State Drives
Enterprise-class Solid State Drivescalypsori
 
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance BarriersCeph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance BarriersCeph Community
 
IBM Spectrum Scale Overview november 2015
IBM Spectrum Scale Overview november 2015IBM Spectrum Scale Overview november 2015
IBM Spectrum Scale Overview november 2015Doug O'Flaherty
 
Accelerating Ceph Performance with High Speed Networks and Protocols - Qingch...
Accelerating Ceph Performance with High Speed Networks and Protocols - Qingch...Accelerating Ceph Performance with High Speed Networks and Protocols - Qingch...
Accelerating Ceph Performance with High Speed Networks and Protocols - Qingch...Ceph Community
 

Similar to S016828 storage-tiering-nola-v1710b (20)

The benefits of IBM FlashSystems
The benefits of IBM FlashSystemsThe benefits of IBM FlashSystems
The benefits of IBM FlashSystems
 
Webinar: The Bifurcation of the Flash Market
Webinar: The Bifurcation of the Flash MarketWebinar: The Bifurcation of the Flash Market
Webinar: The Bifurcation of the Flash Market
 
5. od optimized data-protection_archival_v1
5. od optimized data-protection_archival_v15. od optimized data-protection_archival_v1
5. od optimized data-protection_archival_v1
 
Inter connect2016 yss1841-cloud-storage-options-v4
Inter connect2016 yss1841-cloud-storage-options-v4Inter connect2016 yss1841-cloud-storage-options-v4
Inter connect2016 yss1841-cloud-storage-options-v4
 
Webinar: The All-Flash Data Center, Myth or Reality?
Webinar: The All-Flash Data Center, Myth or Reality?Webinar: The All-Flash Data Center, Myth or Reality?
Webinar: The All-Flash Data Center, Myth or Reality?
 
Building a High Performance Analytics Platform
Building a High Performance Analytics PlatformBuilding a High Performance Analytics Platform
Building a High Performance Analytics Platform
 
Deploying ssd in the data center 2014
Deploying ssd in the data center 2014Deploying ssd in the data center 2014
Deploying ssd in the data center 2014
 
Application acceleration from the data storage perspective
Application acceleration from the data storage perspectiveApplication acceleration from the data storage perspective
Application acceleration from the data storage perspective
 
AWS Webcast - Cost and Performance Optimization in Amazon RDS
AWS Webcast - Cost and Performance Optimization in Amazon RDSAWS Webcast - Cost and Performance Optimization in Amazon RDS
AWS Webcast - Cost and Performance Optimization in Amazon RDS
 
Selecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
Selecting the Right AWS Database Solution - AWS 2017 Online Tech TalksSelecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
Selecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
 
Getting Started with Managed Database Services on AWS - September 2016 Webina...
Getting Started with Managed Database Services on AWS - September 2016 Webina...Getting Started with Managed Database Services on AWS - September 2016 Webina...
Getting Started with Managed Database Services on AWS - September 2016 Webina...
 
#MFSummit2016 Operate: The race for space
#MFSummit2016 Operate: The race for space#MFSummit2016 Operate: The race for space
#MFSummit2016 Operate: The race for space
 
2015 deploying flash in the data center
2015 deploying flash in the data center2015 deploying flash in the data center
2015 deploying flash in the data center
 
2015 deploying flash in the data center
2015 deploying flash in the data center2015 deploying flash in the data center
2015 deploying flash in the data center
 
Enterprise-class Solid State Drives
Enterprise-class Solid State DrivesEnterprise-class Solid State Drives
Enterprise-class Solid State Drives
 
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance BarriersCeph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
 
Oracle Storage a ochrana dat
Oracle Storage a ochrana datOracle Storage a ochrana dat
Oracle Storage a ochrana dat
 
Frb Briefing Database
Frb Briefing DatabaseFrb Briefing Database
Frb Briefing Database
 
IBM Spectrum Scale Overview november 2015
IBM Spectrum Scale Overview november 2015IBM Spectrum Scale Overview november 2015
IBM Spectrum Scale Overview november 2015
 
Accelerating Ceph Performance with High Speed Networks and Protocols - Qingch...
Accelerating Ceph Performance with High Speed Networks and Protocols - Qingch...Accelerating Ceph Performance with High Speed Networks and Protocols - Qingch...
Accelerating Ceph Performance with High Speed Networks and Protocols - Qingch...
 

