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Microsoft Cloud 101
Bill Zack, Architect Evangelist, Microsoft
wzack@microsoft.com
Blog: blogs.msdn.com/billzack
In case we don’t get to it  learn more at the
New York Windows Azure User Group
Windows Azure: Application Model & Roles,
Cloud Storage, Health Monitoring
SQL Services: SQL Data Services, Queries,
Sync
.NET Services: Internet Service Bus , Access
Control , Workflow
Live Services: Live ID, Live Mesh

Every 4th Monday
http://www.azureusergroup.com
Additional Resources
The Azure Services Portal
http://azure.com

The Documentation Library
http://msdn.microsoft.com/en-us/azure
Who is the Azure™ Services Platform for?
Anyone building scalable available services
Entrepreneurs
ISVs (large and small)
Web startups
Hobbyists
etc.
Why should I bet my business on it?
Consumption-based model (TBA Summer 09)
You pay only for what you use
No minimum or long term commitment
An inexpensive way to experiment
Easy to grow as your business grows

Managed elastic capacity and scalability
Simpler operating and management environment for
developers
Integrates well with on-premises applications and
services
Leverages existing technology investments and skills
Sounds great! What should I do next?
Download the Visual Studio tools & SDK
Develop and test locally
Start experimenting now

Get access to the real Cloud
Sign up for an account
Deploy your application to the cloud
Test it out

Give us feedback!
Help us “shape the cloud” 
Microsoft Cloud Services Overview

Three categories:
Online (+)
Live
Azure Services Platform
Online +
Microsoft or partner hosted versions of onpremise software.
Most carry “Online” moniker. (Some do not )
Hosted services include:
Exchange Online and Exchange Hosted Services
SharePoint Online
Office Communications Online (not available yet)
Live Meeting
Dynamics CRM Online
Live
Large set of Microsoft based services
Subscribed to by an Aggregator (which could also
be Microsoft as in the case of the Windows Live
portal
For adding functionality to web sites the
Aggregators offers up to Internet clients.
Azure Services Platform
Used to build distributed applications and data
which may involve on-premise and cloud based
components.
It provides:
Cloud based Execution of ASP.NET and batch applications
Multiple Storage types,
Database,
Internet message relay and pub/sub
Workflow
Azure™ Services Platform
Windows® Azure™ (Cloud OS)
Service Management
Compute
Essential Storage
Developer Experience

SQL Services
SQL Data Services

.NET Services
Access Control
Service Bus
Workflow

12
Windows Azure Service Management
Massive scale

Compute & Storage “Fabric”
Hundreds / thousands of server nodes
Upward / downward scalability

Availability & Durability
Fault Domains
Update Domains

Geo-Distribution
Windows Azure Service Management
You focus on your Business Logic
We provide “Enlightened Mode”
(managed) VMs
We handle Automated Service
Management
Manage services not machines!
Declarative specification (model)
Image multi-cast deployment & upgrade
Auto scale-out of instances
Configuration, Health, Alerts, Usage/Billing, SLA

Some programming limitations exist
Provisioning Services

15
Windows Azure Compute
Processing Roles (Front End, Back-End)
Web
Worker
Web + Worker

Instances
Scalability
Distribution
Lean OS & Hypervisor based
Supports Managed and Unmanaged code
Windows Azure Web Role

LB

n
Front End Role
API
Configuration

Store

n identical instances of a single role
Ex: Highly scalable web application
Windows Azure Web and Worker Roles

LB

n
Front End Role

m
Queue

Back End Role

API

API

Configuration

Configuration

Store

Queue enables async, reliable processing
Ex: Video encoding application
Windows Azure Storage
Massive scale and low cost
Durable, available, scalable and secure
Redundant copies, commodity hardware,
layered architecture

