IBM Storage Presentation Covers Software Defined, Analytics and Cloud Solutions

© 2017 IBM Corporation
IBM Storage
Software Defined, Analytics, Cognitive, and
Cloud Storage solutions
Tony Pearson – IBM Master Inventor and Senior IT Architect
March 2017

IBM Storage Presentation
Agenda
Perform quickly
Scale Dramatically
Support Elasticity
Cloud, Analytics,
Mobil and Social
Support operations
Manage cost
Grow systematically
Traditional workloads
• Software Defined
Storage solutions
• Analytics and Cognitive
Storage solutions
• IBM Cloud Storage
solutions
2

How is Software Defined Environment different?
Applications…
Business Requirements
Infrastructure…
Servers, Storage, Networks
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
Facilities
Server
Admin
Storage
Admin
Application Owner
Network
Admin
3

Hardware independence
Integrated view
Ease of management
Scalability
Cost savings
Increased utilization
Speed
Flexible
Remove bottlenecks
Open approach to infrastructure
SDS Benefits Mentioned (unaided)
Since results are based on qualitative findings specific
number of mentions intentionally removed from chart
SDS expected value – Top 7 Reasons
4

Control Plane vs. Data Plane
Data Plane
Control Plane
Resource Pools
and Quotas Quality of Service (QoS)
Independent
Scalability
5

OpenStack IBM Bluemix Proprietary
IBM is a platinum sponsor of
OpenStack Foundation
OpenStack open source code
can manage IBM compute,
network and storage resources
OpenStack supports x86, POWER
Systems and z System mainframe
IBM offers OpenStack Cinder
interfaces on most of its major
storage products and OpenStack
Swift interfaces for object access
IBM offerings are based on
OpenStack open source code with
value-added proprietary
features from IBM
IBM Cloud Orchestrator
supports a variety of server
hypervisors. IBM BlueBox and
IBM PowerVC provide additional
features
IBM Spectrum Control™ provide
reporting, provisioning, trouble
shooting and chargeback
capabilities
VMware and Microsoft are
entirely proprietary, but have a
large market share for x86-based
server infrastructure
IBM was VMware’s first OEM and
joint development partner (since
1998) IBM Global Services is one
of VMware’s largest customers
IBM and Microsoft agreement to
offer SQL Server and .NET on
IBM Cloud and IBM software on
Microsoft Azure
“Some assembly required” Enterprise-ready out of the box
x86, POWER systems and z System mainframe Concerns about vendor lock-in
IBM is Focused on these Software Defined Environments
6

Software Defined Control and Deployment
Administrator-
Controlled Software-Controlled
How is it controlled?
• ProtecTIER appliance
and gateway
• IBM Spectrum
Storage™ family
• XIV Storage System
• IBM Cloud Object
Storage System
Howisitdeployed?
Industry-Standard
Hardware
• Software
• Pre-built systems
• Cloud services
• Enterprise Tape drives
and libraries
• FlashSystem
• Storwize with
Intel QuickAssist
• DS8000
Specialized Hardware
• Co-processors
• ASICs, FPGAs
• AdaptersI II
IVIII
Storage for
Software Defined Environments
Software Defined Storage
Runs on industry-standard
hardware
Full suite of storage services
Embraces multiple storage
options
7

Different Clients have Different Focus
Cloud and
Managed Service
Providers
• Focus on industry-standard x86 and OpenPOWER servers
that can be quickly re-purposed
• Offer services based on advanced software
that can be deployed as needed on existing
industry-standard equipment
• Predictable, consistent performance
Focus:
Industry-standard HW
Focus:
Software
Controls
• Focus on Software APIs to simplify,
automate and control existing investments
• Use specialized hardware to provide optimal
performance for mission-critical applications
Data Centers
8

IBM Storage Portfolio – Family Portrait
IBM Spectrum
Control
IBM Spectrum Scale
Elastic Storage Server
IBM
Spectrum
Archive
DeepFlash 150
IBM Spectrum Virtualize
SVC, Storwize
IBM Spectrum
Protect
IBM Cloud
Object
Storage
System
Virtual
Tape
Systems
FlashSystem
IBM
Spectrum
Accelerate
Libraries
IBM Spectrum
Copy Data
Management
XIV Drives
DS8000
All-Flash
Flash/Disk
Hybrid
Data
Management
Object
Store Disk/Tape
Physical
Tape
9

