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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. BladeFrame is Composed of
Processing, Switch and Control Blades
12 Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved

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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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