building clouds with apache cloudstack - the business use-cases

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Giles Sirett , CEO of ShapeBlue did a talk on the Business Use cases for Apache Cloudstack, looking at what’s driving organisations to build IaaS cloud infrastructures and also why those organisations are choosing Apache Cloudstack ahead of other technologies.

TRANSCRIPT

@ShapeBlue

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

Giles SirettCEO & Managing Consultant ShapeBlue

Giles.sirett@shapeblue.comTwitter: @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?

@ShapeBlue

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

Trend

@ShapeBlue

Only CloudStack & OpenStack will survive

Trend

@ShapeBlue

But why CloudStack Giles?

@ShapeBlue

“CloudStack is part of OpenStack, right ?”

@ShapeBlue

275

@ShapeBlue

CloudStack Users

@ShapeBlue11

CloudStack Users 2.0

@ShapeBlue12

CloudStack Users 3.0

@ShapeBlue

The obligatory cloud definition slide

Self ServiceResource pooling

Rapid Elasticity

Metered Use

@ShapeBlue

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

@ShapeBlue

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

@ShapeBlue

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

@ShapeBlue

Scale upScale backAutoscalingBurst capabilitiesWORKLOAD PORTABILITY

Rapid elasticity is a cloud driver

@ShapeBlue

Service Provider / public cloudDevops automationAWS insourcing Traditional enterprise workloads

So, todays use-case’s are…

@ShapeBlue

Use case 1 of 4 - Service provider / public cloud

$2,400,000,000

@ShapeBlue

August 2012 = 90% public cloud vs other use casesAugust 2013 = 50/50 split

@ShapeBlue

Use case 2 of 4 - DevopsDeploy my

codeOnly on my infrastructu

re

@ShapeBlue

Rapid agility demanded by businessAutomate, script, automate, script, automate, scriptEVERYTHING needs infrastructure

Use Case 2 of 4 - Devops

@ShapeBlue

Use Case 3 of 4 – “AWS Insourcing”

Jan

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usage

usage

@ShapeBlue

Use Case 3 of 4 – “AWS Insourcing”

Jan

Feb

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usage

Known demand

@ShapeBlue

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”

@ShapeBlue

Use Case 4/4 – Enterprise adoption

@ShapeBlue

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

@ShapeBlue

Cloud Era workload

Traditional workload

“I have two types of workload”

“Failure happens”? – no thanks

@ShapeBlue

Traditional workloadsTraditional n-tier applicationsScale & reliance handled by the infrastructureScale by “scaling up”Infrastructure expected to be always available

Traditional Workloads

@ShapeBlue

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

@ShapeBlue

Private Cloud

Enterprises will adopt a 2 workload model

Trend

@ShapeBlue

Questions?

Giles.Sirett@shapeblue.com

@ShapeBlue

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