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AA Sites Overview IMS Replication - IMS UG July 2013 Tokyo
 

AA Sites Overview IMS Replication - IMS UG July 2013 Tokyo

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    AA Sites Overview IMS Replication - IMS UG July 2013 Tokyo AA Sites Overview IMS Replication - IMS UG July 2013 Tokyo Presentation Transcript

    • IBM GDPS Active-Active Sites & IBM InfoSphere IMS Replication for z/OS Overview Greg Vance IMS Development, STSM gvance@us.ibm.com System z environments Smarter Computing © 2013 IBM Corporation gvance@us.ibm.com environments
    • Smarter Computing Availability. References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Acknowledgements and Disclaimers The workshops, sessions and materials have been prepared by IBM or the session speakers and reflect their own views. They are provided for informational purposes only, and are neither intended to, nor shall have the effect of being, legal or other guidance or advice to any participant. While efforts were made to verify the completeness and accuracy of the information contained in this presentation, it is provided AS-IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this presentation or any other materials. Nothing contained in this presentation is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. All 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. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results. © 2013 IBM Corporation2 © Copyright IBM Corporation 2013. All rights reserved. – U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. IBM, the IBM logo, ibm.com, IMS, DB2, CICS and WebSphere MQ are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol (® or ™), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at www.ibm.com/legal/copytrade.shtml Other company, product, or service names may be trademarks or service marks of others.
    • Smarter Computing Active/Active Sites overview – agenda Level set Active/Active Sites overview Preliminary testing results Components IMS Replication System z environments © 2013 IBM Corporation3 IMS Replication Summary CD1SOURCE CD1TABLE CD1SOURCE CD1TABLE CD1SOURCE CD1TABLE CD1SOURCE CD1TABLE CD1SOURCECD1SOURCE CD1TABLECD1CD1TABLE CD1SOURCE CD1TABLE CD1SOURCE CD1TABLE CD1SOURCECD1SOURCE CD1TABLECD1CD1TABLE
    • Level set Active/Active Sites overview Preliminary testing results Components Roadmap Summary Active/Active Sites overview © 2013 IBM Corporation Summary
    • Smarter Computing Customer Requirements for Business Continuity Focusing on the “mission critical” workload Shift from a failover model to a nearly-continuous availability model – Multi-sysplex, multi-platform solution • “Recover my business rather than my platform” • Non-disruptive site switch of workloads for planned outages Minimize cost and Optimize resource utilization – Automated recovery processes (similar to other GDPS solutions), minimizing operator learning curve © 2013 IBM Corporation5 learning curve – Provide workload distribution between sites • Dynamically select sites based on their ability to handle workload • Route around failed sites Provide application level granularity – Current solutions employ an all-or-nothing approach • e.g. complete disk mirroring, requiring extra network capacity). – Some workloads may require immediate access from every site – Some workloads may need to update other sites every 24 hours (less critical data).
    • Smarter Computing GDPS/Active-Active Sites: From HIGH Availability to CONTINUOUS Availability GDPS/PPRC GDPS/XRC or GDPS/GM GDPS/Active-Active Failover model Failover model Near Continuous Availability model Recovery time = 2 minutes Recovery time < 1 hour Recovery time < 1 minute © 2013 IBM Corporation66 Distance < 20 KM Unlimited distance Unlimited distance GDPS/Active-Active is for mission critical workloads that have stringent recovery objectives that can not be achieved using existing GDPS solutions. – RTO approaching zero, measured in seconds for unplanned outages – RPO approaching zero, measured in seconds for unplanned outages – Non-disruptive site switch of workloads for planned outages – At any distance Active-Active is NOT intended to substitute for local availability solutions such as Parallel SYSPLEX
