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Windows Azure
  Overview



                           Radu Vunvulea
                    vunvulear@gmail.com
        http://vunvulearadu.blogspot.com
Who am I?
        {
            “name” : “Radu Vunvulea,
            “company” : “iQuest”,
            “userType” : “enthusiastic”
            “technologies” : [ “.NET”, “JS”, “Azure”, “Web”,
                “Mobile”, “SL” ],
            “w8experience” : [ “2 LoB App”, “1 Travel App”],
            “blog” : “vunvulearadu.blogspot.com”,
            “email” : ”vunvulear@gmail.com”,
            “socialMedia” :
                {
                         “twitter” : “@RaduVunvulea”,
                         “fb” : “radu.vunvulea”
                }
        }
What are your expectations?
• Recap about all features of Windows Azure
• Why? Starting point for our next discussions
Agenda
• Recap about all features of Windows Azure
• Why? Starting point for our next discussions
Table Storage Service
• Store any kind of serializable data
• You don’t need any kind of complex data structure or
  SQL knowledge.
• Is not a relational database
• In the same table you can have more than one type of
  entity
• Each entity from can have maximum 252 properties + 3
  default
• The maximum size of total tables cannot accede 100.000
  GB (100TB)
• The maximum size of an entity can be 1MB
Table Storage Service
• aaaaaaa
Windows Azure Blob Storage
• It is used when we need to store large amount of data
  (0011100110)
• We can store: images, videos, backup data… any kind of
  data
• Maximum size 100TB
• ETag – unique version of each blob. Is updated when
  content is written to the blob
• The maxim size of a blob in emulator is 2 GB
Windows Azure Blob Storage
• Block blobs
   • Support multi-upload of blocks in parallel
   • When updating a block, the old version is not
     override until you commit it
   • Can be used for large files

• Page blobs
   • Collection of pages of 512b
   • Can be accessed by an offset
   • Can be used when the content is changing very often

• We cannot change a block blob to a page blob or a page
  blob to a block blob
SQL Database
• Relational database based on SQL Server
• It is almost like SQL Server from on-premises
• BUT:
   • We don’t have support for distributed transactions
   • Each table have to contain at least one cluster index
   • We cannot attaché a database
   • We don’t have support for jobs

• Maximum size is 150 GB
• Double check the total cost of a having a SQL Database –
  there are a lot of times when we can use Table Storage
  Service
Queue Storage Service
• It is very similar with a named queue from Windows
• You can update the message from a queue
• Support batches (maximum 32 messages on each call)
• Operations: peek, insert, deleting, getting
• Remark: getting a message don’t remove the message
  from queue
• With some work you can even iterate in a queue
• 500- is the maximum number of messages that can be
  processed per second
• Message is persisted until someone will consume it
Service Bus Queue
•   Similar to Queue Storage Service
•   The order of the message is guaranteed
•   Death Letter support
•   Automatically counter for “number of retries”
•   Duplicate messaging detection
•   Support for transaction, sessions
•   Are not as fast as Windows Azure Queues
•   The size of a Service Bus Queue is limited to 5 GB
•   Support for ACS (Access Control Service)
•   Any kind of serializable item can be added to the queue
• We can even add stream to a message queue (array of bytes )
Service Bus Topic
• Multi-distribution mechanism for messages
• Using Service Bus Queues we have 1 to 1 communication
• Using Service Bus Topic we have 1 to n communication
• Each “listener” will receive each message from topic
• Sessions, transaction, death letters are supported
• Two ways for “listeners”
   • Receive and delete
   • Peek and lock
• The message type is the same with Service Bus Queue –
   • BrokeredMessage
• Each message can contains 0 to n properties
• We cannot update or add again the same message
Service Bus Topic
• Subscribers – each “listener” of a topic
• Service Bus will send the same message to all subscribers
• Each subscriber can be used by more than one instance, BUT only
  one will receive a unique message

• One each subscription we can define custom filters based, that can
  filter message based on the message properties
• We can define what kind of message to be accepted by each
  subscription

