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sSS0885
IBM Spectrum Scale™
(Elastic Storage) offerings
Tony Pearson
Master Inventor and Senior IT Specialist
IBM Corporation
2. © Copyright IBM Corporation 2015
Abstract
IBM offers software, pre-built systems and cloud services
that take advantage of IBM's Spectrum Scale and
Spectrum Archive for performance and cost advantages in
the marketplace.
1
3. © Copyright IBM Corporation 2015
This week with Tony Pearson
2
Day Time Topic
Monday 10:30am Software Defined Storage -- Why? What? How? (repeats Tuesday)
03:00pm IBM's Cloud Storage Options (repeats Wednesday)
04:30pm Data Footprint Reduction – Understanding IBM Storage Efficiency Options
Tuesday 10:30am Software Defined Storage -- Why? What? How?
12:30pm What Is Big Data? Architectures and Practical Use Cases
01:45pm IBM Smarter Storage Strategy (repeats Wednesday)
Wednesday 09:00am New Generation of Storage Tiering: Less Management Lower Costs and
Increased Performance
10:30am IBM Smarter Storage Strategy
12:30pm IBM's Cloud Storage Options
01:45pm IBM Spectrum Scale (Elastic Storage) Offerings
Thursday 12:30pm The Pendulum Swings Back -- Understanding Converged and
Hyperconverged Environments
05:45pm Storage Meet the Experts
Friday 09:00am IBM Spectrum Storage Integration with OpenStack
4. © Copyright IBM Corporation 2015
The Problem:
Islands of Block, File and Object level data
SAN-level Storage
OS-specific file systems on
block-based devices
Sharing requires file transfers
Provides “Context” for
Analytics of Social and Mobile
transactions
File-level Storage
NAS encourages sharing
across social networks
Desire for file sync-and-
share across desktops and
mobile
HDFS requires transfer
(ingest) from other sourcesJFS2
EXT4
NTFS
CIFS
HDFS
NFS
Object-level Storage
New Web and Mobile apps
prefer Object-level access
Amazon S3
OpenStack
Swift
3
5. © Copyright IBM Corporation 2015
Why use IBM Spectrum Scale™
Extreme Scalability
Add or Remove nodes and
storage, without disruption
or performance impact to
applications
Universal Access to Data
All servers and clients have access
to data through a variety of file and
object protocols
High Performance
Parallel access with no hot spots
Proven Reliability
Used by over 200 of the top 500
Supercomputers
Survive any node or storage failure with
Distributed RAID and redundant components
4
6. © Copyright IBM Corporation 2015
No single-server performance
and bottleneck scaling limits
- NAS filers can be a bottleneck and
significantly impacts system
performance
No centralized metadata server
- Centralized metadata server can
be a performance bottleneck for
metadata intensive operations
TCP/IP Network
Network
File Server
Client
Nodes
Storage
Metadata
Data Data
Network
data
metadata
data
Centralized
Metadata
Server
) (
) (
5
IBM Spectrum Scale™ is different than
other clustered/distributed storage solutions
7. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ –
Software, Systems or Cloud Services
Software
• Install software on
your own choice of
Industry standard x86
or POWER servers
Pre-built Systems
• Elastic Storage Server
with Erasure Coding
• Storwize V7000 Unified
Cloud Services
• Spectrum Scale can
be deployed on any
Cloud
Scale
6
8. © Copyright IBM Corporation 2015
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 systems
Each file system
can be further
divided into fileset
containers
Flash and Disk LUNs
are called Network
Shared Disks (NSD) Metadata can be separated
to its own Pool or
intermixed with data
Files can be
migrated to Tape
7
9. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ – Supported Topologies
Twin-tailed
SAN
Internal, Direct-Attach
Shared PoolsFPO Pools
NSD Servers
Access files on direct,
twin-tailed or SAN
attached disk
Can export files to
application nodes
File Placement
Optimization (FPO)
Servers
Access files on direct
attached disk
Exports files to other
FPO servers
External Clients
Access files via file and object
protocols over IP network
TCP/IP
8
NSD Clients
Access files via
SAN, TCP/IP or
RDMA
TCP/IP or RDMA network
10. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ replaces
other POSIX file systems
SAN
Direct-Attach
SAN-level Storage
JFS2
EXT4
NTFS
• Works like OS-specific file systems
• No file transfers required between OS
• Linux on x86, POWER and z Systems
TCP/IP or RDMA Network
Twin-tailed
9
11. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ – More than just a file system!