Blobs: Simple interface for storing named
files along with metadata for the file
Tables: Structured storage. A set of entities,
which contain a set of properties.
Partitonable
Queues: Reliable storage and delivery of
messages for an application
Windows Azure Storage: Blobs
Store Large Objects (up to 50 GB each)
Account/Container/Blob/Block naming
Standard REST Put/Get Interface
PutBlob(BlobName, stream, size)
Overwrites the existing blob by that name

GetBlob(BlobName, starting offset, length)
DeleteBlob(BlobName)

Associate Metadata with Blob
Metadata is <name, typed value> pairs
Set/Get with or separate from blob data bits
Up to 8KB per blob
Streaming a Blob via Blocks
Uploading a Large Blob
blobName = “MyMovie”;

Benefit:
• Efficient continuation
and retry
• Parallel and out of
order upload of blocks

PutBlock(blobName, blockId1, block1Bits);
PutBlock(blobName, blockId2, block2Bits);
Block Id N

Block Id 3

Block Id 2

Block Id 1

10 GB Movie

…………
PutBlock(blobName, blockIdN, blockNBits);

PutBlockList(blobName,
blockId1,…,blockIdN);

MyMovie Windows Azure
Storage

22
Windows Azure Storage: Tables
Windows Azure Storage: Tables
Structured storage in the form of Tables
A Table is a set of entities (rows)
An Entity is a set of properties (columns)

Namespace
Account Name
– Table Name
Entity (PartitionKey, RowKey)

Table Name
You give a unique name to each Table, which is scoped by
Account
An account can create many tables

Focus is to provide Scalable Structured Storage via Tables
Not a relational database (e.g., no foreign keys, no joins,
etc)
Windows Azure Storage: Tables
Your table can grow to be billions of entities
(rows) and TBs of data
The table may need to be spread across
thousands of servers to handle traffic to that
table
Partitioning is how we spread the table out
The Table’s entities are broken into partitions
Scaling Tables through Partitions
Partition Key
Document
Name

Row Key
Version

Column 3
Modification
Time

Column
4
State

……
….

Column N
Description

Examples Doc

V2.0

8/2/2007

Current

……
….

Committed version

Partition 1

Examples Doc

V2.0.1

9/28/2007

Working

Alice’s working version

FAQ Doc

V1.0

5/2/2007

Current

Current committed version

FAQ Doc

V1.0.1

7/6/2007

Working

Alice’s working version

FAQ Doc

V1.0.2

8/1/2007

Working

Sally’s working version

FAQ Doc

V1.0.3

9/6/2007

Working

Bob’s working version

Partition 2

Table’s entities are broken up into Partitions
Partition: set of entities with same partition key value
PartitionKey – unique ID for the partition within the Table
RowKey – unique ID for the row within the partition
All Queries are sorted by Partition Key and then by Row Key

Each partition can be served by different nodes
26
Why Partition?
Entity Locality
Entities in the same partition will be stored
together for efficient querying and cache locality
when accessing

Table Throughput
Table Storage automatically performs partition
load balancing based upon the partition key
Scale to meet the traffic needs of your application
27
Windows Azure: Queues
Provides reliable queued message delivery
Simple, asynchronous work dispatch via queues
The programming semantics ensure that a message is
retrieved at least once

Queue access provided via REST
Account can contain Queues
Queue contains Messages
URL:
http://<Account>.queue.core.windows.net/<QueueName>

Queues contain Messages
Message Size <= 8 KB
Messages can contain references to blob/table storage
28
Queues

29
Windows Azure Developer Experience
Extends what you already know how to do!
Leverages Visual Studio
3 New Templates
Focus on Business Logic, and
Leave the scalability and availability to us

SDK has The Cloud in a Box!
Emulated cloud services
Spin up multiple Roles & Instances
F5 debugging & breakpoints

No Breakpoints in the real cloud!
Logging/tracing to cloud based log files
Debugging
SDK includes the Cloud “In a Box”.
Emulated cloud services
Spin up multiple Roles & Instances
F5 debugging & breakpoints