• Each subscription can has an action – an action can make CRUD
  operation over the message property
       Example: We can calculate the sum of two properties
Service Bus Relay
• Represent a communication bridge between cloud and on-
  premises world
• It is used with success when working with hybrid
  application
• Expose WCF services from on-premise servers using
  cloud
• Only one entry point
• Request are persisted even if the on-premise server is
  down
• We can control who access our services
• The only thing that need to be changed is on the
  configuration file of the server and client
• We can only have request of type Fire And Forget
Windows Azure Caching
• Nice feature: you pay only the machine computation
• All the content is in the machine memory
• 2 types of caching:
   • Dedicated roles
   • Co-located roles (shared memory between application and
       cache)
• Cache cluster support (only in combination with a storage account)
• Maximum size of a cache is 14 GB (limited by the memory size of
  VM role)
• Each item can has an expiration date
• Build in support for storing web session in the cache
Caching Service
• Offer build in caching mechanism
• Can be accessed by anybody from anywhere
  based on the namespace
• Maximum size is 4 GB
• Is more expensive than Windows Azure Caching
  but can be accessed from any location
• This caching mechanism is offered as a service
• It is similar with Caching Server from on-premise
  servers
Azure Access Control Service (ACS)
• Provide us a mechanism to authenticate users from
  different identify providers: FB, Google, Y!, Live … even
  custom identify providers and Active Directory (2.0+)
• Is based on a claim based authentication – tokens are
  trusting between different services are the based of the
  claim based auth.
• You never work with user credentials
• Depending on the provider, you can access different
  information about user
• You don’t need anymore to implement a user
  management mechanism
   • BUT, if you need, you will need to define roles and
      store user id’s
Shared Access Signature
• Provide a method to offer access to different resources
  from storage account
• You can provide access to resources without requiring a
  user to authenticate
• It is a simple way to control and manage who have
  access to your storage
• The base of this mechanism is a custom token
• You can add, remove and change a SAS at runtime
• Each policy is defined by a unique id
• The validity of a SAS can be limited (time base)
Shared Access Signature
• Blobs
   •   Read
   •   Write
   •   List (containers)
   •   Delete
• Queues
   •   Read
   •   Push
   •   Pop
   •   Update
• Tables
   •   Read
   •   Update
   •   Insert
   •   Delete
Media Services
• The based action that can be done is: content streaming
• Ingest – first step when content is uploaded (upload and encryption)
• Encoding – Process the media content (change the
  encoding, converting and transform) – we can use only supported
  formats
• Protect – encryption of live streaming using a build-in mechanism
• Streaming – send content to consumers (even Apple HTTP Live
  Streaming is supported)
• Support for CDN (Azure and 3th party CDN’s are supported).
• Supported devices: Android, iOS, ,Mac, Windows Phone, Windows
  8, X-box, embedded devices, dedicated devices
Windows Azure Websites
• Can be used to develop web-application
• Support different technologies (PHP, node.js, .NET)
• MySQL support 
• Low cost support – shared mode
• Reserved mode – dedicated instance
• Git support and a very fast rollback mechanism
• Web.config – don’t need to contain anything Azure
  specific
• Each site run in an isolated environment
Web Roles
• Used to host application composed from multiple tiers
• Each web-role is scalable independently
• In comparison with Azure Websites, a lot of custom
  configuration can be done
• Network isolation
• Support for startup tasks
   • For example we can run a bat that make a custom
      configuration to our firewall or install specific
      applications
• Any kind of framework can be used in this machines
Worker role
• Perfect place to run long running task
• Can be used with success with web-roles for tasks that run in
  background
• Cannot be used to host a web application
• In the moment when the “WHEN(TRUE)” ends the worker role
  process stop
• Can be seen as a process that can execute a specific type for an
  infinite period of time
Virtual Machine
• Can be used to install any kind of operating system from Windows
  to Linux
• Build in support and images available for different versions of Linux
   and Windows.
• Custom machines can be created with our own VHD
• Build in support for MongoDB, MySQL, Cassandra, certificates
• Migration from on-premise to cloud and cloud to on-premise can
  be done using VHD
Windows Azure Mobile Services
• This is the topic for the next meetings
THE END




