Using Microsoft Cloud
John Donnelly
Technical Evangelist, Microsoft Technology Centre, Microsoft UK
jodonne@microsoft.com, @caffienated,
Use our services
and build your own
Linux
and Windows
API interface
and a web UI
Node.js, Java, PHP, Python, Ruby
and .net
and a few more: perl,
erlang, Common LISP,
Objective-C
Global
Footprint
and janet
peering
Microsoft’s Data Center Evolution
IT PAC
http://www.globalfoundationservices.com/
Free to try
Using Azure Part 1
Finding a bigger computer
Compute Sizes*
OS disk
space–
cloud
services
OS disk space–
virtual machines
Max. data Max. IOPS
disks
(500 per
(1 TB each) disk)
Price Per Hour
Shared 768 MB
19 GB
20 GB
1
1x500
$0.02 (~$15/month)
Small
1
1.75 GB
224 GB
70 GB
2
2x500
$0.06 (~$45/month)
Medium
2
3.5 GB
489 GB
135 GB
4
4x500
$0.12 (~$89/month)
Large
4
7 GB
999 GB
285 GB
8
8x500
$0.24 (~$179/month)
ExtraLarge
8
14 GB
2,039 GB
605 GB
16
16x500
$0.48 (~$357/month)
A6
4
28 GB
999 GB
285 GB
8
8x500
$0.82 (~$610/month)
A7
8
56 GB
2,039 GB
605 GB
16
16x500
$1.64
(~$1,220/month)
Virtual
machine
size
CPU
cores
ExtraSmall
Memory
What is happening in the
background?
Windows Azure Storage
Windows Azure Storage Account
Storage Security
Windows Azure Storage Abstractions
Blob Storage Concepts
Blob Details
Windows Azure Drives
How Windows Azure Drives Works
Failover with Drives
Cloud First Provisioning
Boot VM from New Disk
>_
Cloud
Image Mobility
Distributions
SUSE SLES 11 sp2
Open SUSE 12.1
CentOS 6.2 by OpenLogic*
Ubuntu 12.04
Integration Components
Testing and validation by partners
Bring other variants at your own risk**
*Image provided by OpenLogic based on CentOS 6.2
VM Depot
Using Windows Azure Part 2
Storing data
Name
Title
Organization
Windows Azure Storage Abstractions
Table Storage Concepts
Entity Properties
No Fixed Schema
Querying
Purpose of the PartitionKey
Using Azure Part 3
The computer that comes after
Changing Nature of Discovery
• Complex models
• Multidisciplinary interactions
• Wide temporal and spatial scales
• Large multidisciplinary data
• Real-time streams
• Structured and unstructured
• Distributed communities
• Virtual organizations
• Socialization and management
• Diverse expectations
• Client-centric and infrastructurecentric
fourthparadigm.org
Data Explosion is Transforming Science
Every research field is now a data
science field
Data-intensive Research
Acquisition &
modelling
Archiving and
preserving
Data
Dissemination
& sharing
fourthparadigm.org
Collaboration
and
visualisation
Analysis &
data mining
Cloud Scale Analytics
University of Adelaide
Accelerating Drug Design - QSAR
5 years
10 hours
Accelerating Research
application
building
blocks
Keeping people moving….
“We’re not in the business of making money.
We’re here to help passengers get from point A
to point B in London.”
Michael Gilbert, Chief Technology Officer,
Transport for London,
“Our vision was for
developers to access
our data and come up
with new and
innovative ways of
offering transport
information to the
travelling public.“
Working together
Data Marketplaces
www.chronozoomproject.org
Chronozoom
An Infinite Canvas in Time
www.chronozoomproject.org
Let scientists be scientists….
Let scientists be scientists….
Use laptops &
desktop computers
Overwhelmed by
data
Finding analysis
ever more difficult;
sharing even
harder
Let scientists be scientists….
vmdepot.msopentech.com
research.microsoft.com/azure/