No Breakpoints in the real cloud!
Logging/tracing to cloud based log files

31
Demo: The Cloud in a Box!
Windows Azure Development Fabric

33
Windows Azure Testing Modes
Deployment

36
SQL Services: SQL Data Services
Standard T-SQL over TDS
Managed SQL Server Fabric
Supports most of what you are used to
Relational Schema (Tables, Indexes & Views)
Stored Procedures
Triggers & Constraints
Table Variables & Session Temp Tables
Non-Distributed Transactions

Connection string change: local to cloud
There will be a per-DB max size limit
If Time Permits  we will talk about
.NET Services
Access Control Service
[Internet] Service Bus
Workflow
.NET Services: Access Control Svc
Challenge
Ensuring secure transactions for systems in disparate security domains is
crucial but difficult to implement
COMPANY C

COMPANY A
ADFS

COMPANY B

Secure

Provides hosted identity and access services for organizations while
allowing them to fully control it

Federated &
Flexible

Next-generation AD access and federation services for organization
and third-party applications

Standards
Based

Claims based access control using secure tokens
Based on standards such as WS-Trust, REST and SOAP
.NET Services: Service Bus
Challenge
Applications built in the cloud will need to span systems to talk to other third
party apps or applications that are on premise
APPLICATION D

INTERNET SERVICE BUS

APPLICATION A

APPLICATION B

APPLICATION C

Federated

Applications can connect securely across firewalls and org boundaries
in a loosely coupled, federated manner

Powerful

Request - Response, and publish subscribe with multiple senders and
receivers on a single rendezvous point

Simple

low footprint download built using standards such as HTTP, RSS,
SOAP
Service Bus (WCF Relay Bindings)

Identity
Service
Trust

Authenticate

Connectivity
Service

3

Connect

Open

4

2

1
Authenticate

5
Relayed
Connection

Client

6
Direct
Connection
(optional)

Service

41
.NET Services: Workflow
Challenge
As activities are offloaded to the cloud, how do you do long running multi step
activities driven by events
Application C

Visual Studio

XAML

Application B
Application A
Agility

Enables you to create workflows without worrying about deployments

Simplicity

Uses similar programming model as on-premises workflows

Federated

Enables cross-organization and cross-trust domain workflows
Workflow (Update)
Windows Workflow in the cloud!
XOML only
Restricted list of allowed activities

Basic “process orchestration” between parties
HttpReceive
HttpSend
ServiceBusSend
XPathRead
XPathUpdate

Basic copy/paste deployment
Can also be done via an API
43
Workflow

44
CTP Temporary Limitations (Updt)
Only in one data center
Access token expiration based on inactivity
Quota based account suspension, but
arrangements can be made for exceptions
Support limited to:
Forums
Limited incident support

45
CTP Temporary Limitations (Updt)
VMs provided
1 Core 1.9GHZ
2 GB memory
160 GB local storage (non-persistent)

2 role instances
8 VMs in simultaneous use per account
2 role instances x 2 roles x 2 tenants (staging and
production). This will not be a limitation of the final
release.
CTP Temporary Limitations (Repl)
50 GB of storage across all Authorities
1000 Containers per Authority
1 GB of Blob Entities per Container
100 MB of Flexible Entities per Container
Each Blob Entity will be capped at 100mb
Sounds great! What should I do next?
Download the Visual Studio tools & SDK
Develop and test locally
Start experimenting now

Get access to the real Cloud
Sign up for an account
Deploy your application to the cloud
Test it out

Give us feedback!
Help us “shape the cloud” 
Microsoft ®
Your Potential, Our Passion

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Here are the key benefits of Windows Azure Workflow:- Scalable - Workflow instances can scale out across multiple servers as load increases.- Durable - Workflow instances persist across service restarts and hardware failures.- Visible - Workflow instances and their state can be monitored and managed.- Programmable - Workflow activities can call any Azure service or external system.- Event-driven - Workflows can respond to events from services like queues, tables, etc. - Integrated - Workflows integrate with other Azure services like storage, SQL, etc.So in summary, Windows Azure Workflow allows long-running, reliable processes to be built as workflows that integrate with other Azure services and