More from Tony Pearson

Rapid_Recovery-T75-v2204j.pdf
Rapid_Recovery-T75-v2204j.pdfRapid_Recovery-T75-v2204j.pdf
Rapid_Recovery-T75-v2204j.pdfTony Pearson
 
L203326 intro-maria db-techu2020-v9
L203326 intro-maria db-techu2020-v9L203326 intro-maria db-techu2020-v9
L203326 intro-maria db-techu2020-v9Tony Pearson
 
S200743 storage-announcements-ist2020-v2001a
S200743 storage-announcements-ist2020-v2001aS200743 storage-announcements-ist2020-v2001a
S200743 storage-announcements-ist2020-v2001aTony Pearson
 
S200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001cS200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001cTony Pearson
 
S200515 storage-insights-ist2020-v2001d
S200515 storage-insights-ist2020-v2001dS200515 storage-insights-ist2020-v2001d
S200515 storage-insights-ist2020-v2001dTony Pearson
 
F200612 deliver-message-ist2020-v2001c
F200612 deliver-message-ist2020-v2001cF200612 deliver-message-ist2020-v2001c
F200612 deliver-message-ist2020-v2001cTony Pearson
 
Z111806 strengthen-security-sydney-v1910a
Z111806 strengthen-security-sydney-v1910aZ111806 strengthen-security-sydney-v1910a
Z111806 strengthen-security-sydney-v1910aTony Pearson
 
G111614 top-trends-sydney2019-v1910a
G111614 top-trends-sydney2019-v1910aG111614 top-trends-sydney2019-v1910a
G111614 top-trends-sydney2019-v1910aTony Pearson
 
G111416 personal-brand-sydney-v1910b
G111416 personal-brand-sydney-v1910bG111416 personal-brand-sydney-v1910b
G111416 personal-brand-sydney-v1910bTony Pearson
 
Z109889 z4 r-storage-dfsms-vegas-v1910b
Z109889 z4 r-storage-dfsms-vegas-v1910bZ109889 z4 r-storage-dfsms-vegas-v1910b
Z109889 z4 r-storage-dfsms-vegas-v1910bTony Pearson
 
Z110932 strengthen-security-jburg-v1909c
Z110932 strengthen-security-jburg-v1909cZ110932 strengthen-security-jburg-v1909c
Z110932 strengthen-security-jburg-v1909cTony Pearson
 
Z109889 z4 r-storage-dfsms-jburg-v1909d
Z109889 z4 r-storage-dfsms-jburg-v1909dZ109889 z4 r-storage-dfsms-jburg-v1909d
Z109889 z4 r-storage-dfsms-jburg-v1909dTony Pearson
 
S111477 scale-in-cloud-jburg-v1909d
S111477 scale-in-cloud-jburg-v1909dS111477 scale-in-cloud-jburg-v1909d
S111477 scale-in-cloud-jburg-v1909dTony Pearson
 
S110646 storage-for-ai-jburg-v1909c
S110646 storage-for-ai-jburg-v1909cS110646 storage-for-ai-jburg-v1909c
S110646 storage-for-ai-jburg-v1909cTony Pearson
 
G108263 personal-brand-berlin-v1904a
G108263 personal-brand-berlin-v1904aG108263 personal-brand-berlin-v1904a
G108263 personal-brand-berlin-v1904aTony Pearson
 
S108283 svc-storwize-lagos-v1905d
S108283 svc-storwize-lagos-v1905dS108283 svc-storwize-lagos-v1905d
S108283 svc-storwize-lagos-v1905dTony Pearson
 
G108277 ds8000-resiliency-lagos-v1905c
G108277 ds8000-resiliency-lagos-v1905cG108277 ds8000-resiliency-lagos-v1905c
G108277 ds8000-resiliency-lagos-v1905cTony Pearson
 
G108276 public-speaking-lagos-v1905b
G108276 public-speaking-lagos-v1905bG108276 public-speaking-lagos-v1905b
G108276 public-speaking-lagos-v1905bTony Pearson
 
G108266 stack-the-deck-lagos-v1905c
G108266 stack-the-deck-lagos-v1905cG108266 stack-the-deck-lagos-v1905c
G108266 stack-the-deck-lagos-v1905cTony Pearson
 
G107984 personal-brand-atlanta-v1904a
G107984 personal-brand-atlanta-v1904aG107984 personal-brand-atlanta-v1904a
G107984 personal-brand-atlanta-v1904aTony Pearson
 

More from Tony Pearson (20)

Rapid_Recovery-T75-v2204j.pdf
Rapid_Recovery-T75-v2204j.pdfRapid_Recovery-T75-v2204j.pdf
Rapid_Recovery-T75-v2204j.pdf
 
L203326 intro-maria db-techu2020-v9
L203326 intro-maria db-techu2020-v9L203326 intro-maria db-techu2020-v9
L203326 intro-maria db-techu2020-v9
 
S200743 storage-announcements-ist2020-v2001a
S200743 storage-announcements-ist2020-v2001aS200743 storage-announcements-ist2020-v2001a
S200743 storage-announcements-ist2020-v2001a
 
S200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001cS200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001c
 
S200515 storage-insights-ist2020-v2001d
S200515 storage-insights-ist2020-v2001dS200515 storage-insights-ist2020-v2001d
S200515 storage-insights-ist2020-v2001d
 
