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Data Center Readiness for HANA Part 2 DR and BC
 

Data Center Readiness for HANA Part 2 DR and BC

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    Data Center Readiness for HANA Part 2 DR and BC Data Center Readiness for HANA Part 2 DR and BC Presentation Transcript

    • Place photo here © 2013 IBM Corporation Richard T. Travis Data Center Readiness for HANA 1
    • Place photo here © 2013 IBM Corporation Oliver Rettig Richard Travis Architecture Options for Business Continuity of SAP HANA systems 2
    • © 2013 IBM Corporation© 2013 IBM Corporation Topics •  The SAP HANA Project Process –  How we get into trouble from the outset. •  SAP HANA Use Cases: –  Why they are important •  Data Center Critical Considerations –  Backup and Recovery –  High Availability –  Disaster Recovery –  Business Continuity •  Q & A 3
    • © 2013 IBM Corporation© 2013 IBM Corporation The SAP HANA Project Process Functional Business IT and Facilities Engage All Parties in Parallel FIRST EARLY ALWAYS
    • © 2013 IBM Corporation© 2013 IBM Corporation SAP HANA Deployment Options for Different Use Cases 5 Technology Platform SAP  HANA   BI  Clients   SQ L   MD X   BIC S   3rd  Party   Non  SAP   Data  Source   In- Memory Compu?ng  Engine   Data  Modeling   ETL   Reporting Accelerators SAP  HANA   BI  Clients   SQL   MD X   BICS   3rd  Party   Replica?on   SAP   Business   Suite   Tradi?onal  DB   In- Memory Compu?ng  Engine   Data  Modeling   SAP  HANA   Read   SAP   Business   Suite   SAP  UI   Tradi?onal  DB   In-Memory Compu?ng  Engine   Data  Modeling   Replica?on   e.g. Demographics & Google Maps e.g. SAP ERP: Operational reporting e.g. SAP ERP: CO-PA
    • © 2013 IBM Corporation© 2013 IBM Corporation SAP HANA Deployment Options for Different Use Cases 6 Products on In-Memory DB SAP  HANA   BW   Tradi?onal     Extractors   SAP   Business   Suite   Tradi?onal  DB   In-Memory Compu?ng  Engine   e.g. SAP BW -7.3 SP8- on HANA Products on In-Memory DB SAP  HANA   ERP,  SCM,  CRM   In-Memory Compu?ng  Engine   e.g. SAP ERP 6.0, EHP6, CRM 7.0, EHP2, SCM 7.0 EHP2, Version for HANA
    • © 2013 IBM Corporation© 2013 IBM Corporation Use Case Deployment •  Use Cases Have Different Requirements –  Scale Up –  Scale Out –  Master Node Consideration •  Requirements Determine Architecture/Deployment –  Standalone/Scale up –  Multinode/Scale out –  High Availability Design –  Disaster Recovery Approach –  –  – 
    • © 2013 IBM Corporation© 2013 IBM Corporation High Availability
    • © 2013 IBM Corporation© 2013 IBM Corporation HDD replica (Disk) - index server - statistic server - SAP HANA® DB worker node Standby Node 512GB Production Node 2 512GB FAILED Node 2 512GB - SAP HANA® DB standby node - SAP HANA® DB worker node X3950 7143-HBU (512GB) Production Node 3 512GB Production Node 1 512GB shared filesystem - GPFS HDD flash data02 log02 data03(3) log01(1) log03(3) data01(1) data03(3) log01(1) log03(3) data01(1) HDD flash data02 log02 data01(1) data03(3) log01(1) log03(3) HDD flash log01 DB partition 1 - index server - statistic server - SAP HANA® studio - SAP HANA® DB worker node HDD flash log03(3)log03 DB partition 3 flash - index server - statistic server - SAP HANA® DB worker node data03 HDD flash - index server - statistic server X3950 7143-HBU (512GB) X3950 7143-HBU (512GB) X3950 7143-HBU (512GB) Production (scale to 56 Nodes) data01(2) data01(3) data02(1)data02(3) data03(1)data03(2) Log Replica (SSD) log01(2) log01(3) log02(1) log02(2)log02(3) log03(1)log03(2) data01(2) data01(3) data02(3) data03(1)data03(2) log01(2) log01(3) log02(1) log02(2)log02(3) log03(1)log03(2) data02(2)data02(2) log02(2)log02(1)log02(3) data02(3) data01(1)data01 Primary Data (SSD & Disk) Production Node 2 512GB data02(1) SAP HANA Appliance – Scale Out with High Availability 9 - index server - statistic server - SAP HANA® DB worker node - index server - statistic server - SAP HANA® DB worker node DB partition 2 SAP HANA® DB System Memory X3950 7143-HBU (512GB)
