cloud becomingreality
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Cloud becoming realitythe next phase of developmentjosh.holmes@microsoft.com http://www.joshholmes.com
Hi – my name is Josh
I work for Microsoft Ireland
We’re all excited about Cloud
Issues with traditional infrastructures…
TIME
IT C
APAC
ITY
Actual Load
Allocated IT-
capacities
“Waste“ of capacities
“Under-supply“ of capacities
Fixed cost of IT-capacities
Load Forecast
Barrier forinnovations
However, in a Cloud View
Actual Load
Allocated IT capacities
Reduction of initial
investments
Reduction of “over-
supply“
No “under-supply“
Possible reduction of IT-capacities
in case of reduced load
Time
IT C
APAC
ITY
Load Forecast
Load Patterns
Usage
Com
pute
Time
Average
InactivityPeriod
“On and Off “
On & off workloads (e.g. batch job)Over provisioned capacity is wasted Time to market can be cumbersome
Com
pute
Time
“Unpredictable Bursting“
Average Usage
Unexpected/unplanned peak in demand Sudden spike impacts performance Can’t over provision for extreme cases
Average Usage
Com
pute
Time
“Growing Fast“
Successful services needs to grow/scale Keeping up w/ growth is big IT challenge Cannot provision hardware fast enough
Com
pute
Time
Average Usage
“Predictable Bursting“
Services with micro seasonality trends Peaks due to periodic increased demandIT complexity and wasted capacity
Cloud Services
Software-as-a-Serviceconsume
“SaaS”Platform-as-a-Service
build
“PaaS”Infrastructure-as-a-
Servicehost
“IaaS”
Cloud ServicesPackaged Software
Storage
Servers
Networking
O/S
Middleware
Virtualization
Data
Applications
Runtime
You
man
age
Infrastructure(as a Service)
Storage
Servers
Networking
O/S
Middleware
Virtualization
Data
Applications
Runtime
Managed by vendor
You
man
age
Platform(as a Service)
Managed by vendor
You
man
age
Storage
Servers
Networking
O/S
Middleware
Virtualization
Applications
Runtime
Data
Software(as a Service)
Managed by vendor
Storage
Servers
Networking
O/S
Middleware
Virtualization
Applications
Runtime
Data
Why Cloud?
Barriers to Innovation
A case study…
Profile
Largest dept of education in southern hemisphere
Problem before themTo improve year 8
scientific testing, needed to run 65,000 concurrent science exams across 650 schools.
Had to decide to on Cloud, vs self-hosted.
Self hosted
A$ 200,000To procure 300 server infrastructure for project
Estimated up front cost of
Self hosted
?To maintain and store servers etc
Continuing costs of
Microsoft AzureScale on demand, power when neededNo on-going costs.
Total cost for running tests…
$80,000?
$50,000?
$1,000?
Just $500.
300 Servers at $0.12 = only $40 per hour
Perspective.
Self hosting Microsoft Azure$0
$50,000
$100,000
$150,000
$200,000
$250,000
Global Reach
A case study…
No man is an island entire of itself
Case study in cost savings…
Problem they solve
Warehousing data for hospitals is expensive, time consuming and fragmented across all the hospitals.
Self hosted
€ 100,000Per hospital to get high quality data records such as updated physician list.
Normal up front costs of
Eye on Health +Microsoft Azure
Scale on demand, power when neededExtensive storage on demandBacked up in triplicate Centralized Services
Drops the price to
Just and average of € 5000
And enablesdata analysisacross 400+ hospitals
And ensures immediateregulatory complianceacross the industry
Case study in new services…
Love Clean Streets
http://www.lewisham.gov.uk/doitonline/Pages/Report-it.aspx
£5.10 to take a claim
by phone dropped to £1.10 on
web
87% improvement in clean up time
responses
21% reduction in
cases
love clean streets
So what’s the path?
So what’s the path to the cloud?
1. Demand Side
Educating our users…
2. Supply side
3. Infrastructure
Connecting Our Users…
Most of the artwork used in this presentation is licensed under
Creative Commons by Frits Ahlefeldt, aka hikingartist Support his amazing craft at
http://hikingartist.com
thanks to des from
for help with the data visualization…
Cloud becoming realitythe next phase of developmentjosh.holmes@microsoft.com http://www.joshholmes.com
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