F200612 deliver-message-ist2020-v2001c
F200612 deliver-message-ist2020-v2001cF200612 deliver-message-ist2020-v2001c
F200612 deliver-message-ist2020-v2001c
 
Z111806 strengthen-security-sydney-v1910a
Z111806 strengthen-security-sydney-v1910aZ111806 strengthen-security-sydney-v1910a
Z111806 strengthen-security-sydney-v1910a
 
G111614 top-trends-sydney2019-v1910a
G111614 top-trends-sydney2019-v1910aG111614 top-trends-sydney2019-v1910a
G111614 top-trends-sydney2019-v1910a
 
G111416 personal-brand-sydney-v1910b
G111416 personal-brand-sydney-v1910bG111416 personal-brand-sydney-v1910b
G111416 personal-brand-sydney-v1910b
 
Z109889 z4 r-storage-dfsms-vegas-v1910b
Z109889 z4 r-storage-dfsms-vegas-v1910bZ109889 z4 r-storage-dfsms-vegas-v1910b
Z109889 z4 r-storage-dfsms-vegas-v1910b
 
Z110932 strengthen-security-jburg-v1909c
Z110932 strengthen-security-jburg-v1909cZ110932 strengthen-security-jburg-v1909c
Z110932 strengthen-security-jburg-v1909c
 
Z109889 z4 r-storage-dfsms-jburg-v1909d
Z109889 z4 r-storage-dfsms-jburg-v1909dZ109889 z4 r-storage-dfsms-jburg-v1909d
Z109889 z4 r-storage-dfsms-jburg-v1909d
 
S111477 scale-in-cloud-jburg-v1909d
S111477 scale-in-cloud-jburg-v1909dS111477 scale-in-cloud-jburg-v1909d
S111477 scale-in-cloud-jburg-v1909d
 
S110646 storage-for-ai-jburg-v1909c
S110646 storage-for-ai-jburg-v1909cS110646 storage-for-ai-jburg-v1909c
S110646 storage-for-ai-jburg-v1909c
 
G108263 personal-brand-berlin-v1904a
G108263 personal-brand-berlin-v1904aG108263 personal-brand-berlin-v1904a
G108263 personal-brand-berlin-v1904a
 
S108283 svc-storwize-lagos-v1905d
S108283 svc-storwize-lagos-v1905dS108283 svc-storwize-lagos-v1905d
S108283 svc-storwize-lagos-v1905d
 
G108277 ds8000-resiliency-lagos-v1905c
G108277 ds8000-resiliency-lagos-v1905cG108277 ds8000-resiliency-lagos-v1905c
G108277 ds8000-resiliency-lagos-v1905c
 
G108276 public-speaking-lagos-v1905b
G108276 public-speaking-lagos-v1905bG108276 public-speaking-lagos-v1905b
G108276 public-speaking-lagos-v1905b
 
G108266 stack-the-deck-lagos-v1905c
G108266 stack-the-deck-lagos-v1905cG108266 stack-the-deck-lagos-v1905c
G108266 stack-the-deck-lagos-v1905c
 
G107984 personal-brand-atlanta-v1904a
G107984 personal-brand-atlanta-v1904aG107984 personal-brand-atlanta-v1904a
G107984 personal-brand-atlanta-v1904a
 

Recently uploaded

Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetEnjoy Anytime
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAndikSusilo4
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Hyundai Motor Group
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 

Recently uploaded (20)

Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptxVulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
The transition to renewables in India.pdf
The transition to renewables in India.pdfThe transition to renewables in India.pdf
The transition to renewables in India.pdf
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & Application
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 