10
ROBO
Other NFS
Other
Datacenters
Scale
Active File
Management
(AFM) caches
data to where it is
needed, can be
used to migrate
from other NFS
Information Lifecycle
Management (ILM)
moves data across tiers of
flash and disk
Hierarchical Storage
Management (HSM)
migrates infrequently
accessed files to tape,
automatically recalls back
when accessed
Local Read-Only Cache
(LROC) caches the busiest
blocks of files on local flash
Disaster Recovery
(DR) asynchronously
mirrors data to remote
locations
Migrate/Recall Tape
NSD Client
12. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ – Local Read-only Cache
Local Read-Only Cache
(LROC) caches the busiest
blocks of files on local flash
NSD Client
Local Flash on NSD Clients
Automatically handles the flash cache so data
is transparently available to your application
with very low latency and no code changes
Accelerates I/O performance up to 6x by
reducing the amount of time CPUs wait for data
Improves application performance while
keeping all the manageability benefits of
shared storage
Data is never stale
• Cache consistency ensured by
standard tokens
• Data is protected by checksum
and verified on read
Reduces Network Load
• Decreases the overall load on the IP network,
benefitting performance for others
11
13. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ – Policy Management
12
Migrate/Recall Tape
File Placement
When new files are created, the
active policy assigns it to the right
pool – Flash, 15K, 10K or Nearline
disk
Files can be marked for having
2 or 3 replicas
Files can be encrypted with
specific keys
File Expiration
Delete files
automatically after they
are no longer needed
File Movement (ILM)
Move files between pools
Based on age, size, heat,
access frequently or other
criteria
File Movement (HSM)
Migrate files to an external
pool of tapes
Accessed files are
automatically recalled back to
internal pool of flash or disk
Hierarchical Storage
Management (HSM)
Information Lifecycle
Management (ILM)
14. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ – Active File Management (AFM)
ROBO
Other
Datacenters
Scale
Cloud
Global Namespace
Shows entire file system, on flash,
disk and tape, across all locations
Pre-fetch or Pull on demand
Files can be periodically
pre-fetched in advance, or pulled
on demand when needed
WAN Caching
Files you use most often are cached
to your location for faster access and
availability to avoid WAN delays
NFS Data Migration
Use AFM to cache or migrate data
from other NFS filers
Active File
Management
(AFM)
Other NFS
13
15. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ – Backup and Disaster Recovery
14
Disaster Recovery
(DR) asynchronously
mirrors data to remote
locations
Backup/Recover
FS1
snap1 snap2
Backup to External Media
• Files can be backed up to
IBM Spectrum Protect, or
third-party backup software
Asynchronous Mirror
• Use Active File Manager
across data center locations
• Specify appropriate RPO
Snapshots
• Up to 256 Snapshots of entire file system,
and 256 Snapshots of each file set
• Read-Only, Space-Efficient
• Microsoft VSS Interface
• Writeable File Clones
16. © Copyright IBM Corporation 2015
Native Encryption and Secure Erase
15
Application
Remote Key
Manager (RKM)
TCP/IP or
RDMA
Node-to-Node Encryption
Complies with NIST SP 800-131A
Data-at-Rest Encryption
• Files are encrypted by application node
• Each file assigned random File-key
• Master-key granularity by file or fileset,
determined by policies
• RKM stores Master-keys, and nodes must have
appropriate RKM credentials
• Data is encrypted from application node all the
way to NSD (flash or disk) media
• FIPS 140-2 certified
Secure Erase
• Files are cryptographically erased by deleting
their Master-key
• Files that “stay” are re-Mastered to new key
17. © Copyright IBM Corporation 2015
SAN
Twin-tailed
Protocol Servers
NFS, CIFS
AIX, Linux,
Mac OS X,
Windows,
VMware,
z/OS
Feature of Spectrum Scale
on Linux
Share files with clients
using NFS, CIFS and Object
protocols
All nodes can share the
same data
If Protocol Server Node
fails client connections are
moved to another server
Protocol Server Node(s)
need “NSD Server” License
External Clients need no
Spectrum Scale License
Clustered Protocol Servers
16
TCP/IP
OpenStack
18. © Copyright IBM Corporation 2015
Spectrum Scale supports OpenStack environments
17
Glance
• VM images
• Disk images
Cinder
• Volumes
Swift
• Objects
Manila
• File systems
Global Name Space
Volume-on-file Object-on-file
• Create, Delete and Extend volumes
• Take snapshots (FlashCopy) and clones
• Volumes Images, Images Volumes
• Attach and Detach to/from VM instances
• Create and Delete containers in account
• Upload, Download and Delete objects
• List containers or objects in a container
• Display and update metadata
Keystone
• Access control
19. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ –
Software, Systems or Cloud Services
Software
• Install software on
your own choice of
Industry standard x86
or POWER servers
Pre-built Systems
• Elastic Storage Server
with Erasure Coding
• Storwize V7000 Unified
Cloud Services
• Spectrum Scale can
be deployed on any
Cloud
Scale
18
20. © Copyright IBM Corporation 2015
Storage Approach: Carpeting versus Rugs
Area Rugs Approach
Some clients want tactical point products for
particular workloads or applications, specific
projects, groups or remote office/branch office
(ROBO)
• Elastic Storage Server
• Storwize V7000 Unified
Wall-to-Wall Carpeting Approach
Some clients want a strategic, enterprise-wide
storage solution for all of their workloads,
applications and servers.