    • Active/Active Sites overview Level set Active/Active Sites overview Preliminary testing results Components IMS Replication Summary © 2013 IBM Corporation Summary
    • Smarter Computing IBM United States Services Announcement 611-023, dated May 24, 2011 - IBM GDPS active/active continuous availability At a glance IBM® GDPS® active/active continuous availability is the next generation of GDPS and represents a fundamental paradigm shift for near continuous availability solutions. Overview IBM GDPS active/active continuous availability is the next generation of GDPS and a fundamental paradigm shift from a failover model to a near continuous availability model. IBM GDPS active/active continuous availability combines the best attributes of the existing suite of GDPS services and expands them to allow you to achieve unlimited distances between your data center sites with recovery time objectives measured in seconds. IBM GDPS active/active continuous availability is a solution for an environment © 2013 IBM Corporation8 seconds. IBM GDPS active/active continuous availability is a solution for an environment consisting of two sites, separated by unlimited distances, running the same applications and having the same data with cross-site workload monitoring, data replication, and balancing. IBM GDPS active/active continuous availability, as with previous GDPS solutions, provides a complete set of services to help achieve near continuous availability. This solution, which is an integration of IBM products and GDPS control software, is delivered through an IBM service engagement which includes project management throughout the implementation cycle. Statement of direction IBM intends to deliver, over time, additional configurations that comprise GDPS active/active continuous availability. In addition to the Active/Standby configuration, IBM plans to make available the Active/Query configuration, which will provide the ability to selectively query data in either site.* * This statement represents the current intention of IBM. IBM development plans are subject to change or withdrawal without further notice. Any reliance on this statement of direction is at the relying party's sole risk and does not create any liability or obligation for IBM.
    • Smarter Computing Active/Active Sites configurations Configurations 1. Active/Standby – general availability on June 30 2. Active/Query – statement of direction 3. … A configuration is specified on an application basis © 2013 IBM Corporation9 A application is the aggregation of these components – Software: applications (e.g., COBOL program) and the middleware run-time environment (e.g., CICS region & DB2 subsystem) – Data: related set of objects that must preserve transactional consistency and optionally referential integrity constraints (e.g., DB2 Tables) – Network connectivity: one or more TCP/IP addresses & ports (e.g., 10.10.10.1:80)
    • Smarter Computing Active/Active Sites’ Concept Shifting to Continuous Availability from Failover San Jose Two or more sites, separated by unlimited distances, running the same applications & having the same data to provide: – Cross-site Workload Balancing – Continuous Availability © 2013 IBM Corporation10 Madrid – Continuous Availability – Disaster Recovery
    • Smarter Computing Active/Active Sites’ Concept Shifting to Continuous Availability from Failover San Jose © 2013 IBM Corporation11 Madrid Replication Data at geographically dispersed sites are kept in sync via replication
    • Smarter Computing Active/Active Sites’ Concept Shifting to Continuous Availability from Failover San Jose Transactions © 2013 IBM Corporation12 Madrid Replication Workloads are managed by a client and routed to one of many replicas, depending upon workload weight and latency constraints … extends workload balancing to SYSPLEXs across multiple sites! Workload Distributor Load Balancing with SASP (z/OS Comm Server)
    • Smarter Computing Active/Active Sites’ Concept Shifting to Continuous Availability from Failover San Jose Transactions © 2013 IBM Corporation13 Madrid Replication Tivoli Enterprise Portal Monitoring spans the sites and now becomes an essential element of the solution for site health checks, performance tuning, etc. Workload Distributor Load Balancing with SASP (z/OS Comm Server)