  • 1. Microsoft Cloud 101 Bill Zack, Architect Evangelist, Microsoft wzack@microsoft.com Blog: blogs.msdn.com/billzack
  • 2. In case we don’t get to it  learn more at the New York Windows Azure User Group Windows Azure: Application Model & Roles, Cloud Storage, Health Monitoring SQL Services: SQL Data Services, Queries, Sync .NET Services: Internet Service Bus , Access Control , Workflow Live Services: Live ID, Live Mesh Every 4th Monday http://www.azureusergroup.com
  • 3. Additional Resources The Azure Services Portal http://azure.com The Documentation Library http://msdn.microsoft.com/en-us/azure
  • 4. Who is the Azure™ Services Platform for? Anyone building scalable available services Entrepreneurs ISVs (large and small) Web startups Hobbyists etc.
  • 5. Why should I bet my business on it? Consumption-based model (TBA Summer 09) You pay only for what you use No minimum or long term commitment An inexpensive way to experiment Easy to grow as your business grows Managed elastic capacity and scalability Simpler operating and management environment for developers Integrates well with on-premises applications and services Leverages existing technology investments and skills
  • 6. Sounds great! What should I do next? Download the Visual Studio tools & SDK Develop and test locally Start experimenting now Get access to the real Cloud Sign up for an account Deploy your application to the cloud Test it out Give us feedback! Help us “shape the cloud” 
  • 7. Microsoft Cloud Services Overview Three categories: Online (+) Live Azure Services Platform
  • 8. Online + Microsoft or partner hosted versions of onpremise software. Most carry “Online” moniker. (Some do not ) Hosted services include: Exchange Online and Exchange Hosted Services SharePoint Online Office Communications Online (not available yet) Live Meeting Dynamics CRM Online
  • 9. Live Large set of Microsoft based services Subscribed to by an Aggregator (which could also be Microsoft as in the case of the Windows Live portal For adding functionality to web sites the Aggregators offers up to Internet clients.
  • 10.
  • 11. Azure Services Platform Used to build distributed applications and data which may involve on-premise and cloud based components. It provides: Cloud based Execution of ASP.NET and batch applications Multiple Storage types, Database, Internet message relay and pub/sub Workflow
  • 12. Azure™ Services Platform Windows® Azure™ (Cloud OS) Service Management Compute Essential Storage Developer Experience SQL Services SQL Data Services .NET Services Access Control Service Bus Workflow 12
  • 13. Windows Azure Service Management Massive scale Compute & Storage “Fabric” Hundreds / thousands of server nodes Upward / downward scalability Availability & Durability Fault Domains Update Domains Geo-Distribution
  • 14. Windows Azure Service Management You focus on your Business Logic We provide “Enlightened Mode” (managed) VMs We handle Automated Service Management Manage services not machines! Declarative specification (model) Image multi-cast deployment & upgrade Auto scale-out of instances Configuration, Health, Alerts, Usage/Billing, SLA Some programming limitations exist
  • 16.
  • 17. Windows Azure Compute Processing Roles (Front End, Back-End) Web Worker Web + Worker Instances Scalability Distribution Lean OS & Hypervisor based Supports Managed and Unmanaged code
  • 18. Windows Azure Web Role LB n Front End Role API Configuration Store n identical instances of a single role Ex: Highly scalable web application
  • 19. Windows Azure Web and Worker Roles LB n Front End Role m Queue Back End Role API API Configuration Configuration Store Queue enables async, reliable processing Ex: Video encoding application
  • 20. Windows Azure Storage Massive scale and low cost Durable, available, scalable and secure Redundant copies, commodity hardware, layered architecture Blobs: Simple interface for storing named files along with metadata for the file Tables: Structured storage. A set of entities, which contain a set of properties. Partitonable Queues: Reliable storage and delivery of messages for an application
