@ShapeBlue
The business Use-Case’s for building clouds with Apache CloudStack
Giles SirettCEO & Managing Consultant ShapeBlue
[email protected]: @ShapeBlue
@ShapeBlue
CEO of ShapeBlue“ShapeBlue are expert builders of public & private clouds. They are the leading independent global CloudStack / CloudPlatform integrator & consultancy”Involved in Apache Community, Chairman of European CloudStack user group, always talkin’ CloudStackClose relationship with Citrix
Technical enough to be dangerousA unique insight…..
#whoami?
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Enterprises Service Providers
@ShapeBlue
vCloud DirectorMicrosoft System
Center
Vendor tied
AbiquoOnAppFlexiantHexagrid
End to end
CloudStackOpenStack
OpennebulaEucalyptus
Open communities
Your orchestration must be open to survive
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Only CloudStack & OpenStack will survive
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But why CloudStack Giles ?
“It just works”
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But why CloudStack Giles?
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“CloudStack is part of OpenStack, right ?”
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275
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CloudStack Users
@ShapeBlue11
CloudStack Users 2.0
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CloudStack Users 3.0
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The obligatory cloud definition slide
Self ServiceResource pooling
Rapid Elasticity
Metered Use
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Organisations are virtualised = cap/op ex savingsHowever, operationally often still manual
Still often a service ticket to provision new resourcesLong delivery timesRelatively high operational costsRelies on specialist skillsMargin for human error
On-demand self-service is a cloud driver
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Make the most of a global compute estateResources dynamically assigned according to demandWorkloads can be averaged: across departments, across Geos, across times of day, days of month, etcBy pooling resources, reduces the reliance on local capacity planningAbstracts physical resources
Resource pooling is a cloud driver
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The The XaaS model allows accurate cost measurement
ComputeStorageNetworketc
Internal chargeback model much simpler“Shadow IT” can be removed
Measured service is a cloud driver
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Scale upScale backAutoscalingBurst capabilitiesWORKLOAD PORTABILITY
Rapid elasticity is a cloud driver
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Service Provider / public cloudDevops automationAWS insourcing Traditional enterprise workloads
So, todays use-case’s are…
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Use case 1 of 4 - Service provider / public cloud
$2,400,000,000
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August 2012 = 90% public cloud vs other use casesAugust 2013 = 50/50 split
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Use case 2 of 4 - DevopsDeploy my
codeOnly on my infrastructu
re
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Rapid agility demanded by businessAutomate, script, automate, script, automate, scriptEVERYTHING needs infrastructure
Use Case 2 of 4 - Devops
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Use Case 3 of 4 – “AWS Insourcing”
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Use Case 3 of 4 – “AWS Insourcing”
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Known demand
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I realise that AWS is costing too much for my known demand I need to know my tooling will workI need to use the same APII still want to burst to AWSI don’t want to get into a massive/complicated project
Use Case 3 of 4 – “AWS insourcing”
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Use Case 4/4 – Enterprise adoption
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In 2013, we are seeing enterprises doing one of the following:
adopt public cloudbuild private cloudalign with public clouds (technology, process, standards)CloudStack has a unique position in the enterprise
Use Case 4/4 – Enterprise adoption
@ShapeBlue “The car was not a problem. I just lost both
wheels."
Failure happens – Get used to it
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Cloud Era workload
Traditional workload
“I have two types of workload”
“Failure happens”? – no thanks
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Traditional workloadsTraditional n-tier applicationsScale & reliance handled by the infrastructureScale by “scaling up”Infrastructure expected to be always available
Traditional Workloads
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Cloud era workloadsApplications designed for failureApplications designed for massive scaleScale by “scaling out” (horizontally)
How can an enterprise benefit from both models ?
Cloud Era workloads
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Private Cloud
Enterprises will adopt a 2 workload model
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Questions?
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