1. Hello Cloud… an introduction to Windows Azure
Part 1
Mike Benkovich
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2. Software Challenges Today
# of users? After 1 month? 6 months? 1 yr?
Capacity? Servers? Bandwidth? Storage?
How do you scale up or down over time?
How can you handle peak loads?
How do you provide high availability?
What are the upfront capital costs?
How quickly can you go live?
How do you reduce your operations costs?
Slide objectives:
Provide some context for why there is hype/interest in the cloud by focusing on some of the practical issues developers face when building web applications.
Speaking Points:
Today there are a number of challenges that you face when building web applications.
For example, imagine you are building what you hope will be the next big social networking site or online game. Or perhaps you are building a commerce site for selling tickets to sporting events.
One of the first things you have to try to guestimate is the number of users. How many people do you expect to use your web application or service? After 1 month? After 6 months? Or after a year?
Do you expect that the number of users will continue to scale up?
How do users translate into capacity? Into servers? Or storage requirements?
How do you scale up or down your web application over time? If you consider the online gaming scenario, you can imagine that when a new game is launched there is a spike in traffic and usage, but overtime the usage slows.
How can you handle peak loads? For example, if you are selling tickets for a major sporting event and the tickets go on sale at a specific time – how do you ensure that you can scale to thousands of concurrent users?
How do you provide high availability – not just during the peak loads, but how do you ensure a quick response time for all of your worldwide users?
What are the upfront capital costs to build out the infrastructure?
How quickly will the infrastructure be available?
Or if you have an established application, how can you reduce your operations costs?
Most of these challenges have little to do with which programming languages, tools, or application frameworks you are using.
These are some of the problems that we believe the cloud can help address.
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3. Software Challenges Today
$$$
Datacenter peak load
Usage
Idle time
Jan
Apr
Jul
Oct
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4. Case Study : Overview: Company sells tickets online
Challenge: How can we scale up to sell 150,000 tickets as fast as possible?
Timeframe: ASAP
Source:
April 23, 2011
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5. Data Center Abstraction
Ultimately cloud is collection of hardware in Data Centers
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6. Data Center Abstraction
Racks, Routers, Blades
Compute
Storage
Networking
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7. Data Center Abstraction
Azure Fabric enforces Constraints for SLA
Highly available
Redundant
Performant
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8. What is Cloud Computing
Reduce capital & operations costs
Simplify application deployment & management
Application & infrastructure flexibility
Simplify scaling to internet scale
Cost effectively handle peak loads
Focus on new functionality & not infrastructure
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9. Cloud Services Packaged Software Infrastructure Platform Software
Storage
Servers
Networking
O/S
Middleware
Virtualization
Data
Applications
Runtime
You manage
Infrastructure
(as a Service)
Storage
Servers
Networking
O/S
Middleware
Virtualization
Data
Applications
Runtime
Managed by vendor
You manage
Platform
(as a Service)
Managed by vendor
You manage
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
Slide Objectives:
Explain the differences and relationship between IaaS, PaaS, and SaaS in more detail.
Speaking Points:
Here’s another way to look at the cloud services taxonomy and how this taxonomy maps to the components in an IT infrastructure.
Packaged Software
With packaged software a customer would be responsible for managing the entire stack – ranging from the network connectivity to the applications.
IaaS
With Infrastructure as a Service, the lower levels of the stack are managed by a vendor. Some of these components can be provided by traditional hosters – in fact most of them have moved to having a virtualized offering.
Very few actually provide an OS
The customer is still responsible for managing the OS through the Applications.
For the developer, an obvious benefit with IaaS is that it frees the developer from many concerns when provisioning physical or virtual machines.
This was one of the earliest and primary use cases for Amazon Web Services Elastic Cloud Compute (EC2).
Developers were able to readily provision virtual machines (AMIs) on EC2, develop and test solutions and, often, run the results ‘in production’.
The only requirement was a credit card to pay for the services.
PaaS
With Platform as a Service, everything from the network connectivity through the runtime is provided and managed by the platform vendor.
The Windows Azure Platform best fits in this category today.
In fact because we don’t provide access to the underlying virtualization or operating system today, we’re often referred to as not providing IaaS.
PaaS offerings further reduce the developer burden by additionally supporting the platform runtime and related application services.
With PaaS, the developer can, almost immediately, begin creating the business logic for an application.
Potentially, the increases in productivity are considerable and, because the hardware and operational aspects of the cloud platform are also managed by the cloud platform provider, applications can quickly be taken from an idea to reality very quickly.
SaaS
Finally, with SaaS, a vendor provides the application and abstracts you from all of the underlying components.