S016828 storage-tiering-nola-v1710b

  • 1. IBM Power Systems and IBM Storage Technical University New Generation of Storage Tiering: Simpler Management, Lower Costs and Increased Performance Tony Pearson Master Inventor and Senior IT Architect, IBM Corporation
  • 2. Abstract Confused on how to implement storage tiering between Flash, Disk, Tape storage system resources? This session will cover the various techniques and technologies available. 2
  • 3. This week with Tony Pearson Day Time Topic Monday 10:15am Business Continuity – The seven tiers of business continuity and disaster recovery 1:45pm IBM’s Cloud Storage Options 4:30pm Introduction to IBM Cloud Object Storage System and its Applications (powered by Cleversafe) Tuesday 10:15am The Pendulum Swings Back – Understanding Converged and Hyperconverged Environments 11:30am New generation of storage tiering: Simpler management, Lower costs and Increased performance 3:15pm Introduction to IBM Cloud Object Storage System and its Applications (powered by Cleversafe) Wednesday 9:00am IBM Spectrum Scale for Volume, File and Object Storage 3
  • 4. Is your data on the right storage tier? • Requirements change over time • Data owners are risk averse • Users don’t see the total cost • Rationing resources is unpopular … but the biggest challenge has been: • No objective way to determine what the ‘right tier’should be! …so data stays on top tier storage (expensive) • Resources that should be spent on innovation are wasted on infrastructure inefficiencies 50-60% Optimal Storage Tier Distribution Tier 0 Tier 2 Tier 3 Tier 1 20-25% 15-20% 1-5% -0 -1% Typical Storage Tier Distribution 70% Tier 0 Tier 2 Tier 3 Tier 1 4
  • 5. Too Many Critical Storage Projects and… No Budget to Implement Top Storage Pain Points Top Storage Projects How do I fix these problems? How do I fund these projects? 5
  • 6. Storage Tiers – A trade-off between performance and cost Server Cache, Flash and Solid-State Drives Hard Disk Drives Automated Tape Manual Tape Faster Performance Lower Cost Technologies allow us to place and move data to the appropriate storage tier to balance between performance and cost 6
  • 7. Four Fundamental Truths of Storage Tiering • All data is not created equal • Information changes in business value and in service level requirements over time • IT resources should be allocated according to the value of information • Information must be managed throughout its entire lifespan … data outlives media 0 20 40 60 80 100 1 w 2 w 3 w 4 w 3 m 6 m 9 m 1 yr 2 yr 5 yr 10 yr DataValue Age of Data Machine data Email EMR Database Surveillance Video 7
  • 8. Tiered Information Environment A tiered information environment aligns IT resources with Business Value and Service Levels required Best Practices 1. Align information with business requirements to determine 3-5 Information Classes 2. Establish policies to map information to a Class of Service • Initial placement • Subsequent movement • Backups, archives, mirroring • Disposal, destruction, deletion 3. Establish well differentiated tiers of information infrastructure associated with each service level Mission Critical Business Critical Business Operational General Business app/ data type Platinum Gold Silver Bronze Infrastructure Classes of Service Information Management Characteristics Client SW: Backup, Compliance, SRM, Storage Access, Replication Device Mgmt SW: SAN hardware, Storage Arrays Storage Virtualization Storage Hardware: Disk, Tape, Storage Networking Infrastructure / Tactical Components Policies & Governance app/ data type app/ data type app/ data type app/ data type app/ data type Policies / ISSC / Information Management 8
  • 9. Introducing I/O Density – Performance measurement 9 • For each LUN, the amount of IOPS is divided by the amount of resident data • IOPS = I/O (read/write) per second • IO Density = IOPS per Terabyte of data for a given volume • What is I/O Density? • I/O Density (IOPS/TB) provides a level-set view of performance regardless of volume size allowing a uniform unit of measurement for analysis • IOPS and TB tend to grow at similar rates, keeping IO Density constant for each application • The I/O Density value is the peak value of the averages taken for the hour or day, depending on the sampling chosen (Daily, Hourly or Sample Average). • Daily Average has thus far proven the most reliable indicator of future re-tiering results • Hourly Average useful for brief but intense high-demand workloads * Note: I/O Density can be represented per TB or per GB 700 IOPS/TB = 0.7 IOPS/GB
  • 10. The Many Forms of Tiering – Single System Optimization Low-latency DRAM and Flash Solid State Drives (SSD) Enterprise Disk (15K and 10K) Nearline Disk (7200 RPM) Automated Tape Libraries FlashSystem V9000 with External Disk DS8000 Disk System SAN Volume Controller Storwize $$$ 10
  • 11. I/O Density for Different Disk Technologies 1000 700 500 100 10 1 146GB 15K 300GB 15K 600GB 10K 900GB 10K 3 TB 7200 4 TB 7200 73GB 15K I/O Density (IOPS / TB) Spinning disks get larger in capacity, but the overall IOPS per spindle remains constant, causing lower I/O density * Typical values, drives may vary RPM IOPS/drive 15K 175-210 10K 125-150 7200 75-100 11