Spectrum Scale can provide Universal
Access to all of your servers and clients
across locations
19
21. © Copyright IBM Corporation 2015
Twin-tailed
Secret
Sauce
IBM Spectrum Scale™ – Pre-Built Systems
NSD Clients
Windows, Linux
and AIX servers
External Clients
Access files via
NFS, CIFS, HTTPS,
SCP and FTP
protocols
Storwize V7000
Unified
“File & Block
Unified appliance”
Twin-tailed
Elastic Storage
Server
“Building
block”
TCP/IP Network
20
TCP/IP or
RDMA
NSD Servers
Windows, Linux
and AIX servers
SAN
Application Hosts
Access block-level LUNs
via FCP, iSCSI and FCoE
protocols
22. © Copyright IBM Corporation 2015
Spectrum Scale – Pre-built Systems
21
5146-GLx models
GL2, GL4, GL6
60-drive 4U drawers
SSD and Nearline
5146-GSx models
GS1, GS2, GS4, GS6
24-drive 2U drawers
SSD and 10K HDD
IBM POWER8
servers NSD Client
Twin-tailed
Elastic
Storage
Server
TCP/IP or
RDMA
23. © Copyright IBM Corporation 2015
Reduce Costs and Increase Availability
with Spectrum Scale Native RAID
Dedicated
RAID Controllers
Flash / Disk Enclosures
RAID RAID
Spectrum Scale Native RAID distributes data,
parity and spare space uniformly across all
drives of enclosure using either 8+2P or 8+3P
Erasure Coding.
This distribution reduces the rebuild or disk
failure recovery process overhead
compared to conventional RAID
Critical rebuilds of failed full multi-
terabyte drives can be accomplished
in minutes—rather than hours or even
days when using traditional RAID
technology
RAID
Flash / Disk Enclosures
22
24. © Copyright IBM Corporation 2015
•Power S822L Servers
•20 Cores Each
•Power Expansion Chassis
•Uses 2U, 24 Drive Storage Enclosures
•400, 800 GB SSD Drives or 1.2 TB 10K Drives
•10 Gb, 40 Gb Enet, FDR Infiniband
•xCat or Platform Cluster Mgr. Opt.
•Management/GUI Server
•Spectrum Scale Software
•Spectrum Scale RAID
•Red Hat 7
Building Block approach to
Growth -- Smaller
Configurations for High
Velocity Ingest or Lower
Cost Entry Point
Model GS1
24 SSD
6 GB/Sec
Model GS2
46 SAS + 2 SSD or
48 SSD Drives
3+ GB/Sec SAS
12 GB/Sec SSD
Model GS4
94 SAS + 2 SSD or
96 SSD Drives
6+ GB/Sec SAS
19+ GB/Sec SSD
Model GS6
142 SAS + 2 SSD
9+ GB/Sec
Performance can be greater or less depending upon networking and workload
Elastic Storage Server GS Models
23
25. © Copyright IBM Corporation 2015
24
Model GL4
Analytics and Cloud
4 Enclosures, 20U
232 NL-SAS, 2 SSD
13+ GB/Sec
Model GL6
PetaScale Storage
6 Enclosures, 28U
348 NL-SAS, 2 SSD
20+ GB/sec
Model GL2
Analytics Focused
2 Enclosures, 12U
116 NL-SAS, 2 SSD
6+ GB/Sec
•Power S822L Servers
•20 Cores Each
•1818-80e Expansion Chassis
•Uses 4U, 60 Drive Storage Enclosures
•2, 4, or 6 TB Nearline Drives
•10 Gb, 40 Gb Enet, FDR Infiniband
•xCat or Platform Cluster Mgr. Opt.