                        Radu Vunvulea
                 vunvulear@gmail.com
     http://vunvulearadu.blogspot.com

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Mobile services on windows azure (part1)

  • 1. Windows Azure Overview Radu Vunvulea vunvulear@gmail.com http://vunvulearadu.blogspot.com
  • 2. Who am I? { “name” : “Radu Vunvulea, “company” : “iQuest”, “userType” : “enthusiastic” “technologies” : [ “.NET”, “JS”, “Azure”, “Web”, “Mobile”, “SL” ], “w8experience” : [ “2 LoB App”, “1 Travel App”], “blog” : “vunvulearadu.blogspot.com”, “email” : ”vunvulear@gmail.com”, “socialMedia” : { “twitter” : “@RaduVunvulea”, “fb” : “radu.vunvulea” } }
  • 3. What are your expectations? • Recap about all features of Windows Azure • Why? Starting point for our next discussions
  • 4. Agenda • Recap about all features of Windows Azure • Why? Starting point for our next discussions
  • 5. Table Storage Service • Store any kind of serializable data • You don’t need any kind of complex data structure or SQL knowledge. • Is not a relational database • In the same table you can have more than one type of entity • Each entity from can have maximum 252 properties + 3 default • The maximum size of total tables cannot accede 100.000 GB (100TB) • The maximum size of an entity can be 1MB
  • 7. Windows Azure Blob Storage • It is used when we need to store large amount of data (0011100110) • We can store: images, videos, backup data… any kind of data • Maximum size 100TB • ETag – unique version of each blob. Is updated when content is written to the blob • The maxim size of a blob in emulator is 2 GB
  • 8. Windows Azure Blob Storage • Block blobs • Support multi-upload of blocks in parallel • When updating a block, the old version is not override until you commit it • Can be used for large files • Page blobs • Collection of pages of 512b • Can be accessed by an offset • Can be used when the content is changing very often • We cannot change a block blob to a page blob or a page blob to a block blob
  • 9. SQL Database • Relational database based on SQL Server • It is almost like SQL Server from on-premises • BUT: • We don’t have support for distributed transactions • Each table have to contain at least one cluster index • We cannot attaché a database • We don’t have support for jobs • Maximum size is 150 GB • Double check the total cost of a having a SQL Database – there are a lot of times when we can use Table Storage Service
  • 10. Queue Storage Service • It is very similar with a named queue from Windows • You can update the message from a queue • Support batches (maximum 32 messages on each call) • Operations: peek, insert, deleting, getting • Remark: getting a message don’t remove the message from queue • With some work you can even iterate in a queue • 500- is the maximum number of messages that can be processed per second • Message is persisted until someone will consume it
  • 11. Service Bus Queue • Similar to Queue Storage Service • The order of the message is guaranteed • Death Letter support • Automatically counter for “number of retries” • Duplicate messaging detection • Support for transaction, sessions • Are not as fast as Windows Azure Queues • The size of a Service Bus Queue is limited to 5 GB • Support for ACS (Access Control Service) • Any kind of serializable item can be added to the queue • We can even add stream to a message queue (array of bytes )
  • 12. Service Bus Topic • Multi-distribution mechanism for messages • Using Service Bus Queues we have 1 to 1 communication • Using Service Bus Topic we have 1 to n communication • Each “listener” will receive each message from topic • Sessions, transaction, death letters are supported • Two ways for “listeners” • Receive and delete • Peek and lock • The message type is the same with Service Bus Queue – • BrokeredMessage • Each message can contains 0 to n properties • We cannot update or add again the same message
  • 13. Service Bus Topic • Subscribers – each “listener” of a topic • Service Bus will send the same message to all subscribers • Each subscriber can be used by more than one instance, BUT only one will receive a unique message • One each subscription we can define custom filters based, that can filter message based on the message properties • We can define what kind of message to be accepted by each subscription • Each subscription can has an action – an action can make CRUD operation over the message property Example: We can calculate the sum of two properties
