This document provides an overview of cloud computing concepts including definitions of cloud computing, characteristics of cloud computing like pay per use and reduced costs, and common objections around security and control. It then defines common cloud service models like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) as well as deployment models like private, public and hybrid clouds. The rest of the document focuses on the Microsoft Azure cloud platform, describing its architecture and services like compute, storage, SQL databases and networking capabilities.

1. Cloud Computing
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2. Agenda
• Cloud Computing Fundamentals
• Microsoft Azure

3. What is the Cloud?
• "Cloud computing is a model for enabling
convenient, on-demand network access to a
shared pool of configurable computing
resources (e.g., networks, servers, storage,
applications, and services) that can be rapidly
provisioned and released with minimal
management effort or service provider
interaction. This cloud model promotes
availability.

4. Characteristics
Top five advantages of cloud
computing:
•Pay only for what you use
•Easy/fast deployment to end users
•Monthly payments
•Encourages standard systems
•Requires less in-house staff, costs

5. Chief Objections to the Cloud
• Compliance Issues
• Security
• Control

6. Cloud Evolution

7. Defining the Cloud
Service ModelsDeployment Models
Infrastructure as a Service
(IaaS)
Platform as a Service
PaaS
Software as a Service
SaaS
Private Cloud
Public Cloud
Hybrid Cloud

10. Cloud Computing Terms

11. Cloud Terminology
• Infrastructure as a Service (IaaS):
basic compute and storage resources
– On-demand servers
– Amazon EC2, VMWare vCloud
• Platform as a Service (PaaS): cloud application infrastructure
– On-demand application-hosting environment
– E.g. Google AppEngine, Salesforce.com, Windows Azure
• Software as a Service (SaaS): cloud applications
– On-demand applications
– E.g. Office 365, GMail, Microsoft Office Web Companions

12. Cloud Computing Taxonomy
Higher Cost & More Control Lower Cost &
Higher Agility

13. 2) Choose
image, then
create and
configure
VM(s) for
application
1) Choose image,
then create VM
for DBMS and
configure DBMS
Library
VM
Images
IaaS Developer
Application
Data
Load
Balancer
5)
Configu
re load
balance
r
6) Manage VMs
and DBMS (e.g.,
deploying new OS
images in VMs)
3) Provision
database, then
create tables
and add data
4)
Install
applicat
ion

14. PaaS Developer
Application
Data
Load
Balancer
2) Deploy
applicatio
n
1) Provision
database, then
create tables and
add data

15. Microsoft Azure Platform
Windows Azure
Networking
“Red Dog” Front End (RDFE)

17. Azure Architecture

18. Cloud Services

19. Typical Azure Compute

20. The Windows Azure Service Model
• A Windows Azure application is called a “service”
– Definition information
– Configuration information
– At least one “role”
• Roles are like DLLs in the service “process”
– Collection of code with an entry point that runs in its own
virtual machine
• Windows Azure compute SLA requires two instances
of each role
– 99.95% for connectivity to two instances
– Achieved with update and fault domains

21. Windows Azure Storage Fundamentals
• Storage characteristics
– Durable – replicated three times
– Scalable (capacity and throughput)
– Highly available
• Simple and familiar programming interfaces
– REST (HTTP and HTTPS)
– .NET accessible

22. Blobs
Provide a simple interface for storing named files along with
metadata for the file
Tables
Provide lightly structured storage with a set of entities that
contain a set of properties
Queues
Provide reliable storage and delivery of messages
Storage Objects

23. Storage Account and Blob Containers
• Storage account
– An account can have many blob containers
• Container
– A container is a set of blobs
– Sharing policies are set at the container level
• Public READ or Private
– Associate metadata with container
• Metadata is <name, value> pairs
• Up to 8KB per container
– List the blobs in a container

24. Blob Storage Concepts
BlobContainerAccount
sally
pictures
IMG001.JPG
IMG002.JPG
movies MOV1.AVI

25. Table Data Model
• Table
– A storage account can create many tables
– .NET classes and LINQ
• A table is a set of entities (rows)
– An entity is a set of properties (columns)
– Billions of entities and TBs of data
• Two “key” properties that together are
the unique ID of the entity in the table
– PartitionKey – enables scalability
– RowKey – uniquely identifies the entity within the
partition

26. Table Storage Concepts
EntityTableAccount
sally
users
Name =…
Email = …
Name =…
Email = …
photo index
Photo ID =…
Date =…
Photo ID =…
Date =…

27. Windows Azure Queues
• Provide reliable message delivery
– Simple, asynchronous work dispatch
– Programming semantics ensure that a message can be
processed at least once
• Queues are highly available, durable and performance
efficient
– Maximum size is 64K
– FIFO in general, but not guaranteed
• Pulling an item from the queue doesn’t delete it
– It becomes invisible for a visibility timeout
– Item must be deleted before timeout or else it becomes
visible

28. Queue Storage Concepts
MessageQueueAccount
sally
thumbnail jobs
128x128,
http://…
256x256,
http://…
photo
processing jobs
http://…
http://…

29. Account
Container Blobs
Table Entities
Queue Messages
Windows Azure Data Storage Concepts
http://<account>.blob.core.windows.net/<container>
http://<account>.table.core.windows.net/<table>
http://<account>.queue.core.windows.net/<queue>

30. SQL Database

31. SQL Database Details
• Cloud relational database based on
SQL Server engine
• Use same tools, data access frameworks,
T-SQL based language
• Global datacenters
• High Availability and Redundancy
– Reads are completed at the primary
– Writes are replicated to a quorum of secondaries

32. SQL Database vs SQL Server
Horizontal Scaling
SQL Server Authentication Only
Not all T-SQL Commands Supported
No SSIS
SQL Azure Requires Clustered Indexes
SQL Azure Lacks Access to System Tables
SQL Azure Requires SQL Server Management Studio 2008 R2
SQL Azure Doesn't Support Database Mirroring or Failover Clustering
No SQL Azure Support for Analysis Services, Replication, Reporting Services, or
SQL Server Service Broker
SQL Azure Offers No SQL CLR Support
SQL Azure Doesn't Support Backup and Restore