    • © 2013 IBM Corporation© 2013 IBM Corporation Datacenter 2Datacenter 1 HANA Standby node Stretched HA (single node), up to metro distance •  Two data centers in metro distance (dependent on network latency and bandwidth) •  1 + 1 + quorum, no non-prod system allowed on secondary site •  Quorum node ideally at third location, frequently installed at primary location •  Automatic failover with GPFS functionality, one GPFS cluster •  For BW on HANA and Suite on HANA 10 HANA Worker node Primary replica Secondary replica Quorum
    • © 2013 IBM Corporation© 2013 IBM Corporation HANA Stretched HA with GPFS – Network setup 11 SAP HANA ACTIVE NODE SAP HANA STANDBY NODE QUORUM NODE ISL HANA cluster network GPFS network Datacenter 1 Datacenter 2 Datacenter 3
    • © 2013 IBM Corporation© 2013 IBM Corporation HA for single node configs in one DC SAP HANA system replication •  Low RTO, because the data is already active in memory in the secondary system •  Independent of the HW implementation •  Manual failover or additional cluster failover functionality •  Applicable for all use cases 12
    • © 2013 IBM Corporation© 2013 IBM Corporation Disaster Recovery Business Continuity
    • © 2013 IBM Corporation© 2013 IBM Corporation Datacenter 1 Datacenter 2 DR Single node: with GPFS (synchronous) •  Two data centers in metro distance (dependent on network latency and bandwidth) •  1 + 1 + quorum (one GPFS cluster) On the secondary site the HANA instance is not started, secondary site can be used for ONE different SAP HANA system (e.g. Non-prod) with storage expansion (EXP2524) •  Quorum node ideally at third location, frequently installed at primary location •  Manual failover •  For BW on HANA and Suite on HANA 14 HANA Worker node Quorum HANA Standby node Non-prod HANA Primary replica Secondary replica
    • © 2013 IBM Corporation© 2013 IBM Corporation DR Scale out: GPFS Replication (synchronous) aka. Storage Replication •  SAP Note 1755396 •  Synchronous replication •  Secondary site (identical setup active + standby) can be used for a different SAP HANA system (e.g. Non-prod) with storage expansion •  Not applicable for Suite on HANA 15 Datacenter 1 Datacenter 2
    • © 2013 IBM Corporation© 2013 IBM Corporation DR Scale out: SAP HANA Synchronous System Replication •  Low RTO, because the data is already active in memory in the secondary system •  Independent of the HW implementation •  Independent of the use case 16
    • © 2013 IBM Corporation© 2013 IBM Corporation DR Scale out: SAP HANA Synchronous System Replication (available with SPS 6) •  Similar as before, but on the secondary site a non-prod system can run (duplicate persistence required) •  Higher RTO, because „Table pre-load“ is turned off •  Independent of the HW implementation •  Independent of the use case 17
    • © 2013 IBM Corporation© 2013 IBM Corporation DR Single Node and Scale Out: SAP HANA Asynchronous System Replication (available with SPS 6) •  18 Long distance
    • © 2013 IBM Corporation© 2013 IBM Corporation GPFS and Disaster Recovery
    • © 2013 IBM Corporation© 2013 IBM Corporation GPFS introduced concurrent file system access from multiple nodes. Evolution of the global namespace: GPFS Active File Management (AFM) Multi-cluster expands the global namespace by connecting multiple sites AFM takes global namespace truly global by automatically managing asynchronous replication of data GPFS GPFS GPFS GPFS GPFS GPFS 1993 2005 2013
    • © 2013 IBM Corporation© 2013 IBM Corporation AFM Mode: Single-Writer • Data written to a cache • Asynchronous replication back to home • Can have multiple read-only caches RW Single-Writer RO RORW
    • © 2013 IBM Corporation© 2013 IBM Corporation AFM Mode: Asynchronous Replication (GPFS TL-2) •  Asynchronous Replication in HA Pair –  Cache site does the writing –  Home site is failover •  Cache Fails –  New cache can be defined •  Home Fails –  New Home can be defined High Availability RW RO
    • © 2013 IBM Corporation© 2013 IBM Corporation Q & A
    • © 2013 IBM Corporation© 2013 IBM Corporation Thank you for your Attention 24 •  IBM's SAP Alliance page – http://www.ibm-sap.com •  SAP’s IBM Alliance page – http://service.sap.com/ibm Richard T. Travis SAP Infrastructure Architect! " ! IBM ATS! 4 Center Court! Bay City, MI! ! Phone (720) 395-1579! Mobile (989) 798-6044! rtravis@us.ibm.com !
