Month: December 2014

Announcing General Availability of Mobile Offline Sync Managed SDK!!!!!!!!!!!

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When writing modern mobile apps, developers have to consider the reality that end users may not always have network access. Azure Mobile Services allows you to easily provide a native sync experience across your iOS, Android, and Windows apps.

Offline sync has a number of benefits:
Improve app responsiveness by caching server data locally on the device
Create robust apps that remain useful when there are network issues
Allow end-users to create and modify data even when there is no network access, supporting scenarios with little or no connectivity
Sync data across multiple devices and detect conflicts when the same record is modified by two devices
Limit network use for customers who don’t have an unlimited data plan

To read more about this click here:
http://azure.microsoft.com/blog/2014/12/18/announcing-general-availability-of-mobile-offline-sync/

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Azure Storage Service Interruption!!!!!!!!!!!

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Microsoft Azure customers experienced a service interruption that impacted Azure Storage and several other services, including Virtual Machines.Both software and configuration deployments require multiple stages of validation and are incrementally deployed to the Azure infrastructure in small batches.
On November 18th [PST] (November 19th [UTC]) Microsoft Azure experienced a service interruption that resulted in intermittent connectivity issues with the Azure Storage service in multiple regions. Dependent services, primarily Azure Virtual Machines, also experienced secondary impact due to the connectivity loss with the Azure Storage service.
To read more about this click here:
http://azure.microsoft.com/blog/2014/12/17/final-root-cause-analysis-and-improvement-areas-nov-18-azure-storage-service-interruption/

 

Integration with Azure Machine Learning!!!!!!!

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Azure Data Factory released a powerful enhancement enabling integration with Azure Machine Learning.The seamless integration enables batch prediction scenarios such as identifying possible loan defaults, determining sentiment, and analyzing customer behavior patterns.Azure Data Factory allows you to easily operationalize your finished Machine Learning models without writing any Custom Code.Using the simple steps described above, customers publishing Azure Machine Learning models can now easily and quickly operationalize them within their data flow pipelines using Azure Data Factory.
To read more about this click here:
http://azure.microsoft.com/blog/2014/12/16/azure-data-factory-updates-integration-with-azure-machine-learning-2/

Building Cross-Platform Apps with Xamarin and Azure Mobile Services!!!!!!!!!!

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Xamarin and Mobile Services are a great fit—Xamarin makes it easy to build cross-platform apps with a native experience, and Azure Mobile Services offers a variety of app services, such as push notifications, authentication, and offline data sync. The app gives 3M salespeople real-time insight that improves customer relationships and allows business expansion. The 3M development team chose Azure Mobile Services for a secure, scalable platform that would easily integrate and store data from 3M equipment and other sources
To read more about this click here:
http://azure.microsoft.com/blog/2014/10/09/building-cross-platform-apps-with-xamarin-and-azure-mobile-services/

New Premium Storage-Backed Virtual Machines!!!!!!!!!!!

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Azure Premium Storage is a new type of SSD-based storage, designed to support I/O intensive workloads. With Premium Storage, you can provision a persistent disk and configure the size and performance characteristics that will meet your requirements.
These sizes are equivalent to the D-series Virtual Machine sizes in memory, processor, and pricing. The one difference that sets the DS-Series apart from the D-series is how the local SSD space is used. The D-series VMs provide 50GB – 800GB of local SSD space to be used as temporary storage. The DS-Series VMs will use 25% of the local SSD to provide temporary storage for the Virtual Machine. The remaining 75% of the local SSD available for the VM will be used to provide an efficient data cache for persistent disks using premium storage.
To read more about this click here:

http://azure.microsoft.com/blog/2014/12/11/new-premium-storage-backed-virtual-machines/

Introducing Premium Storage: High-Performance Storage for Azure Virtual Machine Workloads

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Premium Storage is specifically designed for Azure Virtual Machine workloads requiring consistent high performance and low latency. This makes them highly suitable for I/O-sensitive SQL Server workloads. Premium Storage is currently available only for storing data on disks used by Azure Virtual Machines.With Premium Storage, Azure offers the ability to truly lift-and-shift your demanding enterprise applications – like SQL Server, Dynamics AX, Dynamics CRM, Exchange Server, MySQL, and SAP Business Suite – to the cloud.

Durability of data is of utmost importance for persistent storage. Azure customers have critical applications that depend on the persistence of their data and high tolerance against failures. That is why, for Premium Storage, we implemented the same level of high durability using our Locally Redundant Storage technology. Premium Storage keeps three replicas of data within the same region.

To read more about this click here:

http://azure.microsoft.com/blog/2014/12/11/introducing-premium-storage-high-performance-storage-for-azure-virtual-machine-workloads/

Azure HDInsight Introduces Built-in Integration with Azure Websites to do Web Log Analytics!!!!!!!!!

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all customers who deploy their websites and web apps using Azure Websites generate web logs that track all HTTP transactions and detailed error logging. These logs are stored in Azure Blobs as non-relational files that are semi-structured. Traditionally, semi-structured files are harder to analyze unless they are extracted and transformed into a relational table/database.
Enter Hadoop which was built for these specific use cases like the ability to analyze large volumes of non-relational files. As it relates to web logs, Hadoop can help you understand site metrics like overall web traffic, the length of time someone stays on the site, the effectiveness of certain pages or campaigns, etc.

To read more about this click here:

http://azure.microsoft.com/blog/2014/12/09/azure-hdinsight-introduces-built-in-integration-with-azure-websites-to-do-web-log-analytics/