    • Smarter Computing IBM InfoSphere Data Replication’s Q-Replication High volume, low latency DB2 z/OS Replication Replication Metadata Source DB2 Databases DB2 Replication Metadata TARGET Replication Center © 2013 IBM Corporation14 Q Capture Monitor Thread Log Reader Admin Thread Pruning Thread Publish Thread RestartQ AdminQ DB2 Logs SOURCE Q Apply Target DB2 Databases Stored Procedure Apply Agent Apply Agent Apply Agent Q Apply Browser AdminQ TARGET SendQ/ReceiveQ Event Publisher Messages (XML or CDV) Replication Dashboard Apply Monitor Tables Capture Monitor Tables
    • Smarter Computing TEP/CDA Target IMS Databases Replication Metadata Source IMS Databases Replication Metadata Bookmark Database IBM InfoSphere IMS Replication for z/OS High Volume, Low Latency IMS Data Replication © 2013 IBM Corporation15 SOURCE SERVER TARGET SERVER TCP/IP IMS Logs IMS DRA Interface Administration Administration One Session Per Subscription Log Read/ Merge UOR Capture UOR Analysis IMS IMSIMS UOR Apply
    • Smarter Computing Action : From GDPS, we start the workloads in both sites From GDPS, we start the replication from site1 to site2 From GDPS, we start the routing of transactions to site1 We see :GDPS panel to start Workload (subsystems) GDPS scripts to start replication from site1 to site2 Scenario 1 – Start Workload / replication / routing © 2013 IBM Corporation16 GDPS scripts to start replication from site1 to site2 GDPS scripts to start routing transactions to site1 SDF screen to check the GDPS actions TEP interface to check the replication / workload status
    • Smarter Computing LLAdvisor Secondary Site G5Site G4 Network GDPS Web Interface LB 2°°°° Tier Sysplex Distrib LB 2°°°° Tier Sysplex Distrib TEMS & TEMA Netview Backup GDPS Code G5C1Backup Controller TEMS & TEMA LLAdvisor Primary Netview Master GDPS Code G4C1Primary Controller TEP Interface LB 1°°°° Tier CSM © 2013 IBM Corporation17 LLAgent Netview & SA LLAgent Netview & SA Workload 1 CICS/DB2 Appl Workload 1 DB2 Rep CICS/DB2 Appl DB2 LLAgent Netview & SA LLAgent Netview & SA Workload 1 DB2 Rep CICS/DB2 Appl Workload 1 CICS/DB2 Appl ActiveActive ActiveActive G4 Production 1 G4P1G4 Production 2 G4P2 G5 Production 2 G5P2G5 Production 1 G5P1 TEMS & TEMATEMS & TEMA StandbyStandby IMS IMSDB2
    • Smarter Computing Sample Scenario --- Site 1 Planned Outage GDPS Script: Stop routing transactions to Site1 “Active” workloads – Replication from Site1 to Site2 will stop as there are no more changes Stop Replication to Site1 for any workloads using Site1 as “Standby” © 2013 IBM Corporation18 “Standby” Start routing Site1 “Active” transactions to Site2 The workloads are now processing transactions in Site2 … a recovery point is maintained in anticipation of shift back to Site1 Then, as required by the scenario: – Stop workloads in Site1 – Close down all systems in Site1
    • Smarter Computing LLAdvisor Secondary Site G5Site G4 Network GDPS Web Interface LB 2°°°° Tier Sysplex Distrib LB 2°°°° Tier Sysplex Distrib TEMS & TEMA Netview Backup GDPS Code G5C1Backup Controller TEMS & TEMA LLAdvisor Primary Netview Master GDPS Code G4C1Primary Controller TEP Interface LB 1°°°° Tier CSM © 2013 IBM Corporation19 LLAgent Netview & SA LLAgent Netview & SA Workload 1 CICS/DB2 Appl Workload 1 DB2 Rep CICS/DB2 Appl DB2 LLAgent Netview & SA LLAgent Netview & SA Workload 1 DB2 Rep CICS/DB2 Appl Workload 1 CICS/DB2 Appl ActiveActive ActiveActive G4 Production 1 G4P1G4 Production 2 G4P2 G5 Production 2 G5P2G5 Production 1 G5P1 TEMS & TEMATEMS & TEMA StandbyStandby IMS IMSDB2 ActiveActive ActiveActive
    • Smarter Computing Sample Scenario --- Return from Outage when Site1 is ready for work! GDPS Script: Once Site1 is available, – Replication from Site2 back to Site1 will commence from the recovery point stored © 2013 IBM Corporation20 Once caught up, Stop routing transactions to Site2 “Active” workloads – Replication from Site2 to Site1 will stop as there are no more changes Start routing “Active” transactions to Site1 – Replication from Site1 to Site2 will automatically start once changes show up on Site1 The Active workloads are now processing transactions in Site1