  • 14. Service Bus Relay • Represent a communication bridge between cloud and on- premises world • It is used with success when working with hybrid application • Expose WCF services from on-premise servers using cloud • Only one entry point • Request are persisted even if the on-premise server is down • We can control who access our services • The only thing that need to be changed is on the configuration file of the server and client • We can only have request of type Fire And Forget
  • 15. Windows Azure Caching • Nice feature: you pay only the machine computation • All the content is in the machine memory • 2 types of caching: • Dedicated roles • Co-located roles (shared memory between application and cache) • Cache cluster support (only in combination with a storage account) • Maximum size of a cache is 14 GB (limited by the memory size of VM role) • Each item can has an expiration date • Build in support for storing web session in the cache
  • 16. Caching Service • Offer build in caching mechanism • Can be accessed by anybody from anywhere based on the namespace • Maximum size is 4 GB • Is more expensive than Windows Azure Caching but can be accessed from any location • This caching mechanism is offered as a service • It is similar with Caching Server from on-premise servers
  • 17. Azure Access Control Service (ACS) • Provide us a mechanism to authenticate users from different identify providers: FB, Google, Y!, Live … even custom identify providers and Active Directory (2.0+) • Is based on a claim based authentication – tokens are trusting between different services are the based of the claim based auth. • You never work with user credentials • Depending on the provider, you can access different information about user • You don’t need anymore to implement a user management mechanism • BUT, if you need, you will need to define roles and store user id’s
  • 18. Shared Access Signature • Provide a method to offer access to different resources from storage account • You can provide access to resources without requiring a user to authenticate • It is a simple way to control and manage who have access to your storage • The base of this mechanism is a custom token • You can add, remove and change a SAS at runtime • Each policy is defined by a unique id • The validity of a SAS can be limited (time base)
  • 19. Shared Access Signature • Blobs • Read • Write • List (containers) • Delete • Queues • Read • Push • Pop • Update • Tables • Read • Update • Insert • Delete
  • 20. Media Services • The based action that can be done is: content streaming • Ingest – first step when content is uploaded (upload and encryption) • Encoding – Process the media content (change the encoding, converting and transform) – we can use only supported formats • Protect – encryption of live streaming using a build-in mechanism • Streaming – send content to consumers (even Apple HTTP Live Streaming is supported) • Support for CDN (Azure and 3th party CDN’s are supported). • Supported devices: Android, iOS, ,Mac, Windows Phone, Windows 8, X-box, embedded devices, dedicated devices
  • 21. Windows Azure Websites • Can be used to develop web-application • Support different technologies (PHP, node.js, .NET) • MySQL support  • Low cost support – shared mode • Reserved mode – dedicated instance • Git support and a very fast rollback mechanism • Web.config – don’t need to contain anything Azure specific • Each site run in an isolated environment
  • 22. Web Roles • Used to host application composed from multiple tiers • Each web-role is scalable independently • In comparison with Azure Websites, a lot of custom configuration can be done • Network isolation • Support for startup tasks • For example we can run a bat that make a custom configuration to our firewall or install specific applications • Any kind of framework can be used in this machines
  • 23. Worker role • Perfect place to run long running task • Can be used with success with web-roles for tasks that run in background • Cannot be used to host a web application • In the moment when the “WHEN(TRUE)” ends the worker role process stop • Can be seen as a process that can execute a specific type for an infinite period of time
  • 24. Virtual Machine • Can be used to install any kind of operating system from Windows to Linux • Build in support and images available for different versions of Linux  and Windows. • Custom machines can be created with our own VHD • Build in support for MongoDB, MySQL, Cassandra, certificates • Migration from on-premise to cloud and cloud to on-premise can be done using VHD
  • 25. Windows Azure Mobile Services • This is the topic for the next meetings
  • 26.
  • 27. THE END Radu Vunvulea vunvulear@gmail.com http://vunvulearadu.blogspot.com

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