•Management/GUI Server
•Spectrum Scale Software
•Spectrum Scale RAID
•Red Hat 7
Performance can be greater or less depending upon networking and workload
Elastic Storage Server GL Models
Client-Ready Petabytes in
Single Rack -- High Capacity
Storage for Analytics and
Cloud Serving
24
26. © Copyright IBM Corporation 2015
Twin-tailed Twin-tailed
Aren’t Elastic Storage Servers just
“Islands of Storage”? No!
Files translated
in blocks
…
NSD Client does real-time parallel
I/O to all the NSD servers and
storage volumes
All NSD servers export to all
the clients in active-active mode
Elastic Storage wide-stripes the files
across NSD servers in units of
file-system block-size
File-system load spread evenly
across all the servers -- No
Hotspots!
Easy to scale file-system capacity
and performance while keeping
the architecture balanced
…
NSD Client
NSD Servers
Global Name Space …
25
27. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ solves “Dropbox problem”
for File Sync-and-Share
SAN
Internal,
Direct-Attach
No IT Control:
• Servers and storage
• Security
• Access control
• User provisioning
• Sensitive data
26
TCP/IP or RFMA Network
Twin-tailed
28. © Copyright IBM Corporation 2015
Share-Nothing versus Shared-Disk Deployments
Data
Data
Data Parity
Data
Data
Data
Copy
Copy
Copy
Copy
Copy
Copy
TCP/IP
or RDMA
Need more compute?
Add another node!
Spectrum Scale and Elastic Storage
Server reduce storage to one
RAID-protected copy of the data
Scale compute and storage
capacity separately
Spectrum Scale FPO
can keep 1,2 or 3
replicas of the data
Need more
storage capacity?
Add another
node!
27
3x versus 1.3x
TCP/IP
or RDMA
29. © Copyright IBM Corporation 2015
HDFS
Namenode
Secondary
Namenode
IBM Spectrum Scale™ – File Placement Optimization
SAN
Internal, Direct-Attach
• Spectrum Scale avoids the need for a central namenode, a
common failure point in HDFS
• Avoid long recovery times in the event of namenode
failure
• Spectrum Scale can consist of a mix of FPO and standard
NSD servers, NSD client nodes, and Elastic Storage
Servers (ESS) in the same cluster
File Placement
Optimization (FPO)
Creates a “share nothing”
cluster similar to HDFS in
Hadoop environments
28
TCP/IP or RDMA
30. © Copyright IBM Corporation 2015
Hadoop Analytics – HDFS vs IBM Spectrum Scale™
HDFS
Save
Results
Discard
rest
IBM Hadoop
Connector allows
Map/Reduce
programs to process
data without
application changes
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!
29
31. © Copyright IBM Corporation 2015
TCP/IP or RDMA
IBM Spectrum Scale™ as Object Storage
30
SAN
OpenStack Swift
Amazon S3
Amazon S3
OpenStack
Swift
Object Store
Object Store Object-level Storage
Twin-tailed
Elastic
Storage
Server
TCP/IP Network
Network load balancer
32. © Copyright IBM Corporation 2015
IBM Spectrum Scale – Tape options
31
• For Spectrum Protect or HPSS
• HSM client is installed on
Spectrum Scale cluster
• Spectrum Scale sends
migrations copy to HSM sever
• HSM Server stores data in
proprietary format
IBM Spectrum Protect IBM Spectrum Archive
Spectrum Archive is
installed on select NSD
servers of Spectrum Scale
cluster
Spectrum Archive migrates
data directly to LTFS-format
tape
Spectrum Scale
Cluster
SAN
Spectrum Scale
Cluster
SAN
HSM
Client
HSM Server
IBM Spectrum
Protect (and HPSS)
support a variety of
flash, disk, virtual
and physical tape
libraries, and even
optical libraries
IBM Spectrum
Archive eliminates a
need for a TSM
server, but is limited
to LTFS-enabled
tape libraries
DB
LTFS
HSM
Spectrum
Archive
33. © Copyright IBM Corporation 2015
IBM Spectrum Scale™ –
Software, Systems or Cloud Services
Software
• Install software on
your own choice of
Industry standard x86
or POWER servers
Pre-built Systems
• Elastic Storage Server
with Erasure Coding
• Storwize V7000 Unified
Cloud Services
• Spectrum Scale can
be deployed on any
Cloud
Scale
32
34. © Copyright IBM Corporation 2015
IBM Spectrum Scale on any Cloud
Active File
Management
Private VLAN
33
Scale
Scale
NSD Clients and Servers
can be deployed within a
Private VLAN on any
Cloud
35. © Copyright IBM Corporation 2015
The Solution:
IBM Spectrum Scale™ brings it all together
Global Name Space
IBM Spectrum
Scale™ replaces
SAN-based file