  • 12. Automated Sub-LUN Tiering within Storage Array Flash and Solid-State Drives Enterprise HDD 15K and 10K rpm Nearline HDD 7200 rpm Problem: SSDs appear more expensive than traditional disks (per GB) Without optimization tools, clients have been over-provisioning them Administrators spend too much time monitoring, reporting, and tuning tiers Solution: Three data relocation functions that enable smart data placement and movement to optimize SSD deployments with minimal costs – Entire-LUN Relocation – Sub-LUN Automatic Movement – Re-balancing Intra-Tier Extent Pool 12
  • 13. IBM Easy Tier® • Pools can have mixed media – Tier 0 (High Performance) Flash – Tier 1 (High Capacity, Read-Intensive) Flash – Enterprise HDD (15K and 10K RPM) – Nearline HDD (7200 RPM) • Easy Tier measures and manages activity – 24 hour learning period – Every five minutes: up to 8 extents moved • Hottest Extents moved up to faster tiers • Coldest Extents moved down to slowest tiers – New allocations placed initially on fastest HDD • A small amount of Flash (as little as 2-3%) can dramatically reduce response times and increase IOPS throughput • Storage Tier Advisory Tool can estimate benefits of adding Flash before purchase! Flash and SSD Enterprise HDD Nearline HDD 13
  • 14. Flash and Solid State Drive Options – Tier 0 vs Tier 1 Tier 0 (High performance) • Due to repetitive ‘write-erase’ cycles, flash drives have a life span or ‘write- endurance’ • Most current “write intensive" flash drives have endurance that allows up to 10-25 Drive Writes per Day (DWPD) • For example, with a 700GB flash drive, you can write up to 7 TB on that one drive in a day and maintain the usable capacity for 5 years Tier 1 (High Capacity, Read-Intensive) • Flash drive vendors have engineered a lower cost drive, qualified for up to 1-5 DWPD • Often called “read intensive” (RI) flash drives • One DWPD drives can meet the vast majority of workload demands • IBM and competitors are aggressively moving to all-flash arrays with extensive use of read intensive drives for competitive reasons Original (1050 GB) Tier 0 – Sold as 700GB with extra … 350GB for 10 DWPD Tier 1 – Sold as 1000GB …with only 50GB extra for 1 DWPD 14
  • 15. Workload skew from different client environments 0 10 20 30 40 50 60 70 80 90 100 0 10 20 30 40 50 60 70 80 90 100 Percentage of extents ComulativePercentageofActivity Mainframe1 - Small IOs Mainframe1 - MB Mainframe2 - Small IOs Mainframe2 - MB Mainframe 3 - Small IOs Mainframe3 - MB Open1 - Small IOs Open1 - MB Open2 - Small IOs Open2 - MB Open3 - Small IOs Open3 - MB Nearline Enterprise SSD Source: Internal IBM lab tests 15
  • 16. Easy Tier Application Transaction Improvement 16 Application Transactions Easy Tier Learning Easy Tier In Action 240% from Original brokerage transaction No change to the database or application No work required to identify active indexes or I/O profiles No manual movement of files or volumes Just turn it on and let it work! 16
  • 17. Flash only pool Easy Tier pool HDD only pool ERP FlashSystem Storwize / XIV / DS8000 Spectrum Virtualize SCM SRM CRM BW Production DB servers Non-prod DB servers ERP SCM … … … • Put DB with a high IO/s per TB ratio on Flash only • Put Production DB on Easy Tier™ tiered storage • Put Non-production DBs on HDD only Spectrum Virtualize storage pools Best Practices – Three Pools 17
  • 18. The Many Forms of Tiering – Datacenter Optimization Low-latency DRAM and Flash Solid State Drives (SSD) Enterprise Disk (15K and 10K) Nearline Disk (7200 RPM) Automated Tape Libraries $$ $$$ IBM Spectrum Control IBM Spectrum Virtualize Datacenter Optimization 18
  • 19. Realize Cost-Savings through Right-Tiering of Data Storage 19 Problem: High-end disk arrays are expensive Difficult to identify which data should be moved Manually re-locating LUNs is time- consuming and disruptive
  • 20. IBM Intelligent ILM Implementation Phases 1. Understand Client Data 2. Implement Tiering & Lifecycle Policies TapeArchiveTier 3Tier 2Tier 1 3. Automate Lifecycle Management • Analyze your data usage patterns and provides recommendations on how to cost-effectively store your data using storage tiers • Define and implement storage tiers with policies on where to place your data initially and when to move it based on its changing business value • Automate the movement of your data, without disruption or downtime, to lower cost storage tiers based on pre-defined policies and your business priorities 20
  • 21. Where Does Your Data Belong? 1000 700 500 100 10 1 I/O Density (IOPS / TB) Different data have different I/O densities Intelligent Information Lifecycle Management (IILM) Identifies the I/O density of your existing data to help relocate data to more cost effective storage 4% Tier 0 >1000 2% Tier 1A 700-1000 3% Tier 1B 500-700 20% Tier 2 100-500 42% Tier 3 10-100 24% Archive <10 5% Inactive * Typical percentages, client data may vary 21