IBM Storage Portfolio – Software Defined Block Storage
Spectrum Scale
IBM Spectrum Virtualize
IBM Spectrum Accelerate
FlashSystem XIV
DS8000
All-Flash
Flash/Disk
Hybrid
• Storage virtualization of almost 400 different flash
and disk systems
• Thin provisioning, Real-time Compression (RtC),
FlashCopy and Remote Mirroring capability
• Based on technology from SAN Volume Controller
and Storwize family of products
• Offers hot-spot free block-level access across
internal flash and disk resources
• Thin provisioning, Space-efficient Snapshots and
Remote Mirroring capability
• Based on technology from XIV Storage System
10

IBM Storage Portfolio – Software Defined File and Object Storage
11
Spectrum Scale
Spectrum
Archive
All-Flash
Flash/Disk
Hybrid
Data
Management
Object
Store
Physical
Tape
• Offers a global name space of file and object
access storage
• Space-efficient snapshots, Information Lifecycle
management (ILM), Active File Management
(AFM) and remote mirroring
• Based on technology from IBM General Parallel
File System (GPFS)
• Extends IBM Spectrum Scale™ to IBM
tape libraries, with LTO or Enterprise
tape drives
• Drastically lowers the cost for
long-term data retention
• Based on technology from IBM Linear
Tape File System (LTFS)

IBM Storage Portfolio – Data Management Solutions
12
Spectrum
Control
Spectrum
Protect
Spectrum
Copy Data
Management
Data
Management
• Capacity Planning and
Provisioning
• Performance Monitoring and
Alerts
• Storage Analytics
• Policy-based Automation
• Service level provisioning
• Reclaim space
• Optimize data placement
• Based on technology from
IBM SmartCloud Virtual
Storage Center, IBM Tivoli
Storage Productivity Center
• Offers Backup, Archive and HSM
capabilities
• Extended to support Virtual and
Cloud environments
• Based on technology from IBM
Tivoli Storage Manager Unified
Backup and Recovery Suite
• In place copy management for
storage reduction, on-premises
and cloud copy creation
automation for increased agility

IBM Spectrum Storage™ Three-pronged Strategy
Software, Systems or Services
Software
• Install software on your
own choice of qualified
industry-standard x86,
POWER and z System
servers
Pre-built Systems
• Deliver hardware pre-
installed with software
• Partner with third party
providers that provided
added value and services
Cloud Services
• Provide offerings on
IBM Bluemix Cloud
• Partner with other Cloud
Service Providers
Scale
13

Agenda
Perform quickly
Scale Dramatically
Support Elasticity
Cloud, Analytics,
Mobil and Social
Support operations
Manage cost
Grow systematically
Storage solutions
Storage solutions
solutions
14

A new way at Looking at Data
Transaction and
Application data
Database
Administrators
System of Record
Gather data into
databases
1
ReportsBatch
Processing
Business
Analysts
Analyze reports
2
Business Executives
Make decisions
3
statistical
models Dashboard
Analyze data2
Data
Scientists
Empowered Employees
Make Decisions
and Take Action
3
System of Insight
Gather and Identify sources of data
1
Storage
Administrators
15

What does a Data Scientist do?
“It’s no longer hard to find the answer to a
given question; the hard part is finding the
right question. And as questions evolve, we
gain better insight into our ecosystem and
our business.”
-- Kevin Weil, Lead Analyst at Twitter
A data scientist must have…
– Strong business acumen
– Modeling, statistics, analytics and math skills
– Ability to communicate findings, tell a story
from the data, to both business and IT leaders
Inquisitive: exploring, doing “what if?”
analyses, questioning existing assumptions
and processes to spot trends, patterns and
hidden insight.
Computers are useless.
They can only give you
answers.
– Pablo Picasso
Source: http://www-01.ibm.com/software/data/infosphere/data-scientist/
http://blog.cloudera.com/blog/2010/09/twitter-analytics-lead-kevin-weil-and-a-presenter-at-hadoop-world-interviewed/
16

IBM InfoSphere BigInsights is a 100% standard Hadoop distribution
By default, open source components are always deployed
Elect to use proprietary capabilities depending on your needs
In some cases, proprietary capabilities offer significant benefits
Open standards first, but with freedom of choice
HDFS
YARN
HIVE
MapReduce
PIG
Spectrum
Scale
Spectrum
Symphony
BigSQL
Adaptive
MapReduce
BigSheets
Share data with non-Hadoop
applications and simplify data
management
Re-use existing tools and expertise,
Avoid additional development costs
Boost performance, support time-
critical workloads, do more with
less
True multi-tenancy to boost service
levels and avoid duplication on
infrastructure
Simplify access for end-users,
minimize software development
17