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10. Pay only for what you use
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11. 89 countries and territories
Australia
Austria
Belgium
Brazil
Canada
Chile
Colombia
Costa Rica
Cyprus
Czech Republic
Denmark
Finland
France
Germany
Greece
Hong Kong
Hungary
India
Ireland
Israel
Italy
Japan
Korea
Luxembourg
Malaysia
Mexico
Netherlands
New Zealand
Norway
Peru
Philippines
Poland
Portugal
Puerto Rico
Romania
Russia
Singapore
Spain
Sweden
Switzerland
Trinidad & Tobago UK
United States
New Countries:
Algeria
Argentina
Belarus
Bulgaria
Croatia
Dominican Rep
Ecuador
Egypt
El Salvador
Estonia
Guatemala
Iceland
Indonesia
Jordan
Kazakhstan
Kenya
Kuwait
Latvia
Liechtenstein
Lithuania
Macedonia
Malta
Montenegro
Morocco
Azerbaijan
Nigeria
Oman
Pakistan
Panama
Paraguay
Qatar
Saudi Arabia
Serbia
Slovakia
Slovenia
South Africa
Sri Lanka
Taiwan
Thailand
Tunisia
Turkey
UAE
Ukraine
Uruguay
Venezuela
Bahrain
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12. 99.95% monthly SLA Learn More @ http://www.learnnowonline.com
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13. Why Cloud Reduce operations cost Leverage Efficiencies of Scale
Speed to Market
Disposable Computing
Scalability
Global Presence
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14. Hello Windows Azure!

15. Why Windows Azure Familiar Environment Speed to Market
Best in Class Developer Tools
Secure
Windows Azure Storage & CDN
SQL Azure
Financially Backed SLA
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16. Windows Azure Core Services Additional Services Compute Storage
Caching
CDN
Service Bus
Reporting
Data Sync
Azure Connect
Identity
HPC
Additional Services
Compute
Storage
Database
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17. Windows Azure Compute cloud services virtual machines web sites
Build Infinitely Scalable Apps
Rich Multi-tier Architectures
Automated App Management
virtual machines
Windows Server & Linux
Flexible Workload Support
Virtual Private Networking
web sites
Build ASP.NET, Node.js or PHP
Deploy in seconds (FTP,Git,TFS)
Start free, scale up with traffic

18. Service Model Whiteboard
Front-End
Mark’s Cloud Application
Middle-Tier
HTTP/HTTPS
Windows
Azure
Storage, SQL Azure
Load Balancer
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19. Role Contents Definition: Code: Configuration: Role name Role type
VM size (e.g. small, medium...)
Network endpoints
Code:
Web/Worker Role: Hosted DLL and other executables
VM Role: VHD
Configuration:
Number of instances
Number of update and fault domains
Role: Front-End
Definition
Type: Web
VM Size: Small
Endpoints: External-1
Role: Middle-Tier
Definition
Type: Worker
VM Size: Large
Endpoints: Internal-1
Configuration
Instances: 2
Update Domains: 2
Fault Domains: 2
Configuration
Instances: 3
Update Domains: 2
Fault Domains: 2
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20. The Fabric Controller (FC)
The “kernel” of the cloud operating system
Manages datacenter hardware
Manages Windows Azure services
Four main responsibilities:
Datacenter resource allocation
Datacenter resource provisioning
Service lifecycle management
Service health management
Inputs:
Description of the hardware and network resources it will control
Service model and binaries for cloud applications
Server
Kernel
Process
Datacenter
Fabric Controller
Service
Windows Kernel
Word
SQL Server
Exchange
Online
SQL Azure
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21. Windows Azure Instance Sizes*
$0.12
Per service hour
$0.24
$0.48
$0.96
$0.02
Extra Small
Small
Medium
Large
X-Large
Unit Of Compute Defined Equivalent Compute Capacity Of A 1.6ghz Processor (On 64bit Platform)
1 x 1Ghz (low IO)
768 MB memory
20 GB storage (instance storage)
1 x 1.6Ghz (moderate IO)
1.75 GB memory
250 GB storage (instance storage)
2 x 1.6Ghz (high IO)
3.5 GB memory
500 GB storage (instance storage)
4 x 1.6Ghz (high IO)
7.0 GB memory
1000 GB storage (instance storage)
8 x 1.6Ghz (high IO)
14 GB memory
2000 GB (instance storage)
Windows Azure offers variable instance sizes to handle complex workloads of any size.
Windows Azure is a PaaS platform. That means pricing includes the costs of all patches and maintenance of the underlying infrastructure. When considering cloud alternatives, make sure to asses time and personnel costs for these types of maintenance activities.
Extra Small
Small
Medium
Large
X-Large
As of October 2012 – subject to change
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22. Windows Azure Storage Storage in the Cloud
Scalable, durable, and available
Anywhere at anytime access
Only pay for what the service uses
Disaster Recovery – Geo Replication
Exposed via RESTful Web Services
Use from Windows Azure Compute
Use from anywhere on the internet
Various storage abstractions
Tables, Blobs, Queues, Drives
This should be a recap as this session will dig deeper into the services.
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23. Introduction to Windows Azure
End of Part 1
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