  • 22. 1. Understand Your Data – Intelligent Information Lifecycle Management (IILM) services Intelligent Information Lifecycle Management (IILM) - simulates savings by analyzing historical data usage patterns in existing environment •Using IBM Spectrum Control or similar tools, the IBM team can identify the volumes and TB that will be analyzed over period of 30 days – IOPS average will be based on calculations using 96-288 samples taken for each volume throughout a 24-hour period. – Often, IBM team finds volumes of data that were totally inactive during the analyzed period. This is not unknown access, but known zero access •Based on this performance data collected from the storage environment, the analysis determines the average Indicative Tier Distribution for the volumes Tier IOPS/ TB Daily TB Daily % Hourly TB Hourly % Tier 0 > 1000 17.61 1% 102.25 4% Tier 1a 700-1000 11.31 0% 40.75 2% Tier 1b 550-700 19.08 1% 61.87 3% Tier 2 100-500 225.95 10% 473.55 20% Tier 3 10-100 1147.23 50% 1010.86 42% Archive <10 763.10 33% 579.83 24% Inactive 0 120.42 5% 123.65 5% Indicative Tier Distribution Tier 0 Tier 1a Tier 1b Tier 2 Tier 3 Nearline Inactive 22
  • 23. 2. Implement Tiering & Lifecycle Policies 23 Purchase additional Tier 0 (Cache, Flash, SSD) for most demanding I/O densities Purchase additional Tier 2 and 3 for less demanding I/O densities
  • 24. IBM Virtual Storage Center (VSC) Optimize Your ResourcesOptimize Your Resources Automate Your WorkloadsAutomate Your Workloads Simplified Management Simplified Management ComputeCompute StorageStorage NetworkNetwork APIs Orchestration Service Levels Standard Interfaces Provisioning Virtualization Control Plane Data Plane SAN Storage Virtualization IBM Spectrum Virtualize •IBM SAN Volume Controller •IBM Storwize V7000 / V5000 •IBM FlashSystem V9000 Snapshot Data Protection Storage Optimization, Provisioning and Transformation Infrastructure Resource Management IBM Spectrum Control •Data and storage management •Storage analytics engine One or more 24
  • 25. IBM Spectrum Control and Virtual Storage Center IBM Virtual Storage Center • Storage Analytics • Policy-based Automation • Service level provisioning IBM Spectrum Control Advanced Edition IBM Spectrum Control Base Edition • VMware IBM Spectrum Virtualize IBM Spectrum Control Standard Edition • Capacity Planning and Provisioning • Performance Monitoring and Alerts IBM Copy Services Manager Base Edition IBM Spectrum Snapshot Standard Edition IBM Spectrum Snapshot Standard Edition IBM Spectrum Control Storage Insights • Reclaim space • Optimize data placement • Monitor capacity and performance On-premises Off-premises 25
  • 26. 3. Automate Lifecycle Policies SSD Ent HDD NL HDD SSD Ent HDD NL HDD NL HDD SAN Solution: IBM Spectrum Virtualize™ can manage hundreds of arrays (IBM and non-IBM) IBM Spectrum Control Advanced Edition recommends and performs up-tier and down- tier moves based on I/O Density and Age of the data Move LUNs non-disruptively within and across arrays 26
  • 27. IBM Global Account (IGA) As part of a technology refresh, IBM internally transformed its heavily Tier 1 environment to a 4-tier cost-effective infrastructure – IGA realized $17 million in USD cost savings in 2012, primarily through CAPEX avoidance – IBM realized $90 million in savings over five years – “We were able to reduce a multi-day complex process to a matter of 2-3 hours!” — Kris Myers. Dir. Information Technology IBM Global Account Division IBM VSC managing the following tiers: – Tier 1A = DS8000 w/ 15K RPM and SSD – Tier 1B = XIV w/ 7200 RPM disk – Tier 3 = V7000 w/ 2TB 7200 RPM Data that is most active remains on Tier 1, while data with lower activity is moved down to lower tiers, consuming less costly storage capacity on Tier 3 Case Study: IBM Global Account USD $17M cost savings in 2012 • Costs savings over $90M over 5 years 27
  • 28. IBM Sweden Shared Environment Sweden has begun transforming its Tier 1 only environment to a 3-tier cost-effective infrastructure to deliver tiered solution to its existing and prospective clients Customer #1: IBM Sweden Internal Data – Savings of 15M Swedish Krona (SEK) in estimated cost savings over next 5 years Customer #2: Large Fertilizer Business – Savings of SEK 12M in estimated cost savings over next 5 years Estimated cost savings for existing shared clients – Savings of SEK 50M in estimated cost savings over next 5 years for 12 existing shared clients IBM Sweden Shared Tiered Architecture – Tier 1A = DS8K w/ 300GB 15K RPM drives – Tier 1B = DS8K w/ 600GB 10K RPM – Tier 3 = V7000 w/ 3TB 7.5K RPM SEK 50M cost savings estimated over 5 years Case Study #2: IBM Sweden Shared Environment 28
  • 29. The Many Forms of Tiering – Global Optimization Low-latency DRAM and Flash Solid State Drives (SSD) Enterprise Disk (15K and 10K) Nearline Disk (7200 RPM) Automated Tape Libraries $$$ $$ $ IBM Spectrum Scale IBM Spectrum Archive Global Optimization 29
  • 30. IBM Spectrum Scale – Flexible File and Object Storage FS1 FS256. . . Exabyte-Scale, Global Namespace One big file system or divide into as many as 256 smaller file/object systems Each file system can be further divided into fileset containers Network Shared Disk (NSD) refers to: • Flash and Disk devices • Servers connected to these devices • Protocol between clients and servers Metadata can be separated to its own Pool or intermixed with data Files and objects can be migrated to Tape, Object store, or Cloud 30