    • Smarter Computing LLAdvisor Secondary Site G5Site G4 Network GDPS Web Interface LB 2°°°° Tier Sysplex Distrib LB 2°°°° Tier Sysplex Distrib TEMS & TEMA Netview Backup GDPS Code G5C1Backup Controller TEMS & TEMA LLAdvisor Primary Netview Master GDPS Code G4C1Primary Controller TEP Interface LB 1°°°° Tier CSM © 2013 IBM Corporation21 LLAgent Netview & SA LLAgent Netview & SA Workload 1 CICS/DB2 Appl Workload 1 DB2 Rep CICS/DB2 Appl DB2 LLAgent Netview & SA LLAgent Netview & SA Workload 1 DB2 Rep CICS/DB2 Appl Workload 1 CICS/DB2 Appl ActiveActive ActiveActive G4 Production 1 G4P1G4 Production 2 G4P2 G5 Production 2 G5P2G5 Production 1 G5P1 TEMS & TEMATEMS & TEMA StandbyStandby IMS IMSDB2 ActiveActive ActiveActive
    • Smarter Computing Sample Scenario --- Both Site1 and Site2 can be “active”! Today, this can be a second DB2 workload or an IMS workload – Replication for Workload 1 data goes from Site1 to Site2 – Replication for Workload 2 data goes from Site2 to Site1 © 2013 IBM Corporation22 During Outages, GDPS must recognize if an unavailable site is also acting as a Standby site for other workloads – Replication for a second workload may stop during the outage – Catch-up for the second workload will also occur upon restart after the outage
    • Smarter Computing Sample Environment 2 PLEX1 PLEX2 Routing for: Workload_1 Workload_2 Routing for: Workload_3C1 C2 PB SASP-compliant Routers Site 1 Mix of active/standby workloads Site 2 Mix of active/standby workloads © 2013 IBM Corporation23 Workload_1 Workload_2 Workload_3 Workload_1 Workload_2 Workload_3 S/W Replication PLEX1 PLEX2 Workload_1 Workload_3 Workload_1 Workload_3 SYS11 SYS12 SYS21 SYS22 CF21 CF22 CF11 CF12 PB Active Replication from 1 to 2 Active Replication from 2 to1 Inactive Replication from 2 to 1 Active Replication from 1 to 2 Inactive Replication from 2 to 1 Inactive Replication from 1 to 2
    • Smarter Computing Active/Active Sites functions Start/stop a controller – start and stop an A/A Sites controller Start/stop a site – start and stop individual sysplexes (each sysplex maps to a site) Stop/start a workload – start and stop individual workloads Monitoring – monitor the A/A Sites configuration and, if any conditions that will potentially impact a workload and/or site switch, generate an alert Planned workload switch – switch the workload site to the other site © 2013 IBM Corporation24 Planned workload switch – switch the workload site to the other site initiated by operator action Unplanned workload switch – switch failed workload to the other site, either automatically or based upon operator prompt, after the workload failure detection interval Planned site switch – switch all workloads executing to the other site initiated by operator action Unplanned site switch – switch the failed site’s workloads to the other site, either automatically or based upon operator prompt, after the site failure detection interval
    • Active/Active Sites overview Level set Active/Active Sites overview Preliminary testing results Components IMS Replication Summary © 2013 IBM Corporation Summary
    • Smarter Computing Preliminary testing results* Planned workload switch – Operator initiated switch from the active instance of a workload to the standby instance took 20 seconds – Not possible with disk replication Unplanned workload switch – Automatic switch from the active instance of a workload to the standby instance took 120 seconds (workload failure detection interval is 60 seconds) – Not possible with disk replication © 2013 IBM Corporation26 – Not possible with disk replication Planned site switch (9 * CICS-DB2 and 1 * IMS workloads) – Operator initiated switch of workloads in one site to the other site took 20 seconds – Current GDPS and disk replication will take 1-2 hours Unplanned site switch – Automatic switch of failed site workloads to the surviving site took 107 seconds (site failure detection interval is 60 seconds) – Current GDPS and disk replication will take about one hour * IBM laboratory results; actual results may vary.
