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IBM Spectrum Scale for File and Object Storage
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IBM Spectrum Scale for File and Object Storage
1.
© Copyright IBM
Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. cIS4107 IBM Spectrum Scale for File and Object storage Tony Pearson Master Inventor and Senior IT Specialist IBM Corporation
2.
2 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Abstract IBM is ranked #1 in Software Defined Storage, and the latest release of IBM Spectrum Scale now offers additional support for connecting files and objects with the rest of your data center. Come learn how Spectrum Scale and Elastic Storage Server can help you.
3.
3 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. This week with Tony Pearson Day Time Topic Monday 10:15am Opening Session – Storage 01:45pm IBM's Cloud Storage Options Tuesday 11:30am Software Defined Storage -- Why? What? How? 03:15pm The Pendulum Swings Back – Understanding Converged and Hyperconverged Environments 04:30pm New Generation of Storage Tiering: Less Management Lower Cost and Increased Performance Wednesday 09:00am What Is Big Data? Architectures and Practical Use Cases 01:45pm Data Footprint Reduction – Understanding IBM Storage Efficiency Options 03:15pm IBM Spectrum Virtualize – SVC, Storwize and FlashSystem V9000 (repeats Friday) Thursday 10:15am IBM Spectrum Scale and Elastic Storage Offerings 01:45pm IBM Spectrum Scale for File and Object storage 03:15pm IBM Storage Integration with OpenStack 05:45pm Storage -- Meet the Experts Friday 10:15am IBM Spectrum Virtualize – SVC, Storwize and FlashSystem V9000
4.
4 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. The Problem: Islands of Block, File and Object level data Volume-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 SMB HDFS NFS Object-level Storage New Web and Mobile apps prefer Object-level access Amazon S3 OpenStack Swift
5.
5 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Volume vs. File vs. Object level access POSIX Read record Write record Volume Read block Write block SAN or LAN LAN or WAN File Read record Write record LAN or WAN Object Get, Put, Delete NAS Read record Write record HTTP Get, Put Delete
6.
6 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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
7.
7 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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
8.
8 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Spectrum Scale – Flexible File and Object Storage FS1 FS256. . .Exabyte-Scale, Global Namespace for files and objects 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 Flash and Disk LUNs are called Network Shared Disks (NSD) Metadata can be separated to its own Pool or intermixed with data Files and objects can be migrated to Tape
9.
9 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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 NSD Clients For Linux, AIX, and Windows Access files via SAN, TCP/IP or RDMA TCP/IP or RDMA network
10.
10 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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
11.
11 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. IBM Spectrum Scale™ – More than just a file system! 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 Hierarchical Storage Management (HSM) migrates infrequently accessed files to tape, 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) asynchronously mirrors data to remote locations Migrate/Recall Tape NSD Client Information Lifecycle Management (ILM) moves data across tiers of flash and disk
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12 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. IBM Spectrum Scale™ – Local Read-only Cache 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 • Write cache on two separate client nodes, or shared fast storage device Reduces Network Load • Decreases the overall load on the IP network, benefitting performance for others Local Read-Only Cache (LROC) and Highly-Available Write Cache (HAWC) caches the busiest blocks of files on local flash
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13 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. IBM Spectrum Scale™ – Policy Management 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)
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14 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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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15 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. IBM Spectrum Scale on any Cloud Active File Management Private VLAN Scale Scale NSD Clients and Servers can be deployed within a Private VLAN on any Cloud
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16 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. IBM Spectrum Scale™ – Backup and Disaster Recovery 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
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17 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Native Encryption and Secure Erase 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
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18 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. SAN Twin-tailed Protocol Servers NFS v3/v4 SMB2 / SMB3 AIX, Linux, Mac OS, Windows, VMware, z/OS, etc. Feature of IBM Spectrum Scale on Linux nodes Share files with clients using NFS, SMB 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 for File and Object access TCP/IP OpenStack Swift / S3
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19 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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 ) ( ) ( IBM Spectrum Scale™ is different than other clustered/distributed storage solutions
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20 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. NFS v3 versus NFS v4 Feature NFS v3 NFS v4 Exports Each export mounted separately Pseudo File System combines all exports State Stateless, no tracking of what clients open file Stateful, server tracks which clients open/close Firewall Multiple ports required for locking, status, etc. Single port makes NFS v4 “firewall-friendly” Security 32-bit integers for user and group identifiers Strings@Domain enables Kerberos Character set ASCII-7 requires all locales match UTF-8 universal access NFS v2 and v3 were originally developed by Sun Microsystems, which later turned over control to IETF for NFS v4
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21 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. CIFS, SMB 2 and SMB 3 Feature SMB1, SMB2, SMB2.1 SMB 3 Availability Stateful retry Transparent Failover SMB Scale-out Connectivity TCP/IP, single channel TCP/IP or RDMA, SMB Multichannel Performance Client reads directory metadata as needed Client caches directory metadata with Leasing Encryption None Data In-flight AES-128 between client / server Snapshot Interface None Volume Shadow Copy Services (VSS) CIFS – Part of Microsoft Windows NT 4.0 in 1996. SMB1 supersedes this version. SMB1 – Windows 2000, Windows XP, Windows Server 2003 and 2003 R2 SMB2 – Windows Vista (SP1 or later) and Windows Server 2008 SMB2.1 – Windows 7 and Windows Server 2008 R2 SMB3 – Windows 8 and Windows Server 2012
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22 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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 TCP/IP or RFMA Network Twin-tailed
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23 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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 TCP/IP or RDMA
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24 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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!