  • 31. IBM Spectrum Scale™ – Supported Topologies Twin-tailed FCP, iSCSI, IB Internal, Direct-Attach Shared PoolsShare-Nothing Pools NSD Servers Access files on direct, twin- tailed or SAN attached disk OpenStack drivers Can be enabled as “Protocol Nodes” File Placement Optimization (FPO) Servers For AIX, Linux-x86 and Linux on POWER Access files on direct attached disk Exports files to other FPO servers Hyperconverged External Clients Access data via NAS, HDFS and object protocols over IP network TCP/IP NSD Clients For Linux, AIX, and Windows Access files via SAN, TCP/IP or RDMA TCP/IP or RDMA network 31
  • 32. IBM Spectrum Scale™ – More than just a file system! Remote Office/ Branch Office Other NAS Other Datacenters Scale Active File Management (AFM) caches data to where it is needed, can be used to migrate from other NAS Hierarchical Storage Management (HSM) migrates infrequently accessed files to tape or object-based cloud, automatically recalls back when accessed Local Read-Only Cache (LROC) and Highly Available Write Cache (HAWC) caches the busiest blocks of files on local flash Disaster Recovery (DR) remotely mirrors data to remote locations Active/active Migrate/Recall Tape NSD Client Information Lifecycle Management (ILM) moves data across tiers of flash and disk Object Cloud Cloud 32
  • 33. I/O Density for Different Disk Technologies Automated Tape library Shelf Tape (on-premises) Shelf Tape (off-premises) As data ages, it is accessed less frequently It can be cost-effective to move older data to physical tape media 1000 700 500 100 10 1 I/O Density (IOPS / TB) 33
  • 34. Library Edition Linux or Windows Server Tape Library NFS / SMB Linux Etc.Archive Management Solutions Application file access to tape IBM Spectrum Scale File system Single Drive Edition LTFS Format Enablement Single Drive Support Library Edition Digital Archive Enablement Tape Automation Support Enterprise Edition Integrated Tiered Storage Solutions Application file access to tiered storage Tape Library 1 Tape Library n IBM Spectrum Archive – Implementations … NSD NFS/SMB Object POSIX Hadoop 34
  • 35. IBM Spectrum Archive™ Overview IBM Spectrum Archive enables IBM tape libraries to read/write LTFS-format tapes in an IBM Spectrum Scale™ environment –Based on the integration of IBM Spectrum Scale™ and LTFS format –Supports LTFS-enabled libraries and drives •TS4500 and TS3500 Enterprise libraries •TS4300, TS3310, TS3200, TS3100, TS2900 libraries •TS1140 (or higher) Enterprise Drive •LTO5 (or higher) Ultrium drive –Integrated functionality with IBM Spectrum Scale •Supports Policy based migrations •Seamless DMAPI usage •Data replication to multiple pools –Supports scale-out for capacity and I/O •Seamless cache controls between IBM Spectrum Archive nodes •Tape drive performance balancing •Multiple node performance balancing Los Angeles London Tokyo Clients Wide Area Network (WAN) Global Namespace LTFS LTFS LTFS LTFS 35
  • 36. Three ways to move cold data out of IBM Spectrum Scale Migrate/Recall LTFS Tape Information Lifecycle Management (ILM) moves data across tiers of flash and disk Migrate/Recall Migrate/RecallTransparent Cloud Tiering Other NAS AFM IBM Cloud Object Storage System IBM Cloud 36
  • 37. IBM Spectrum Storage and IBM Cloud Object Storage System Unified file and object storage. Optimized for high performance, across flash, disk and object store Flash Object Store 15K Object storage on disk ( File, backup and archive interfaces available through variety of options ) IBM Cloud Amazon Web Services Microsoft Azure Swift S3 emulation OpenStack Swift Unified file and object storage on tape Transparent Cloud Tiering Information Lifecycle Management (ILM) across tiers HighestPerformance Lowest cost Tape10K 7200 37
  • 38. Session summary Tiered storage helps to balance between performance and costs • IBM Easy Tier can help optimize data placement within a single system of flash, enterprise and nearline disk • IBM Spectrum Control and IBM Spectrum Virtualize can help optimize data placement across many different flash and disk arrays in the datacenter • IBM Spectrum Scale and IBM Spectrum Archive can optimize data placement globally, across multiple datacenter locations, for data stored on flash, disk and tape 38
  • 39. 39
  • 40. Your feedback about this session is very important to us. Submit a survey at: ibmtechu.com 40
  • 41. • http://www.ibm.com/training/events • https://www-03.ibm.com/systems/storage/ • http://www.redbooks.ibm.com/ • http://www-01.ibm.com/support/docview.wss?uid=ssg1S4000935 • https://www-935.ibm.com/services/id/en/it-services/information-lifecycle- management-solution.html • https://www-935.ibm.com/services/ch/gts/pdf/br-storage-ilm-factsheet- en.pdf • https://www-03.ibm.com/systems/storage/spectrum/suite/ • https://www-03.ibm.com/systems/storage/spectrum/scale/ • http://www.ibm.com/systems/clientcenterdemonstrations • https://ibm.biz/client-experience-portal Session reference links
  • 42. IBM Tucson Executive Briefing Center • Tucson, Arizona is home for storage hardware and software design and development • IBM Tucson Executive Briefing Center offers: – Technology briefings – Product demonstrations – Solution workshops • Take a video tour! – http://youtu.be/CXr poCZAazg https://www.ibm.com/it-infrastructure/services/client-centers ccenter@us.ibm.com 42
