S ss0885 spectrum-scale-elastic-edge2015-v5

© Copyright IBM Corporation 2015

Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM.

sSS0885

IBM Spectrum Scale™(Elastic Storage) offeringsTony Pearson

Master Inventor and Senior IT Specialist

IBM Corporation


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.

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This week with Tony Pearson

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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


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

OpenStackSwift

3


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

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� 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

metadatadata Centralized

Metadata

Server

) (

) (

5

IBM Spectrum Scale™ is different thanother clustered/distributed storage solutions


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


Spectrum Scale – Flexible File and Object Storage

FS1FS256. . .

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 filesetcontainers

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

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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

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NSD Clients

� Access files via SAN, TCP/IP or RDMA

TCP/IP or RDMA network


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

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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


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

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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)


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

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IBM Spectrum Scale™ – Backup and Disaster Recovery

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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


Native Encryption and Secure Erase

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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


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

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TCP/IP

OpenStack


Spectrum Scale supports OpenStack environments

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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



Software


Pre-built Systems



Cloud Services


Scale

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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


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

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Twin-tailed

SecretSauce

IBM Spectrum Scale™ – Pre-Built Systems

NSD Clients

� Windows, Linux and AIX servers

External Clients

� Access files viaNFS, CIFS, HTTPS, SCP and FTP protocols

Storwize V7000 Unified

“File & BlockUnified appliance”

Twin-tailed

Elastic Storage Server

“Building block”

TCP/IP Network

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TCP/IP or

RDMA

NSD Servers

� Windows, Linux and AIX servers

SAN

Application Hosts

� Access block-level LUNs via FCP, iSCSI and FCoE protocols


Spectrum Scale – Pre-built Systems

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5146-GLx modelsGL2, GL4, GL660-drive 4U drawersSSD and Nearline

5146-GSx modelsGS1, GS2, GS4, GS624-drive 2U drawersSSD and 10K HDD

IBM POWER8servers NSD Client

Twin-tailed

Elastic Storage

Server

TCP/IP or

RDMA


Reduce Costs and Increase Availabilitywith Spectrum Scale Native RAID

DedicatedRAID 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

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•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 GS124 SSD

6 GB/Sec

Model GS246 SAS + 2 SSD or

48 SSD Drives

3+ GB/Sec SAS 12 GB/Sec SSD

Model GS494 SAS + 2 SSD or

96 SSD Drives

6+ GB/Sec SAS19+ GB/Sec SSD

Model GS6142 SAS + 2 SSD

9+ GB/Sec

Performance can be greater or less depending upon networking and workload

Elastic Storage Server GS Models

23


24

Model GL4Analytics and Cloud

4 Enclosures, 20U

232 NL-SAS, 2 SSD

13+ GB/Sec

Model GL6PetaScale Storage

6 Enclosures, 28U

348 NL-SAS, 2 SSD

20+ GB/sec

Model GL2Analytics 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

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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 …

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IBM Spectrum Scale™ solves “Dropbox problem” for File Sync-and-Share

SAN


No IT Control:• Servers and storage

• Security

• Access control • User provisioning• Sensitive data

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TCP/IP or RFMA Network

Twin-tailed


Share-Nothing versus Shared-Disk Deployments

DataData

Data Parity

DataData

Data

CopyCopy

Copy

CopyCopy

CopyTCP/IP

or RDMA

Need more compute? Add another node!

Spectrum Scale and Elastic Storage

Server reduce storage to oneRAID-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!

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3x versus 1.3x

TCP/IPor RDMA


HDFSNamenode

SecondaryNamenode

IBM Spectrum Scale™ – File Placement Optimization

SAN


• 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

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TCP/IP or RDMA


Hadoop Analytics – HDFS vs IBM Spectrum Scale™

HDFSSaveResults

Discardre

st

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

SaveResults

JFS2

NTFS

EXT4

Data Sources mashup of structured and unstructured data from a variety of sources

Actionable InsightsProvides 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


TCP/IP or RDMA

IBM Spectrum Scale™ as Object Storage

30

SAN

OpenStack Swift Amazon S3

Amazon S3

OpenStackSwift

Object Store

Object Store Object-level Storage

Twin-tailed

Elastic Storage Server

TCP/IP Network

Network load balancer


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

LTFSHSM

Spectrum Archive



Software


Pre-built Systems



Cloud Services


Scale

32


IBM Spectrum Scale on any Cloud

Active File

ManagementPrivate VLAN

33

Scale

Scale

NSD Clients and Servers

can be deployed within a

Private VLAN on any Cloud


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 andz 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-Sharevia 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


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 201435

VirtualizeAccelerate Archive

© Copyright IBM Corporation 2015 36

Some great prizes

to be won!

Please fill out an evaluation!

Session: sSS0885



IBM Spectrum Scale Version 4.1

http://www.ibm.com/systems/storage/spectrum/scale/resources.html

38


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


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

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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)

[email protected]

Tony Pearson

Master Inventor,

Senior IT Specialist

IBM System Storage™

41


Email:[email protected]

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


Continue growing your IBM skills

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43

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S ss0885 spectrum-scale-elastic-edge2015-v5

Technology

pm storage

storage failure

ibm smarter storage

ibm spectrum scale software

software defined storage

systems elastic storage

spectrum archive

performance bottleneck