  • 21. Windows Azure Storage: Blobs Store Large Objects (up to 50 GB each) Account/Container/Blob/Block naming Standard REST Put/Get Interface PutBlob(BlobName, stream, size) Overwrites the existing blob by that name GetBlob(BlobName, starting offset, length) DeleteBlob(BlobName) Associate Metadata with Blob Metadata is <name, typed value> pairs Set/Get with or separate from blob data bits Up to 8KB per blob
  • 22. Streaming a Blob via Blocks Uploading a Large Blob blobName = “MyMovie”; Benefit: • Efficient continuation and retry • Parallel and out of order upload of blocks PutBlock(blobName, blockId1, block1Bits); PutBlock(blobName, blockId2, block2Bits); Block Id N Block Id 3 Block Id 2 Block Id 1 10 GB Movie ………… PutBlock(blobName, blockIdN, blockNBits); PutBlockList(blobName, blockId1,…,blockIdN); MyMovie Windows Azure Storage 22
  • 24. Windows Azure Storage: Tables Structured storage in the form of Tables A Table is a set of entities (rows) An Entity is a set of properties (columns) Namespace Account Name – Table Name Entity (PartitionKey, RowKey) Table Name You give a unique name to each Table, which is scoped by Account An account can create many tables Focus is to provide Scalable Structured Storage via Tables Not a relational database (e.g., no foreign keys, no joins, etc)
  • 25. Windows Azure Storage: Tables Your table can grow to be billions of entities (rows) and TBs of data The table may need to be spread across thousands of servers to handle traffic to that table Partitioning is how we spread the table out The Table’s entities are broken into partitions
  • 26. Scaling Tables through Partitions Partition Key Document Name Row Key Version Column 3 Modification Time Column 4 State …… …. Column N Description Examples Doc V2.0 8/2/2007 Current …… …. Committed version Partition 1 Examples Doc V2.0.1 9/28/2007 Working Alice’s working version FAQ Doc V1.0 5/2/2007 Current Current committed version FAQ Doc V1.0.1 7/6/2007 Working Alice’s working version FAQ Doc V1.0.2 8/1/2007 Working Sally’s working version FAQ Doc V1.0.3 9/6/2007 Working Bob’s working version Partition 2 Table’s entities are broken up into Partitions Partition: set of entities with same partition key value PartitionKey – unique ID for the partition within the Table RowKey – unique ID for the row within the partition All Queries are sorted by Partition Key and then by Row Key Each partition can be served by different nodes 26
  • 27. Why Partition? Entity Locality Entities in the same partition will be stored together for efficient querying and cache locality when accessing Table Throughput Table Storage automatically performs partition load balancing based upon the partition key Scale to meet the traffic needs of your application 27
  • 28. Windows Azure: Queues Provides reliable queued message delivery Simple, asynchronous work dispatch via queues The programming semantics ensure that a message is retrieved at least once Queue access provided via REST Account can contain Queues Queue contains Messages URL: http://<Account>.queue.core.windows.net/<QueueName> Queues contain Messages Message Size <= 8 KB Messages can contain references to blob/table storage 28
  • 30. Windows Azure Developer Experience Extends what you already know how to do! Leverages Visual Studio 3 New Templates Focus on Business Logic, and Leave the scalability and availability to us SDK has The Cloud in a Box! Emulated cloud services Spin up multiple Roles & Instances F5 debugging & breakpoints No Breakpoints in the real cloud! Logging/tracing to cloud based log files
  • 31. Debugging SDK includes the Cloud “In a Box”. Emulated cloud services Spin up multiple Roles & Instances F5 debugging & breakpoints No Breakpoints in the real cloud! Logging/tracing to cloud based log files 31
  • 32. Demo: The Cloud in a Box!
  • 35.
  • 37. SQL Services: SQL Data Services Standard T-SQL over TDS Managed SQL Server Fabric Supports most of what you are used to Relational Schema (Tables, Indexes & Views) Stored Procedures Triggers & Constraints Table Variables & Session Temp Tables Non-Distributed Transactions Connection string change: local to cloud There will be a per-DB max size limit
  • 38. If Time Permits  we will talk about .NET Services Access Control Service [Internet] Service Bus Workflow