    • Active/Active Sites overview Level set Active/Active Sites overview Preliminary testing results Components IMS Replication Summary © 2013 IBM Corporation
    • Smarter Computing Minimum releases of required products installed on z/OS production and controller images for Active/Standby configuration Operating system – z/OS V1R11 Applications/Middleware – DB2 for z/OS V9 – IMS 10 – WS MQ V7.0 Management and monitoring – GDPS/Active-Active V1.1 – NetView for z/OS V6.1 – System Automation for z/OS V3.3 – IBM Multi-site Workload Lifeline V1.1 – IBM Tivoli Monitoring V6.2.2 – Optional OMEGAMON products (required only if the © 2013 IBM Corporation28 – WS MQ V7.0 Replication – InfoSphere Replication Server (DB2) V10 – InfoSphere IMS Replication for z/OS V10.1 – Optional OMEGAMON products (required only if the customer wants to monitor the behavior of the respective products/resources that they deal with (DB2, CICS, storage, etc.) •OMEGAMON XE on z/OS V4.2.0 •OMEGAMON XE for Mainframe Networks V4.2.0 •OMEGAMON XE for Storage V4.2.0 •OMEGAMON XE for DB2 Performance Expert (or Performance Monitor) on z/OS V4.2.0 (if DB2 is running) •OMEGAMON XE on CICS for z/OS V4.2.0 (if CICS is running) •OMEGAMON XE on IMS V4.2.0 (if IMS is running) •OMEGAMON XE for Messaging V7.0 (if MQ is running)
    • Active/Active Sites overview Level set Active/Active Sites overview Preliminary testing results Components IMS Replication Summary © 2013 IBM Corporation
    • Smarter Computing IMS Software-Based Data Mirroring InfoSphere IMS Replication Unidirectional Replication of IMS data – Subscription Level Replication • Transaction consistency • All or nothing at DB level • Basic replication monitoring • TCP/IP for data transmission IMS “Capture” – DB/TM, DBCTL, Batch DL/I, FDBR IMS InfoSphere IMS Replication IMS © 2013 IBM Corporation30 – Capture x’99’ log records • Increase in log volume due to change data capture records IMS “Apply” – Uses IMS Database Resource Adapter interface – Parallel Apply – Conflicts will be detected • Manual resolution will be required Classic Data Architect – Administration (some administration can be done via z/OS console commands) – Basic replication monitoring
    • Smarter Computing Classic Data Architect Target IMS Databases Replication Metadata Administration Administration IMSIMS Source IMS Databases Replication Metadata Bookmark Database IMS Replication Architecture © 2013 IBM Corporation31 SOURCE SERVER TARGET SERVER TCP/IP IMS Logs IMS DRA Interface Administration One Session Per Subscription Log Read/ Merge UOR Capture UOR Analysis IMS UOR Apply
    • Smarter Computing IMS IMS Source IMS Databases Multi-Target Configuration IMS IMS Source Server Target Server © 2013 IBM Corporation32 IMS Logs IMS IMS • Multiple Subscriptions • Each subscription associated with one of the target servers • Single server sends updates to appropriate target Server Target Server
    • Smarter Computing IMS IMS Sample Two-way Replication Configuration IMS Source Server Target Server Workload A Update/Query Workload A Query © 2013 IBM Corporation33 IMS IMS Target Server IMS Source Server Workload B Query Workload B Update/Query
    • Smarter Computing Source Server Details Replication Metadata IMS DBCTL Partner Product IMS TM / DB Partner Product Exit IMS Logs IMS Logs TCP/IP TCP/IP •User exits to notify server of new IMS instance •Merge Waits for Batch DL/I to complete •Idle IMS regions can © 2013 IBM Corporation34 Change Stream Ordering SOURCE SERVERRECON IMS Logger Exit BATCH DL/I Partner Product Exit Capture Services IMS Logs Log Info Source IMS Databases TCP/IP TCP/IP •Idle IMS regions can slow processing
    • Smarter Computing Target Server Details Writer Services Staged Unit-of-Recovery Data IMS DRA thread Writer Apply Service Change Messages © 2013 IBM Corporation35 TARGET SERVER Dependency Analysis Writer Services Service • Parallelism based on dependency analysis within a subscription • Database and root key used for analysis
    • Smarter Computing Classic Data Architect – Replication Management © 2013 IBM Corporation36
    • Smarter Computing Classic Data Architect - Monitoring Throughput © 2013 IBM Corporation37
    • Smarter Computing Classic Data Architect - Monitoring Latency © 2013 IBM Corporation38
    • Smarter Computing Adaptive Apply Adaptive apply error handling is the default behavior – Can be set to standard apply, which does not tolerate conflicts If a conflict is detected, the action will be to ignore update Conflicts are: – Before image mismatch © 2013 IBM Corporation39 – Before image mismatch – Unable to locate segment to process update All conflicts are logged in the event log • Manual resolution will be required
