Transcript
Page 1: Building Clouds with Apache CloudStack - the business use-cases

@ShapeBlue

The business Use-Case’s for building clouds with Apache CloudStack

Giles SirettCEO & Managing Consultant ShapeBlue

[email protected]: @ShapeBlue

Page 2: Building Clouds with Apache CloudStack - the business use-cases

@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

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vCloud DirectorMicrosoft System

Center

Vendor tied

AbiquoOnAppFlexiantHexagrid

End to end

CloudStackOpenStack

OpennebulaEucalyptus

Open communities

Your orchestration must be open to survive

Trend

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Only CloudStack & OpenStack will survive

Trend

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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

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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

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@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

Trend


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