PRIMERGY Bladeframe: Caratteristiche e benefici

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PRIMERGY Bladeframe: Caratteristiche e benefici

  1. 1. Fare clic per modificare lo stile del titolo Fare clic per modificare gli stili del testo dello schema Secondo livello PRIMERGY Bladeframe Terzo livello Quarto livello Caratteristiche e benefici Quinto livello Andrea Sappia © Fujitsu 1 Siemens Computers 2007 All rights reserved
  2. 2. Complexity of today‘s datacenters nParticularly challenging in high-end n Infrastructure team must piece together and maintain o Multiple I/O connections o Multiple switches o Complex management software o Clustering software o Multi-path software o Provisioning software o Load balancers o Multiple software licenses o Complex DR and DR verification processes o etc…. 2 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  3. 3. Result: Application tied to IT-resources in complex “silos” Order Management QA/UAT ERP Development HA or DR CRM Resources are tied Web Services to applications 3 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  4. 4. Two companies, one vision: Egenera and FSC partner for the Dynamic Data Center The message: n Less complexity n Increased agility n Reduced cost A dramatic improvement in the reliability, flexibility and cost-effectiveness of enterprise IT infrastructure through a massive reduction in datacenter complexity 4 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  5. 5. PRIMERGY BladeFrame Managed Server Pool as central Data Center Platform n High integration of hardware und resource management (black box approach) n central, dynamic resource allocation of Processing Blade processors, network, I/O, OS Processing Blade n based on Intel and/or AMD Architecture Interconnect Interconnect Processing Blade n SW images are on central storage for on- demand provisioning of servers Control Blade n separation of compute and I/O functions to IP SAN eliminate HW-SW dependency Control Blade 5 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  6. 6. Inspiration is the Storage Area Network (SAN) SAN … … … … … … pServer … … LUN to to Physical Physical Drive CPU/Memory Mapping in Mapping in SAN PAN 6 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  7. 7. Instead of “islands” of servers… Data Compliance Groupware BPM Accounting Billing Portal Mining Management CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM KVM HBA HBA HBA HBA KVM KVM KVM KVM KVM HBA HBA HBA HBA HBA HBA HBA HBA KVM HBA HBA NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC Database Business Data Risk ERP CRM Email Application Intelligence Warehouse Management CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM HBA HBA HBA KVM KVM KVM KVM KVM KVM HBA HBA HBA HBA HBA HBA HBA HBA HBA KVM HBA HBA NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC Network Storage KVM 7 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  8. 8. PAN eliminates fixed server identities Data Compliance Groupware BPM Accounting Billing Portal Mining Management CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM KVM KVM KVM KVM KVM KVM KVM HBA HBA HBA HBA HBA HBA HBA HBA HBA HBA HBA HBA HBA HBA NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC Database Business Data Risk ERP CRM Email Application Intelligence Warehouse Management CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM HBA HBA KVM KVM KVM KVM KVM HBA HBA HBA HBA HBA HBA HBA HBA HBA HBA KVM KVM HBA HBA NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC NIC Network Storage KVM 8 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  9. 9. PAN is a “pool” of computing resources Data Compliance Groupware BPM Accounting Billing Portal Mining Management CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM Database Business Data Risk ERP CRM Email Application Intelligence Warehouse Management CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM Control HBA HBA NIC NIC NIC NIC HBA HBA Blades NIC NIC Network Storage Management Portal 9 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  10. 10. PAN is a “pool” of computing resources Data Compliance Groupware BPM Accounting Billing Portal Mining Management CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM Database Business Data Risk ERP CRM Email Application Intelligence Warehouse Management CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM Control HBA HBA NIC NIC NIC NIC HBA HBA Blades NIC NIC Network Storage Management Portal 10 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  11. 11. Data Compliance PAN is a “pool” of computing resources Groupware BPM Accounting Billing Portal Mining Management Database Business Data Risk Virtual ERP CRM Email Application Intelligence Warehouse Management Servers Virtualization Layer CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM ProcessingCPU CPU RAM RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM Blades High-Speed Low Latency Fabric Switch Control HBA HBA NIC NIC NIC NIC HBA HBA Blades NIC NIC Network Storage Management Portal 11 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  12. 12. BladeFrame is Composed of Processing, Switch and Control Blades 12 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  13. 