    • Smarter Computing Current Restrictions All segments for a DB must have change capture logging enabled and will be replicated – Must augment the DBD with the EXIT=(…,LOG) specification – IMS change capture restrictions DEDB FLD calls not supported © 2013 IBM Corporation40 Subset Pointers not managed ISRT HERE -> ISRT FIRST Workload Restrictions – All logically related DBs must be in the same subscription – Workload with logically related DBs will be serialized – UORs with unkeyed or non-unique keyed segments will be serialized External load of target DB – Must be a static image copy
    • Smarter Computing Performance considerations Transactional consistency vs. Parallelism – All updates for a given UR processed as a single transaction during apply – All transactions involving the same ‘resource’ will be serially processed in commit order – Running transactions in parallel can have application consistency implications Increase in log data © 2013 IBM Corporation41 Increase in log data Multiple source IMSs to 1 Apply Target implications Internally achieved 53K updates per second – ~116,000 updates per second when deploying two apply servers – sustained <2sec latency – your results may vary
    • Smarter Computing Replication Summary Asynchronous Replication – Allows for unlimited distance support Low Latency through parallelism – Allows for almost immediate data availability and low RTO Transaction Consistency © 2013 IBM Corporation42 Transaction Consistency – Access with integrity on target system and low RTO Subscription independence – Switch can be at a workload level vs. system level
    • Smarter Computing IMS Replication / DASD Mirroring / IMS RSR IMS Replication DASD Mirroring (at distance) RSR Continuous Availability Model – No Restart Disaster Recovery Model Restart z/OS and subsystems Disaster Recovery Model Restart IMS Allows for data access at target Cannot access data at target Cannot access data at target 9904 log record based; Uses DL/I calls to update target DB DASD based 5950/5050 record based; Uses DB recovery methodology to update target DB No source log data saved/used at target All data can be mirrored All source log data can be transmitted/saved © 2013 IBM Corporation43 No source log data saved/used at target All data can be mirrored All source log data can be transmitted/saved at target MSDBs not supported All data can be mirrored MSDBs not tracked FLD call not supported All data can be mirrored All DB updates supported for supported DBs Subset pointers not supported All data can be mirrored All updates supported Insert HERE rules for unkeyed segments can change order of segments Data is identical Segment order identical Some logical relationships not supported All data can be mirrored All logical relationships supported IMS to IMS only solution Integrated with GDPS Active/Active Sites solution All enterprise data can be managed as one group. IMS only solution Not part of strategic IBM solution
    • Active/Active Sites overview Level set Active/Active Sites overview Preliminary testing results Components Summary © 2013 IBM Corporation
    • Smarter Computing Thank you Current GDPS family of offers – Over 12-year history of disaster recovery and continuous availability for System z customers – A proven track record of success, with almost 600 clients worldwide and growing – Ongoing investment and updated – up to GDPS V3.8 © 2013 IBM Corporation45 NEW GDPS/ Active-Active family of offers – The next generation of GDPS – Concept: Active applications, transactional integrity, shared data, replication, and automation over global distances for true continuous availability worldwide • First configuration is Active/Standby • Statement of Direction on Active Query configuration • Additional configurations planned for the future