    • © 2013 IBM Corporation© 2013 IBM Corporation 25 IBM Systems solution for SAP HANA sizes / building blocks / upgrade path Size XS S S+ M L Building Block x3690 X5 x3690 X5 x3950 X5 x3950 X5 x3950 X5 Part Number (Sys x - config) 7147-HAx 7147-HBx 7143 - HAx 7143 - HBx 7143 – HBx + 7143 – HCx Intel CPU 2 x E7 2870 2 x E7 2870 2 x E7-8870 4 x E7-8870 8 x E7-8870 RAM 128 GB DDR3 (8 x 16GB) 256 GB DDR3 (16 x 16GB) 256 GB DDR3 (16 x 16 GB) 512 GB DDR3 (32 x 16 GB) 1 TB DDR3 (64 x 16 GB) Log Storage 10 x 200 GB 1.8‘‘ MLC SSD 10 x 200 GB 1.8‘‘ MLC SSD 1.2 TB ioDrive2 FusionIO 1.2 TB ioDrive2 FusionIO 2 x 1.2 TB ioDrive2 FusionIO Data Storage - - 8 x 900 GB 10k SAS HDD 8 x 900 GB 10k SAS HDD 16 x 900 GB 10k SAS HDD Storage Ctrl 2 x M5015 2 x M5015 1 x M5015 1 x M5015 2 x M5015 Data / Log Storage Summary 1.6 TB RAID 5 data and log storage 1.6 TB RAID 5 data and log storage 5.4 TB RAID5 data storage 1 TB log storage 5.4 TB RAID5 data storage 1 TB log storage 10.8 TB RAID5 data storage 2 TB log storage Ethernet 4 x 10 GbE, 6 x 1 GbE 4 x 10 GbE, 6 x 1 GbE 4 x 10 GbE, 6 x 1 GbE 4 x 10 GbE, 6 x 1 GbE 8x 10 GbE, 12 x 1 GbE Upgrade Option Scale Up or Scale out XS - > S Up to 16 node scale out with HA, SAP certified S+ à M M à „XM“ and L (with L- option) Up to 56 node scale out with HA, SAP certified L à XL or XXL Up to 56 node scale out with HA, SAP certified Software Preload: SLES4SAP GPFS SAP HANA Preload: SLES4SAP GPFS SAP HANA Preload: SLES4SAP GPFS SAP HANA Preload: SLES4SAP GPFS SAP HANA Preload: Addtl. GPFS lic.
    • © 2013 IBM Corporation© 2013 IBM Corporation 26 IBM Systems solution for SAP HANA Size „XM“ XL XXL Building Block x3950 X5 x3950 X5 Part Number (Sys x - config) 7143 - HDx 7143 – HDx + 7143 – HEx 7143 – HDx + 7143 – HEx + add. storage Intel CPU 4 x E7-8870 8 x E7-8870 8 x E7-8870 RAM 1 TB DDR3 (64 x 16 GB or 32 x 32 GB) 2 TB DDR3 (128 x 16 GB or 64 x 32 GB) 4 TB DDR3 (128 x 32 GB) Log Storage 1 x 1.2 TB ioDrive2 FusionIO 2 x 1.2 TB ioDrive2 FusionIO 4 x 1.2 TB ioDrive2 FusionIO Data Storage 8 x 900 GB 10k SAS HDD 16 x 900 GB 10k SAS HDD 24 x 900 GB 10k SAS HDD Storage Ctrl 1 x M5015 2 x M5015 2 x M5015, 1 x M5025 Data / Log Storage Summary 5.4 TB RAID5 data storage 1 TB log storage 10.8 TB RAID5 data storage 2 TB log storage 16.2 TB RAID5 data storage 4 TB log storage Ethernet 4 x 10 GbE, 6 x 1 GbE 8 x 10 GbE, 12 x 1 GbE 8x 10 GbE, 12 x 1 GbE Upgrade Option Scale Up „XM“ à XL XL à XXL (with additional memory, ioDrive2, M5025, EXP 2524) Software Preload: SLES4SAP GPFS SAP HANA Preload: SLES4SAP GPFS SAP HANA Preload: SLES4SAP GPFS SAP HANA Single node only for SAP Business Suite on HANA