CTT Big4 News Azure Recently #MS009

CTT Big4 News Azure Recently #MS009

Hello Friends, welcome to CTT News – Big4 Recently

AWS, IBM, Google & Azure – the Big4 Cloud Service providers are improving and introducing very frequently and it is hard to keep up to date ourselves without single source of information. Hence, in this series, we intend to address most important recent news of Big4 Cloud Platforms. You may save your valuable time by not searching recent updates of these cloud platforms from different individual websites. We hope, you will find this series interesting. Please visit specific Cloud provider news that you are interested in as following.

In this article, we will explore latest Azure Recently. So, lets jump on the updates.

June 2018 version updates to PHP

In June 2018, Azure App Service will update the PHP stacks to the latest available versions. For information on the changes in the new versions, please see the change logs on the PHP website.

PHP VERSION CHANGE LOG
5.6.36 http://www.php.net/ChangeLog-5.php#5.6.36
7.0.30 http://www.php.net/ChangeLog-7.php#7.0.30
7.1.17 http://www.php.net/ChangeLog-7.php#7.1.17
7.2.5 http://www.php.net/ChangeLog-7.php#7.2.5

GUID Migration: E64i VM series

E64i virtual machines (VMs) are isolated to hardware and dedicated to a single customer. Effective end of May 2018, resource GUIDs will be updated for the E64i VM series. There won’t be a pricing impact from this change, but you will need to modify billing routines that rely on names or resource GUID.

Blob output partitioning by custom attribute in Azure Stream Analytics

It’s now possible to partition your Azure Stream Analytics output to Azure Blob storage based on any column in the query. The partition key can be a column from the input stream, or it can be a field in the query itself.

Updated built-in machine learning models for anomaly detection in Stream Analytics

Azure Stream Analytics now includes machine learning model support for spike and dip detection. This update adds to the available detection of bi-directional, slow positive, and slow negative trends.

C# custom code support for Stream Analytics jobs on IoT Edge

Azure Stream Analytics jobs on Azure IoT Edge now support C# custom code. 

Alongside Visual Studio support for query authoring and ease of deployment provided by IoT Edge, C# custom code for Stream Analytics on IoT Edge will enable users to author rich streaming pipelines. It will also enable users to leverage existing code and libraries, or develop new logic that will run directly in the streaming engine.

Session windows in Azure Stream Analytics

A session window is a new feature that’s available in Azure Stream Analytics. It creates dynamic temporal windows of variable sizes based on batches of incoming data. It therefore enables users to filter out periods of time where there is no data.

With three main parameters—timeout, maximum duration, and partitioning key (optional)—a session window helps developers easily build solutions for scenarios such as clickstream analytics, connected car telemetry, and many more.

 

 

Author: Debashree

A Technical writer and passionate about digital life. Always eager to learn and share knowledge.

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