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Mobile services on windows azure (part1)
 

Mobile services on windows azure (part1)

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Mobile services on windows azure (part1) Mobile services on windows azure (part1) Presentation Transcript

  • 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