  • 39. .NET Services: Access Control Svc Challenge Ensuring secure transactions for systems in disparate security domains is crucial but difficult to implement COMPANY C COMPANY A ADFS COMPANY B Secure Provides hosted identity and access services for organizations while allowing them to fully control it Federated & Flexible Next-generation AD access and federation services for organization and third-party applications Standards Based Claims based access control using secure tokens Based on standards such as WS-Trust, REST and SOAP
  • 40. .NET Services: Service Bus Challenge Applications built in the cloud will need to span systems to talk to other third party apps or applications that are on premise APPLICATION D INTERNET SERVICE BUS APPLICATION A APPLICATION B APPLICATION C Federated Applications can connect securely across firewalls and org boundaries in a loosely coupled, federated manner Powerful Request - Response, and publish subscribe with multiple senders and receivers on a single rendezvous point Simple low footprint download built using standards such as HTTP, RSS, SOAP
  • 41. Service Bus (WCF Relay Bindings) Identity Service Trust Authenticate Connectivity Service 3 Connect Open 4 2 1 Authenticate 5 Relayed Connection Client 6 Direct Connection (optional) Service 41
  • 42. .NET Services: Workflow Challenge As activities are offloaded to the cloud, how do you do long running multi step activities driven by events Application C Visual Studio XAML Application B Application A Agility Enables you to create workflows without worrying about deployments Simplicity Uses similar programming model as on-premises workflows Federated Enables cross-organization and cross-trust domain workflows
  • 43. Workflow (Update) Windows Workflow in the cloud! XOML only Restricted list of allowed activities Basic “process orchestration” between parties HttpReceive HttpSend ServiceBusSend XPathRead XPathUpdate Basic copy/paste deployment Can also be done via an API 43
  • 45. CTP Temporary Limitations (Updt) Only in one data center Access token expiration based on inactivity Quota based account suspension, but arrangements can be made for exceptions Support limited to: Forums Limited incident support 45
  • 46. CTP Temporary Limitations (Updt) VMs provided 1 Core 1.9GHZ 2 GB memory 160 GB local storage (non-persistent) 2 role instances 8 VMs in simultaneous use per account 2 role instances x 2 roles x 2 tenants (staging and production). This will not be a limitation of the final release.
  • 47. CTP Temporary Limitations (Repl) 50 GB of storage across all Authorities 1000 Containers per Authority 1 GB of Blob Entities per Container 100 MB of Flexible Entities per Container Each Blob Entity will be capped at 100mb
  • 48.
  • 49. Sounds great! What should I do next? Download the Visual Studio tools & SDK Develop and test locally Start experimenting now Get access to the real Cloud Sign up for an account Deploy your application to the cloud Test it out Give us feedback! Help us “shape the cloud” 

Notas del editor

  1. From Directions on Microsoft: Chicago class. Named for the facility under way in Northlake, a suburb of Chicago, this type of data center is optimized for massive scale. Instead of using racks of servers, this facility is designed to accept shipping containers, each filled with approximately 2,500 servers, designed to a Microsoft specification and known internally as &quot;Cblox.&quot; (For a photo of the interior of such a container, see &quot;Inside a Data Center Container&quot;.) The building is designed like a parking garage, with spaces for semitrailers carrying containers. A single connector on the outside of the shipping container links its computers to a &quot;spine&quot; that contains connections for power, network, and cooling. This allows a Chicago-class facility to have hundreds of thousands of servers, with one employee on site for approximately every 30,000 servers. When a certain percentage of the servers in a particular container are offline or obsolete, Microsoft will decommission the entire container of 2,500 servers—a process that could take months in a Quincy-class facility will take approximately one hour in a Chicago-class facility. This ease of replacement will also allow Microsoft to improve energy efficiency over time, as new container designs will include more servers and more efficient cooling systems.