    • Smarter Computing There are multiple GDPS service products under the GDPS solution umbrella to meet various customer requirements for Availability and Disaster Recovery. Continuous Availability of Data within a Data Center Continuous access to data in the event of a storage subsystem outage Single Data Center Applications remain active Two Data Centers Systems remain active Multi-site workloads can withstand site and/or storage failures Continuous Availability / Disaster Recovery within a Metropolitan Region Two Data Centers Rapid Systems Disaster Recovery with “seconds” of Data Loss Disaster recovery for out of region interruptions Disaster Recovery at Extended Distance Continuous Availability Regionally and Disaster Recovery Extended Distance Three Data Centers High availability for site disasters Disaster recovery for regional disasters GDPS/PPRCGDPS/PPRC HM GDPS/GM & GDPS/XRC GDPS/MGM & GDPS/MzGM Continuous Availability, Disaster Recovery, and Cross-site Workload Balancing at Extended Distance Two or More Data Centers All sites active GDPS/Active-Active © 2013 IBM Corporation4646 RPO=0 & RTO=0 Tivoli – NetView, SAz STG – System z, DS8K, PPRC GTS – GDPS control code, Services A/S RPO=0 & RTO<1 hr or A/A RPO=0 & RTO mins Tivoli – NV, SAz, SA-MP, AppMan STG – System z, DS8K, VTS, PPRC GTS – GDPS control code, Services RPO secs & RTO <1 hr Tivoli – NV, SAz STG – System z, DS8K, Global Mirror, XRC GTS – GDPS control code, Services A B C Tivoli – NV, SAz STG – System z, DS8K, MGM, MzGM GTS – GDPS control code, Services Components RPO – recovery point objective RTO – recovery time objective Synch replication Asynch replication RPO secs & RTO secs Tivoli – SA, NetView AIM - Multi-site Workload Lifelife IM - DB2 &IMS replication STG – System z, DS8K, Global Copy GTS – GDPS control code, Services CD1 CD1CD1 CD1 A/S RPO=0 & RTO<1 hr or A/A RPO=0 & RTO mins and RPO secs & RTO <1 hr
    • Smarter Computing Please direct follow-up questions to gvance@us.ibm.com. Questions © 2013 IBM Corporation47
    • Smarter Computing The following are trademarks of the International Business Machines Corporation in the United States and/or other countries. * Registered trademarks of IBM Corporation AIX* APPN* CICS* DB2* DB2 Connect DirMaint DRDA* Distributed Relational Database Architecture e-business logo* ECKD Enterprise Storage Server* ESCON* FICON* GDPS* Geographically Dispersed Parallel Sysplex HiperSockets HyperSwap IBM* eServer IBM logo* IMS InfoPrint* Language Environment* MQSeries* Multiprise* NetView* On demand business logo OS/390* Parallel Sysplex* PR/SM Processor Resource/Systems Manager RACF* Resource Link RMF S/390* Sysplex Timer* System z System z9 System z10 TotalStorage* Virtualization Engine VSE/ESA VTAM* WebSphere* z/Architecture zEnterprise z/OS* z/VM* z/VSE zSeries* Trademarks © 2013 IBM Corporation4848 The following are trademarks or registered trademarks of other companies. * All other products may be trademarks or registered trademarks of their respective companies. Intel is a trademark of Intel Corporation in the United States, other countries, or both. Java and all Java-related trademarks and logos are trademarks of Sun Microsystems, Inc., in the United States and other countries Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. UNIX is a registered trademark of The Open Group in the United States and other countries. Microsoft, Windows and Windows NT are registered trademarks of Microsoft Corporation. Red Hat, the Red Hat "Shadow Man" logo, and all Red Hat-based trademarks and logos are trademarks or registered trademarks of Red Hat, Inc., in the United States and other countries. SET and Secure Electronic Transaction are trademarks owned by SET Secure Electronic Transaction LLC. Notes: Performance is in Internal Throughput Rate (ITR) ratio based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput 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 improvements equivalent to the performance ratios stated here. IBM hardware products are manufactured from new parts, or new and serviceable used parts. Regardless, our warranty terms apply. All customer examples cited or described in this presentation are presented as illustrations of the manner in which some customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics will vary depending on individual customer configurations and conditions. This publication was produced in the United States. IBM may not offer the products, services or features discussed in this document in other countries, and the information may be subject to change without notice. Consult your local IBM business contact for information on the product or services available in your area. All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. Information about non-IBM products is obtained from the manufacturers of those products or their published announcements. IBM has not tested those products and cannot confirm the performance, compatibility, or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. Prices subject to change without notice. Contact your IBM representative or Business Partner for the most current pricing in your geography.