Spectrum Scale – Flexible File and Object Storage
FS1 FS256. . .
Exabyte-Scale, Global Namespace,
one big file system, or up to 256 file
systems
Each file system can
be further divided into
fileset containers
Metadata can be separated to
its own Pool or intermixed with
data
Files and objects
can be migrated to
Tape, Object store,
or Cloud
ROBO
Other
Datacenters
18

Elastic Storage Server (ESS) – Spectrum Scale Pre-built Systems
5146-GLx models
GL2, GL4, GL6
60-drive 4U drawers
• SSD and Nearline HDD
5146-GSx models
GS1, GS2, GS4, GS6
24-drive 2U drawers
• All SSD
• SSD and 10K HDD
Spectrum Scale on
IBM POWER8
servers
5147-GFx models
DeepFlash ESS GF1, GF2
64-drive 3U drawers
• Pre-loaded with 32 drives
• All SSD (8 TB)
19

Hadoop Analytics – HDFS vs IBM Spectrum Scale™
HDFS Save
Results
Discard
Rest
IBM
HDFS Transparency
Connector allows
HDFS-based programs to
process data without
application changes
(100% compatible)
IBM Spectrum Scale
Application data
stored on IBM
Spectrum Scale is
readily available for
analytics
Save
Results
JFS2
NTFS
EXT4
Data Sources
mashup of structured and
unstructured data from a variety
of sources
Actionable Insights
Provides answers to the
Who, What, Where,
When, Why and How
Business Intelligence
& Predictive Analytics
> Competitive Advantages
> New Threats and Fraud
> Changing Needs
and Forecasting
> And More!
20

Agenda
Perform quickly
Scale Dramatically
Support Elasticity
Cloud, Analytics,
Mobil and Social
Support operations
Manage cost
Grow systematically
Storage solutions
Storage solutions
solutions
21

Clients are facing explosive growth in Unstructured Data,
which is exactly why Object Storage is so critical
*Exabytes
0
20
40
60
80
100
120
2009 2010 2011 2012 2013 2014 2015 2016 2017
Unstructured Data
Structured Data
Source: IDC
Unstructured
data growth of
60–80%
per year
creates
Web-scale
storage needs
*1 exabyte = 1,000 petabytes =1 million terabytes = 1 billion gigabytes
Problem - Traditional and Legacy Storage Designed for
Transactional, Not Unstructured Data
22

Object Store for Unstructured data
Hot Data
High-IOPS and Low-Latency
All-Flash and Hybrid Flash/Disk
Information Lifecycle Management
(ILM)
Structured data / Random-Access
Virtual Machines and VDI
Single-Tenancy
Static and Stable data
Backups, Files, Archives
Seismic, Research, Telemetry, HPC
Video, Animation, Body Cams
Photos, Images, CAD/CAM, GIS
Music, Audio
Genomic, Medical Images
Multi-tenancy
Object Store provides a
• Secure
• Reliable
• Scalable
• Cost Effective
Platform For Unstructured data
Object Store
is not designed for
• High IOPS workflows
• Transaction
Processing
• Inherent ILM
23

How is Object Storage Different?
Block and File Storage
– Decide where to put it
• For block, which array/volume/LUN
• For file, which filer/subdirectory
– Remember where it is to get it back
– Read/Write records, append data
– Limits on LUN size, number of files
Object Storage
– Provide data over to the Object storage
• Get “claim stub” reference locator
– Use or share “claim stub” to access
data HTTP, Openstack Swift, S3
– Get/Put/Delete object in its entirety
– Effectively “unlimited” scalability
24

Data Protection Schemes
Tolerate 1 drive failure Tolerate 2 drive failures Tolerate “M” failures
RAID-1 / RAID-10
K pieces 2 x K slices
RAID-5
K pieces K + 1 slices
2.0X
1.2X
3.0X
1.5X
1.7XTriplication
K pieces 3 x K slices
RAID-6
K pieces K + 2 slices
Erasure Coding
K pieces K+M =
N slices
25

