PRIMERGY Bladeframe: Caratteristiche e benefici
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PRIMERGY BladeframeCaratteristiche e benefici
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved2
Complexity of today‘s datacenters
nParticularly challenging in high-end
n Infrastructure team must piece togetherand maintaino Multiple I/O connectionso Multiple switcheso Complex management softwareo Clustering softwareo Multi-path softwareo Provisioning softwareo Load balancerso Multiple software licenseso Complex DR and DR verification
processeso etc….
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved3
Result: Application tied to IT-resources in complex “silos”
Resources are tied
to applications
Order Management
ERP
CRM
Web Services
QA/UAT
HA or DR
Development
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved4
Two companies, one vision:Egenera and FSC partner for the Dynamic Data Center
The message:n Less complexityn Increased agilityn Reduced cost
A dramatic improvement in the reliability, flexibility and cost-effectiveness of enterprise IT infrastructure through a
massive reduction in datacenter complexity
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved5
PRIMERGY BladeFrameManaged Server Pool as central Data Center Platform
n High integration of hardware und resource management (black box approach)
n central, dynamic resource allocation of processors, network, I/O, OS
n based on Intel and/or AMD Architecture
n SW images are on central storage for on-demand provisioning of servers
n separation of compute and I/O functions to eliminate HW-SW dependency
Processing Blade
Processing Blade
Processing Blade
Control Blade
Control Blade
Inte
rcon
nect
Inte
rcon
nect
SAN IP
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved6
Inspiration is the Storage Area Network (SAN)
SAN ……
……
……
…… pServer
to Physical
CPU/MemoryMapping in
PAN
LUN to
Physical DriveMapping in
SAN
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved7
Instead of “islands” of servers…N
ICN
ICH
BA
HB
AK
VM
CPU RAM
DatabaseApplication
NIC
NIC
HB
AH
BA
KVM
CPU RAM
ERP
NIC
NIC
HB
AH
BA
KVM
CPU RAM
CRM
NIC
NIC
HB
AH
BA
KVM
CPU RAM
NIC
NIC
HB
AH
BA
KVM
CPU RAM
BusinessIntelligence
NIC NIC
HB
AH
BA
KVM
CPU RAM
DataWarehouse
NIC NIC
HB
AH
BA
KVM
CPU RAM
RiskManagement
NIC
NIC
HB
AH
BA
KVM
CPU RAM
DataMining
NIC
NIC
HB
AH
BA
KVM
CPU RAM
Groupware
NIC
NIC
HB
AH
BA
KVM
CPU RAM
BPM
NIC
NIC
HB
AH
BA
KVM
CPU RAM
Accounting
NIC
NIC
HB
AH
BA
KVM
CPU RAM
Billing
NIC NIC
HB
AH
BA
KVM
CPU RAM
ComplianceManagement
NIC NIC
HB
AH
BA
KVM
CPU RAM
Portal
Network Storage KVM
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved8
PAN eliminates fixed server identitiesN
ICN
IC
CPU RAM
DatabaseApplication
NIC
NIC
CPU RAM
ERP
NIC
NIC
CPU RAM
CRM
NIC
NIC
HB
AH
BA
KVM
CPU RAM
CPU RAM
BusinessIntelligence
CPU RAM
DataWarehouse
CPU RAM
RiskManagement
CPU RAM
DataMining
CPU RAM
Groupware
CPU RAM
BPM
CPU RAM
Accounting
CPU RAM
Billing
CPU RAM
ComplianceManagement
CPU RAM
Portal
Network Storage KVM
NIC
NIC
NIC NIC
NIC
NIC
NIC
NIC
NIC NIC
NIC
NICNIC
NIC
NIC NIC
NIC
NIC
NIC
NIC
HB
AH
BA
HB
AH
BA
HB
AH
BA
HB
AH
BA
HB
AH
BA
HB
AH
BA
HB
AH
BA
HB
AH
BA
HB
AH
BA
HB
AH
BA
HB
AH
BA
HB
AH
BA
HB
AH
BA
KVM
KVM
KVM
KVM
KVM
KVM
KVMKVM
KVM
KVM
KVM
KVM
KVM
NIC
NIC
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved9
PAN is a “pool” of computing resources
CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM
DatabaseApplication ERP CRM Email Business
IntelligenceData
WarehouseRisk
Management
DataMining Groupware BPM Accounting Billing Compliance
Management
CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM
Portal
Network Storage ManagementPortal
NIC
HB
A
NIC
NIC
HB
A
NICControl
Blades
NIC NIC
HB
A
HB
A
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved10
PAN is a “pool” of computing resources
CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM
DatabaseApplication ERP CRM Email Business
IntelligenceData
WarehouseRisk
Management
DataMining Groupware BPM Accounting Billing Compliance
Management
CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM CPU RAM
Portal
Network Storage ManagementPortal
NIC
HB
A
NIC
NIC
HB
A
NICControl
Blades
NIC NIC
HB
A
HB
A
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved11
PAN is a “pool” of computing resourcesEmail
Accounting
Network Storage ManagementPortal
NIC
HB
A
NIC
NIC
HB
A
NICControl
Blades
Processing Blades
High-Speed Low Latency Fabric Switch
CPUCPU
RAMRAM
Virtualization Layer
Business Intelligence
Billing
Data Warehouse
Compliance Management
Risk Management
Portal
CRM
BPM
ERP
Groupware
Database Application
DataMining
Virtual Servers
HB
A
HB
A
NIC NIC
CPUCPU
RAMRAM
CPUCPU
RAMRAM
CPUCPU
RAMRAM
CPUCPU
RAMRAM
CPUCPU
RAMRAM
CPUCPU
RAMRAM
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved12
BladeFrame is Composed of Processing, Switch and Control Blades
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved13
Inherent Capabilities of PAN:Agility, Portability and Availability, Simplicity
§ N+1 High Availability
§ Application and Hardware
§ Virtual Console and VGA
§ vBlades
Server Portability
§ Verifiable DR Scenarios
§ Share DR with Dev / Test
PAN Portability
§ Increased performance
§ Chatty, clustered, 3-Tier applications within PAN
§ Reduced server count
High Speed Fabric
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved14
PRIMERGY BladeFrame System
SwitchBlades
Processing resources on hot-pluggable blades
n Diskless for unprecedented flexibility
n Consistent form factor
n Intel & AMD for price/performance
n Mix and match configurations
Image repository on control blades
n Multi-OS supporto Red Hat Linuxo Novell (SuSE) Linuxo SOLARISo Microsoft Windows
n Unmodified Applications automatically deployed on demand
ProcessingBlades
Control Blades
ProcessingBlades
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved15
Datacenter Virtualization simplifies DR infrastructure….