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25 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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! 3x versus 1.3x TCP/IP or RDMA
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26 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. SAN Twin-tailed Protocol Servers NFS v3/v4 SMB2 / SMB3 AIX, Linux, Mac OS, Windows, VMware, z/OS, etc. Feature of IBM Spectrum Scale on Linux nodes Share files with clients using NFS, SMB 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 for File and Object access TCP/IP OpenStack Swift / S3
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27 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. One Dashboard – One Cloud Compute • Hypervisors • Virtual Machines • VM images Storage • Volumes • Objects • File Systems Shared Services • Identity management for users/passwords • Usage Statistics Metering Network • Focused on TCP/IP based networks Users, Developers, Administrators OpenStack software controls large pools of compute, storage and networking resources throughout a datacenter, managed through a dashboard or via the OpenStack API Dashboard • GUI and CLI interfaces • Orchestration • Private Cloud • Public Cloud
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28 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. OpenStack terminology Compute Storage Shared Services Network Nova • Hypervisors • VM instances Glance • VM images • Disk images Cinder • Volumes Swift • Objects Manila • File systems Keystone • Policy and authentication services, users and passwords Ceilometer • Usage Statistics Metering Neutron • VPN • Firewall • Load Balancing Heat • Orchestration, coordinate the deployment of resources for an application Horizon • OpenStack dashboard, a web application that runs on Apache
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29 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Spectrum Scale supports OpenStack environments 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
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30 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. OpenStack terminology – Storage Cinder • Volumes Swift • Objects Manila • File systems Provides coordinated access to shared or distributed file systems. The primary consumption of file shares would be across OpenStack Compute instances. Block LUN Volume- on-file Volume- on-object Create, Delete and Extend volumes; take snapshots, images and clones; attach/detach from VM instances Create and Delete containers and objects – Storing an object is like “valet parking” your data Object- on-file Object-on- database
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31 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Account / Container / Object architecture Comparable to a mount point or root directory Comparable to individual files Comparable to a top level directory
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32 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Using OpenStack Swift
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33 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. TCP/IP or RDMA IBM Spectrum Scale™ for file and object clients SAN Protocol Nodes Twin-tailed Elastic Storage Server TCP/IP Network Network load balancer Combined Proxy and Storage nodes Storage nodes Proxy nodes OpenStack zones configured as Spectrum Scale Failure Groups Object: OpenStack Swift Swift S3
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34 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Enables hybrid cloud data protection, without gateway appliances New storage pool options within IBM Spectrum Protect hierarchy – On IBM SoftLayer cloud* – On-premises native object stores, such as IBM Spectrum Scale Uses OpenStack Swift interfaces Data Center On-premises Storage Pools Cloud Storage Pools IBM Spectrum Protect Servers Spectrum Protect -- New cloud and native object storage pools * Other cloud services to be supported in future
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35 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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, SMB, 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 Swift S3 interfaces IBM Spectrum Scale™ supports all media Spans flash, disk and tape media
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36 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. IBM Software Defined Storage Data Plane IBM Software Defined Storage Control Plane IBM for Software Defined Storage Control Protect IBM ranked #1 in Software Defined Storage with 40% market share in 2014 Accelerate Virtualize Scale Archive 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
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37 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Session Evaluations YOUR OPINION MATTERS! Submit four or more session evaluations by 5:30pm Wednesday to be eligible for drawings! *Winners will be notified Thursday morning. Prizes must be picked up at registration desk, during operating hours, by the conclusion of the event. 1 2 3 4
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38 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM.
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39 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Many Features are Common to Swift and Spectrum Scale Multi-tenant data access and management ACLs Role-based Authentication SSL/encryption Multi-Region Geo- replication High-Availability Flat namespace Storage automation Simplified management REST/HTTP Mac/Windows/Linux Swift/S3 API support SDKs User-defined metadata and search capabilities Extensible Swift Middleware Versioning Quotas Expiration Rate Limiting Rolling upgrades
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40 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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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41 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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 lived there ever since. In his current role, Tony presents briefings on storage topics covering the entire System Storage product line, Tivoli storage software products, and topics related to Cloud Computing. 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 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 in series of books, Inside System Storage: Volume I through V. Over the past years, Tony has worked in development, marketing and customer care 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™
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42 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Email: tpearson@us.ibm.com Twitter: twitter.com/az99Øtony Blog: ibm.co/Pearson Books: www.lulu.com/spotlight/99Ø_tony IBM Expert Network on Slideshare: www.slideshare.net/az99Øtony Facebook: www.facebook.com/tony.pearson.16121 Linkedin: www.linkedin.com/profile/view?id=103718598 Additional Resources from Tony Pearson
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43 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. Continue growing your IBM skills ibm.com/training provides a comprehensive portfolio of skills and career accelerators that are designed to meet all your training needs. If you can’t find the training that is right for you with our Global Training Providers, we can help. Contact IBM Training at dpmc@us.ibm.com Global Skills Initiative
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44 IBM Systems Technical
University, October 5-9 | Hilton Orlando © Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM. 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 2015. 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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