13. Inherent Capabilities of PAN: Agility, Portability and Availability, Simplicity PAN Portability Server Portability § Verifiable DR Scenarios § N+1 High Availability § Share DR with Dev / Test § Application and Hardware § Virtual Console and VGA § vBlades High Speed Fabric § Increased performance § Chatty, clustered, 3-Tier applications within PAN § Reduced server count 13 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  14. 14. PRIMERGY BladeFrame System Processing resources on hot-pluggable blades n Diskless for unprecedented flexibility Processing n Consistent form factor Blades n Intel & AMD for price/performance n Mix and match configurations Switch Control Image repository on control blades Blades Blades n Multi-OS support o Red Hat Linux o Novell (SuSE) Linux o SOLARIS o Microsoft Windows Processing Blades n Unmodified Applications automatically deployed on demand 14 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  15. 15. Datacenter Virtualization simplifies DR infrastructure…. OR 7-RAC Nodes on other Blades 24-RAC Nodes on BladeFrame 15 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  16. 16. Capacity Up or Down as Needed stateless phys. resources PAN Definition Abstraction (stored in XML) Primary 1 2 x Xeon Upgraded 4 x Opteron Primary 1 Fabric Fa i lo ve Right Sized r Primary 2 2 x Opteron Primary 2 4 x Xeon F ai l o v er N+1 Standby 16 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  17. 17. Automate the Replication, Provisioning, Change Management and Fail Over process DEV & DR Site Production Production Utah Wyoming pBlade 1 Dev pBlade 11 Prod pBlade Prod pBlade 1 pBladeNo 2 Dev pBlade 22 Prod pBlade Prod pBlade 2 Driver Incompatibility Dev pBlade 33 Prod pBlade Prod pBlade 3 All Change control documented & transferred Remotely Administer No Idle Equipment Easy to Test Easy to Scale DR PAN Archive Best in Class TCO XML File1 pBlade n pBlade n Data Replication Export Import SAN SAN 17 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  18. 18. Sample Customers by Segment Capital Markets/Banking Telecommunications Higher Education Healthcare Shanghai Bio Large wireless carriers University of Rostock US Federal Government Online Retail Service Providers / xSPs MEW-IS 18 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  19. 19. Datacenter of the Future n PAN dramatically lowers datacenter complexity n 80% reduction in components 2,500 Legacy 2,000 PAN Total # of 1,500 Components 1,000 500 0 Securities Banking Telecom ASP 19 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  20. 20. Datacenter of the Future …and provides greater than 50% lower TCO TCO ($ '000) 18,000 16,000 Legacy 14,000 PAN 12,000 10,000 8,000 6,000 4,000 2,000 0 Securities Banking Telecom ASP 20 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  21. 21. Online Grocer: ERP Application APPLICATION Complexity n Storefront Web site # of Components n BEA WebLogic 1,800 n Oracle9i RAC 1,600 LAN Cables n CRM, business intelligence SAN Cables 1,400 n Delivery administration SAN Ports Serial Cables n Payment processing 1,200 Network Ports 1,000 HBA Cards NICS 800 CRITICAL BUSINESS ISSUES Power Cables Disk Drives n Competing solutions introduced 600 failure points 400 o Software and clustering 200 o Build and automation tools o Network infrastructure 0 Legacy/Architecture PAN o 1:1 HA 21 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  22. 22. US division of large European commercial bank Problem: 8 n 9/11 and subsequent testing exposed weaknesses 7 in DR strategy – recovery was slow & inconsistent Restore Time (hrs) 6 n Failover servers didn’t work unless they were same type 5 n “One application/one server” model at DR 4 3 2 Solution: DR with PRIMERGY Bladeframe 1 n Applications and services can be flipped from one site to the other in minutes, with no impact on users 0 Legacy PAN n DR resources can instantly run any application on either OS (e.g. running test/dev on DR) 22 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  23. 23. Insurance Company Problem: 100 n Business objective: DR within 24 hours Recover Success Rate (%) n IT commitment: 8 hours 80 n Non Virtualized DR Infrastructure > 6.5 hours 60 Solution: DR with PRIMERGY Bladeframe 40 n Infrastructure failover & applications recovery in 15-25 minutes 20 n DR Runbook: > 20 pages over 50 steps to 1 page 9 steps 0 Legacy PAN 23 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  24. 24. PRIMERGY BladeFrame - The incarnation of the DDC Server Utilization Server Repurposing Time-to-Market High Availability, Consolidation Scalability Disaster Recovery 24 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  25. 25. What PRIMERGY BladeFrame means for your IT! n 30+% reduction in infrastructure management costs n Up to 40% reduction in real server instances n Up to 40% reduction of software license costs n Increase of server utilization up to 70-80% (coming from 25 – 30%) n Implicit failover and high-availability w/o need of additional cluster software n Ratio between production and failover servers = N:1 (instead of 1:1) n Reduction of server instances for testing, development and quality assurance n Up to 80% reduction in network and storage ports 25 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved
  26. 26. Fare clic per modificare lo stile del titolo Fare clic per modificare gli stili del testo dello schema Grazie! Secondo livello Terzo livello Andrea Sappia Quarto livello andrea.sappia@fujitsu-siemens.com Quinto livello Andrea Sappia © Fujitsu 26 Siemens Computers 2007 All rights reserved

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