Data Growth at Petabyte (PB) Scale
PB of data
3 to 5x
Data Protection
RAID, Mirrors,
Replication, Tape
Data Protection
High Availability & Disaster Recovery
Geo-Distribution & Erasure Coding
Infrastructure
Proprietary, specialized
hardware, multiple systems
Operations
More than 1 FTE per PB
Maintenance outages
Infrastructure
Software Defined,
Commodity Hardware,
Single System
Operations
Less than 1 FTE per 6 PB
Single system, Secure
Self-healing
1.7 x 60% Less
Hardware &
Rack space
Traditional
Approach
IBM Cloud
Object Storage
Approach
70%
Lower
TCO

CONTENT
TRANSFORMATION
IBM Cloud software
encrypts, slices and
applies Information
Dispersal Algorithms
otherwise known as
erasure coding
policies to the data.
Data Ingest
Accesser
Software
Storage Nodes
Site 1 Site 2 Site 3
Physical Distribution
Slices are distributed to
separate disks and industry
standard x86 hardware
across geographic locations.
Data Retrieval
Storage Nodes
Reliable Retrieval
An operator defined subset of
slices is needed to retrieve
data bit perfectly in real time.
BENEFITS
The level of
resiliency is fully
customizable
resulting in a
massively reliable
and efficient way to
store data at scale
as opposed to RAID
and replication
techniques.
Accesser
Software
Slicestor
Software
How the IBM Cloud Object Storage System Works
27

IBM Cloud Object Storage System – Single vs. Multi-Site
28
Single Site
Better performance,
when site-tolerance
not a factor, better
than traditional
RAID-5 / RAID-6
Two Site – Vault Mirroring
Allows customers to leverage existing two-site
infrastructure. Provides concurrent reads and
writes despite communication disruption
between locations. Local data better than
traditional RAID-5 / RAID-6
Three to Nine Sites – Geographically Dispersed
Consider adding IBM Bluemix Cloud or leverage existing datacenter locations
to provide a broader distribution of data for higher availability and scalability

Scalability
S3 Compatible API Openstack Swift
Compatible API
Simple Object API
Slicestor
Software
Accesser
Software
Scalability – Scale performance
and/or capacity at any time with no
downtime to operations
Need more Performance?
Add more Accesser nodes
Need more Capacity?
Add more disks to existing Slicestor
nodes, or add more storage pools
– All pools must have the same
number of nodes
– Difference storage pools can
have different amounts of storage
– All nodes in each storage pool
must have same amount of
storage
Storage
Pool 1
Storage
Pool 2
Storage
Pool 3
29

IBM Cloud Object Storage System – Access Methods
Data
Compatible API
Simple Object API
Slicestor
Software
Accesser
Software
DIRECT API ACCESS
The Accesser Software exposes three REST
APIs for ingest and retrieval. Applications with
knowledge of these APIs can leverage IBM
Cloud Object Storage directly.
Compatible API
Simple Object API
Slicestor
Software
Accesser
Software
NAS (NFS/SMB) Backup/Archive General Applications
PARTNER BASED
A variety of Certified technology partners can leverage IBM’s
multi tenancy support to satisfy concurrent use cases on a
single IBM Cloud Object Storage instance.
Hadoop
30

IBM Spectrum Protect provides protection and recovery of:
• Workstations, Files and Systems
• Databases and Applications
• Application-aware hardware-based snapshots
• Virtual Environments
• Replicated critical data
• On premises or Cloud
From remote/branch offices to data centers to disaster recovery sites –
We have you covered with our unified solution.
UNIFIED PROTECTION AND RECOVERY
IBM Spectrum Protect family
31

IBM Spectrum Protect – Data Footprint Reduction techniques
Client compression
•Files compressed by client before
transmission
•Conserves network bandwidth and
server storage
Compress
Client-side Deduplication
•Reduces network traffic by
deduplication data before transfer
•Sends to server’s dedupe pool
Progressive
“Incremental Forever”
•After initial backup, file is
not backed up again
unless it changes
•Conserves network
bandwidth and server
storage
Server-side Deduplication and Compression
•Duplicate data only stored once
•In-line dedupe to directory or cloud pools
•Files compressed by server after in-line dedupe for
containers
•Conserves network bandwidth when writing to cloud
Storage Pool
Deduplication and Compression
•Deduplication performed by
storage device (VTL or NAS)
•Compression performed
by storage device (Disk or Tape)
•Conserves storage capacity
Exclusion Rules
•Nodes can configure
include/exclude lists
•Eliminates the need to
process data for backup,
archive and space
management
32