systems
Replaces NTFS, EXT4,
JFS2 and other POSIX
file systems
Used by over 200 of the
top 500 supercomputers
No file transfers
required between
different OS
Can be used with
everything from
databases to video
streaming
For x86, POWER and
z System servers
Secure with
Data-at-rest encryption
IBM Spectrum Scale™ replaces HDFS and NAS file storage
Full Hadoop interfaces for Map/Reduce analytics processing
No transfer or ingest required as the data is already there
Fully protected with Backup Software
File-level access support for NFS, CIFS, FTP, SCP and HTTPS
Supports File Sync-and-Share
via OwnCloud or Funambol
IBM Spectrum
Scale™ offers
Object access
Object-level access
based on OpenStack
Swift and Amazon
S3 interfaces
IBM Spectrum Scale™
supports all media
Spans flash, disk and tape
media
34
36. © Copyright IBM Corporation 2015
IBM Software Defined Storage
Data Plane
IBM Software Defined Storage
Control Plane
IBM for Software Defined Storage
Universal access to data
• Global Namespace with over 10
billion files
Proven Reliability
• Introduced as GPFS in 1998
• Over 1,000 production systems
High performance
• Over 400 GB/sec throughput on
single system
Extreme scalability
• Clusters with over 10,000 nodes
• File systems with over 30 PB of data
Scale
Control Protect
IBM ranked #1 in Software
Defined Storage with
40% market share in 2014
35
VirtualizeAccelerate Archive
37. © Copyright IBM Corporation 2015 36
Some great prizes
to be won!
Please fill out an evaluation!
Session: sSS0885
39. © Copyright IBM Corporation 2015
IBM Spectrum Scale Version 4.1
http://www.ibm.com/systems/storage/spectrum/scale/resources.html
38
40. © Copyright IBM Corporation 2015 39
OpenStack & Spectrum Scale
• OpenStack (as of Havana release) includes a Cinder driver
• Giving architects access to the features and capabilities of the industry’s
leading enterprise scale-out software defined storage
• With OpenStack on Spectrum Scale, all nodes see all data
• Copying data between services, like Glance to Cinder is minimized
or eliminated
• Speeding instance creation and conserving storage space
• Rich set of data management and information lifecycle features
• Efficient file clones
• Policy based automation optimizing data placement for locality or
performance tier
• Industrial strength reliability, minimizing risk
• Cinder driver provides resilient block storage, minimal data copying between
services, speedy instance creation and efficient space utilization
Cinder Integration
Swift Integration
• Consolidate File and Object under a single shared storage infrastructure.
• Simplifies data management:
• Global namespace eliminates the physical client-to-server mappings
• Ideal platform to perform common storage management tasks, such as
automated storage tiering and user transparent data migration
• Flat namespace eliminates the hassle of organizing data in a hierarchical
namespace
41. © Copyright IBM Corporation 2015
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
40
42. © Copyright IBM Corporation 2015
About the Speaker
Tony Pearson is a Master Inventor and Senior managing consultant for the IBM System Storage™ product line. Tony joined
IBM Corporation in 1986 in Tucson, Arizona, USA, and has been there ever since. In his current role, Tony presents briefings
on storage topics covering the entire System Storage product line, and topics related to Cloud, Analytics and Social media. 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 software, hardware and virtualization products.
Tony writes the “Inside System Storage” blog, which is read by hundreds 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 into a series of books, Inside System Storage:
Volumes I through V.
Over the years, Tony has worked in development, marketing and consulting positions 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 IBM 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 Specialist
IBM System Storage™
41
43. © Copyright IBM Corporation 2015
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:
www.linkedin.com/profile/view?id=103718598
Additional Resources from Tony Pearson
42
44. © Copyright IBM Corporation 2015
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