sanderson-demystifying the cloud · system center on-prem or off-prem hardware use-cases: canned...
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Page 1
NEXT UP:
John Sanderson, Windows Azure Specialistjohnsand@microsoft.com303-546-1397 (Denver)
Page 2
The Cloud
A Platform for ISV’s
The Foundation for Private Cloud
Page 3
Cloud Computing Landscape
Page 4
PaaS
comIaaS
Some of the Players (today)
SaaSAppHarbor
Page 5
What is the Cloud?
• IaaS = Infrastructure as a Service• PaaS = Platform as a Service• SaaS = Software as a Service
InfrastructureServers · Storage · Network
IaaSPlatform
OS & Application Stack
InfrastructureServers · Storage · Network
PaaSApplications
Packaged Software
PlatformOS & Application Stack
InfrastructureServers · Storage · Network
SaaS
Page 6
Management of Resources: What you manage
Apps\Data
Development & Runtime Kernels
Databases
Security, Management, Load Balancing &
Integration
Logical Servers, Storage
Virtualization
OS
Server Hardware
Networking, Utilities, Physical
PRIVATE(On-Premise)
Apps\Data
Development & Runtime Kernels
Databases
Security, Management, Load Balancing &
Integration
Logical Servers, Storage
Virtualization
OS
Server Hardware
Networking, Utilities, Physical
Infrastructureas a Service (IaaS)
Apps\Data
Development & Runtime Kernels
Databases
Security, Management, Load Balancing &
Integration
Logical Servers, Storage
Virtualization
OS
Server Hardware
Networking, Utilities, Physical
Platform as a Service (PaaS)
You
Man
age Yo
u M
anag
e
You
Man
age
Man
aged
by
Vend
or
Man
aged
by
Vend
or
Apps\Data
Development & Runtime Kernels
Databases
Security, Management, Load Balancing &
Integration
Logical Servers, Storage
Virtualization
OS
Server Hardware
Networking, Utilities, Physical
Software as a Service (SaaS)
You
Conf
igur
eM
anag
ed b
y Ve
ndor
Page 7
Distributed ComputingInfrastructure-as-a-Service
Abstraction: HardwareIaaS Implementation:
Windows ServerHyper-VSystem CenterOn-prem or Off-prem hardware
Use-Cases:Canned appsNon-scale architecturesComplete Control
Considerations:ScaleOS MaintenanceBurst Rate
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Distributed ComputingSoftware-as-a-Service
Abstraction: Everything
SaaS Implementation:Office 365, BPOS, Exchange, SharePoint, etc. Online
Use-Cases:Best FitNo Control Needed
Considerations:CostTrustVendor Lock
Page 9
Distributed ComputingPlatform-as-a-Service
Abstraction: Hardware, OSPaaS Implementation:
Visual Studio or EclipseRoles – Storage – App Fabric
Use-Cases:Elastic scaleAgilityHybrid AppsNew apps/scale architecture…
Considerations:CostTrustMigrate or Forklift Mix
Page 10
In a traditional deployment, there are inefficiencies in addressing those issues
TIME
IT C
APA
CITY
Actual Load
Allocated IT-capacities
“Waste“ of capacities
“Under-supply“ of capacities
Fixed cost of IT-capacities
Load Forecast
Barrier forinnovations
Page 11
The “CLOUD” Deployment Model
Actual Load
Allocated IT capacities
Reduction of initial
investments
Reduction of “over-supply“
No “under-supply“
Reduction of IT-capacities with reduced
load
Time
CON
SUM
PTIO
N\C
APA
CITY
Load Forecast
Page 12
Elastic Scale
Cloud Computing Use-Cases
Quick Growth
New Application Deployment
Web-Centric Applications(Remote Customers\Workers)
Hybrid (on/off premise)
High-Performance Computing (HPC): Big Data, Scheduling, Modeling
Infrastructure Limitations
Cloud Storage: Backup, Archive
Page 13
The Microsoft Cloud~100 Globally Distributed Data Centers, Edge Nodes & CDN locations
Quincy, WA Chicago, IL Hong Kong Dublin, Ireland Generation 4 DCs
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Inside a Windows Azure Datacenter
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The evolution of computing
On-premises LOB ApplicationsHybrid applications
Windows Azure: Familiar Tools and Technology
Leveraging Existing IT Investments
PC browser applications
Mobile / otherbrowser
Dev
elop
er E
xper
ienc
eU
se e
xist
ing
skill
s an
d to
ols
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