IBM Spectrum Protect – Device Classes and Containers
Physical Tape Drives
and Libraries
Virtual Tape
Libraries (VTL)
--- disk pretending
to be tape
Device Class:
TAPE
Device Class:
FILE
Disk pools written
in sequential
manner, allows
multiple reads
Device Class:
DISK
Pre-allocated space
Random access
Sequential
Access
Device
Class
Container Pools
Container:
DIRECTORY
Container:
CLOUD
Slower,LowercostFaster,moreexpensive
• More intelligent space
utilization and I/O balancing
across directories
• Dynamic allocation and
removal of files like
Sequential FILE volumes
• Re-usable space within a
container like Random DISK
volumes
On-premises or Off-premises
33

Container Pools can be Directory or Cloud-based
Containers are managed by the server
– Very little interaction from administrators
Server1
Directory pool has directories with one
or more Containers
Cloud Pool has just Containers,
represented as Object Store
Dir1
Dir2
Dir3
Dir4
Container 1 Container 5
SAN NAS
34

IBM Spectrum Protect supports Cleversafe!
Client nodes
• IBM Cloud Object Storage System
(using S3-compatible API)
Off-premises:
• IBM SoftLayer
• Amazon S3
On-premises
IBM Spectrum
Protect Server
35

IBM’s approach to storage addresses today’s
challenges, and tomorrow’s opportunities…
Simplify Storage for Hybrid Cloud
Self-service, Software-defined
Deliver IT as a Service, increase access
to information and improve ROI
Accelerate Data Delivery and Insight
Optimal performance with Flash
Real-time Insights from a variety of data
Reduce Costs with Storage Efficiency
Data footprint reduction
Tape and Object storage systems
IBM Storage – Setting the Data Agenda
36
Analytics &
Cognitive
Software Defined
Storage
All-Flash Arrays
Object
Storage
* Source: IDC, Synergy, Gartner. #1 Flash based on capacity shipped
#1
#1
#1
#1

37

38
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/CXrpoCZAazg

About the Speaker
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 holds 19 patents for inventions on storage hardware and software
products.
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
39

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
40

Trademarks and Disclaimers
Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other
countries. IT Infrastructure Library is a registered trademark of the Central Computer and Telecommunications Agency which is now part of the Office of Government Commerce.
Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks
of Intel Corporation or its subsidiaries in the United States and other countries. Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both.
Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. ITIL is a registered trademark, and a
registered community trademark of the Office of Government Commerce, and is registered in the U.S. Patent and Trademark Office. UNIX is a registered trademark of The Open
Group in the United States and other countries. Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates. Cell Broadband
Engine is a trademark of Sony Computer Entertainment, Inc. in the United States, other countries, or both and is used under license therefrom. Linear Tape-Open, LTO, the LTO
Logo, Ultrium, and the Ultrium logo are trademarks of HP, IBM Corp. and Quantum in the U.S. and other countries.
Other product and service names might be trademarks of IBM or other companies. Information is provided "AS IS" without warranty of any kind.
The customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental
costs and performance characteristics may vary by customer.
Information concerning non-IBM products was obtained from a supplier of these products, published announcement material, or other publicly available sources and does not
constitute an endorsement of such products by IBM. Sources for non-IBM list prices and performance numbers are taken from publicly available information, including vendor
announcements and vendor worldwide homepages. IBM has not tested these products and cannot confirm the accuracy of performance, capability, or any other claims related to
non-IBM products. Questions on the capability of non-IBM products should be addressed to the supplier of those products.
All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
Some information addresses anticipated future capabilities. Such information is not intended as a definitive statement of a commitment to specific levels of performance, function or
delivery schedules with respect to any future products. Such commitments are only made in IBM product announcements. The information is presented here to communicate IBM's
current investment and development activities as a good faith effort to help with our customers' future planning.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will
experience will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the
workload processed. Therefore, no assurance can be given that an individual user will achieve throughput or performance improvements equivalent to the ratios stated here.
Prices are suggested U.S. list prices and are subject to change without notice. Starting price may not include a hard drive, operating system or other features. Contact your IBM
representative or Business Partner for the most current pricing in your geography.
Photographs shown may be engineering prototypes. Changes may be incorporated in production models.
© IBM Corporation 2016. All rights reserved.
References in this document to IBM products or services do not imply that IBM intends to make them available in every country.
Trademarks of International Business Machines Corporation in the United States, other countries, or both can be found on the
World Wide Web at http://www.ibm.com/legal/copytrade.shtml.
ZSP03490-USEN-00
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