24-RAC Nodes on BladeFrame 7-RAC Nodes on other Blades
OR
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved16
stateless phys. resources
Fabric
N+1 Standby
2 x Xeon
4 x Opteron
2 x Opteron
4 x Xeon
Primary 1
Primary 2Failover
Failover
UpgradedPrimary 1
Right SizedPrimary 2
PAN Definition(stored in XML)
Abstraction
Capacity Up or Down as Needed
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved17
Automate the Replication, Provisioning, Change Management and Fail Over process
ProductionUtah
Prod pBlade 1Prod pBlade 2Prod pBlade 3
pBlade n
pBlade 1pBlade 2
Dev pBlade 1Dev pBlade 2Dev pBlade 3
pBlade n
DEV & DR SiteWyoming
PAN ArchiveXML File1
Data Replication
ProductionWyoming
Export Import
Prod pBlade 1Prod pBlade 2Prod pBlade 3
No Driver Incompatibility
All Change control documented & transferred
Remotely Administer
No Idle Equipment
Easy to Test
Easy to Scale DR
Best in Class TCO
SAN SAN
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved18
Sample Customers by Segment
Service Providers / xSPs Online Retail US Federal Government
Capital Markets/Banking
Healthcare
Large wireless carriers
MEW-IS
Shanghai Bio
Telecommunications Higher Education
University of Rostock
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved19
Datacenter of the Future
Total # ofComponents
0
500
1,000
1,500
2,000
2,500
Securities Banking Telecom ASP
Legacy
PAN
n PAN dramatically lowers datacenter complexity
n 80% reduction in components
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved20
Datacenter of the Future
…and provides greater than 50% lower TCO
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
Securities Banking Telecom ASP
TCO ($ '000)
Legacy
PAN
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved21
Online Grocer: ERP Application
APPLICATIONn Storefront Web siten BEA WebLogicn Oracle9i RACn CRM, business intelligencen Delivery administrationn Payment processing
CRITICAL BUSINESS ISSUESn Competing solutions introduced
failure pointso Software and clusteringo Build and automation tools o Network infrastructureo 1:1 HA Legacy/Architecture PAN
Complexity# of Components1,800
1,600
1,400
1,200
1,000
800
600
400
200
0
LAN Cables
SAN Cables
SAN Ports
Serial Cables
Network Ports
HBA Cards
NICS
Power Cables
Disk Drives
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved22
US division of large European commercial bank
Problem:n 9/11 and subsequent testing exposed weaknesses
in DR strategy – recovery was slow & inconsistent
n Failover servers didn’t work unless they were same type
n “One application/one server” model at DR
Solution: DR with PRIMERGY Bladeframen Applications and services can be flipped from one
site to the other in minutes, with no impact on users
n DR resources can instantly run any application on either OS (e.g. running test/dev on DR)
0
1
2
3
4
5
6
7
8
Res
tore
Tim
e (h
rs)
Legacy PAN
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved23
Insurance Company
Problem:n Business objective: DR within 24 hours
n IT commitment: 8 hours
n Non Virtualized DR Infrastructure > 6.5 hours
Solution: DR with PRIMERGY Bladeframen Infrastructure failover & applications
recovery in 15-25 minutes
n DR Runbook: > 20 pages over 50 steps to 1 page 9 steps 0
20
40
60
80
100
Rec
over
Suc
cess
Rat
e (%
)Legacy PAN
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved24
Time-to-Market
PRIMERGY BladeFrame -The incarnation of the DDC
Server Utilization
ScalabilityConsolidation
Server Repurposing
High Availability, Disaster Recovery
Andrea Sappia © Fujitsu Siemens Computers 2007 All rights reserved25
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
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Grazie!Andrea [email protected]