  • 43. About the Speaker 43 Tony Pearson is a Master Inventor and Senior IT Architect for the IBM Storage product line. Tony joined IBM Corporation in 1986 in Tucson, Arizona, USA, and has lived there ever since. In his current role, Tony presents briefings on storage topics covering the entire IBM Storage product line, IBM Spectrum Storage software products, and topics related to Cloud Computing, Analytics and Cognitive Solutions. He interacts with clients, speaks at conferences and events, and leads client workshops to help clients with strategic planning for IBM’s integrated set of storage management software, hardware, and virtualization solutions. Tony writes the “Inside System Storage” blog, which is read by thousands of clients, IBM sales reps and IBM Business Partners every week. This blog was rated one of the top 10 blogs for the IT storage industry by “Networking World” magazine, and #1 most read IBM blog on IBM’s developerWorks. The blog has been published in series of books, Inside System Storage: Volume I through V. Over the past years, Tony has worked in development, marketing and consulting for various storage hardware and software products. Tony has a Bachelor of Science degree in Software Engineering, and a Master of Science degree in Electrical Engineering, both from the University of Arizona. . Tony is an inventor or co-inventor of 19 patents in the field of electronic data storage. 9000 S. Rita Road Bldg 9032 Floor 1 Tucson, AZ 85744 +1 520-799-4309 (Office) tpearson@us.ibm.com Tony Pearson Master Inventor Senior IT Architect IBM Storage
  • 44. Email: tpearson@us.ibm.com Twitter: twitter.com/az990tony Blog: ibm.co/Pearson Books: www.lulu.com/spotlight/990_tony IBM Expert Network on Slideshare: www.slideshare.net/az990tony Facebook: www.facebook.com/tony.pearson.16121 Linkedin: https://www.linkedin.com/in/az990tony Additional Resources from Tony Pearson 44
  • 45. Notice and disclaimers • Copyright © 2017 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted in any form without written permission from IBM. • U.S. Government Users Restricted Rights — use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM. • Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. This document is distributed “as is” without any warranty, either express or implied. In no event shall IBM be liable for any damage arising from the use of this information, including but not limited to, loss of data, business interruption, loss of profit or loss of opportunity. IBM products and services are warranted according to the terms and conditions of the agreements under which they are provided. • IBM products are manufactured from new parts or new and used parts. In some cases, a product may not be new and may have been previously installed. Regardless, our warranty terms apply.” • Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice. • Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary. • References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs or services available in all countries in which IBM operates or does business. • Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor shall constitute legal or other guidance or advice to any individual participant or their specific situation. • It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the customer is in compliance with any law. 45
  • 46. Notice and disclaimers continued Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other publicly available sources. IBM has not tested those products in connection with this publication and cannot confirm the accuracy of performance, compatibility or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the ability of any such third-party products to interoperate with IBM’s products. IBM expressly disclaims all warranties, expressed or implied, including but not limited to, the implied warranties of merchantability and fitness for a particular, purpose. The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents, copyrights, trademarks or other intellectual property right. IBM, the IBM logo, ibm.com, AIX, BigInsights, Bluemix, CICS, Easy Tier, FlashCopy, FlashSystem, GDPS, GPFS, Guardium, HyperSwap, IBM Cloud Managed Services, IBM Elastic Storage, IBM FlashCore, IBM FlashSystem, IBM MobileFirst, IBM Power Systems, IBM PureSystems, IBM Spectrum, IBM Spectrum Accelerate, IBM Spectrum Archive, IBM Spectrum Control, IBM Spectrum Protect, IBM Spectrum Scale, IBM Spectrum Storage, IBM Spectrum Virtualize, IBM Watson, IBM z Systems, IBM z13, IMS, InfoSphere, Linear Tape File System, OMEGAMON, OpenPower, Parallel Sysplex, Power, POWER, POWER4, POWER7, POWER8, Power Series, Power Systems, Power Systems Software, PowerHA, PowerLinux, PowerVM, PureApplica- tion, RACF, Real-time Compression, Redbooks, RMF, SPSS, Storwize, Symphony, SystemMirror, System Storage, Tivoli, WebSphere, XIV, z Systems, z/OS, z/VM, z/VSE, zEnterprise and zSecure are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at "Copyright and trademark information" at: www.ibm.com/legal/copytrade.shtml. Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates. 46