Episode 273 - Application Patterns in Azure

by Sujit D'Mello April 3, 2019

Rasmus Lystrøm, a Senior Microsoft consultant from Denmark, shares his thoughts and ideas around building applications that take advantage of Azure and allow developers to focus on the business problem at hand.

Media file: https://azpodcast.blob.core.windows.net/episodes/Episode273.mp3

Transcript: https://www.videoindexer.ai/accounts/aca83d23-620b-46d6-beec-e920bff88847/videos/53c247e109/

 

Other updates:

Service Map: https://nnmer.github.io/azure-services-map/

Azure SQL Database's read scale-out support in the Premium and Business Critical service tiers is now generally available. 
This capability redirects the read-only client connections to one of the automatically provisioned HA replicas and effectively doubles the compute capacity of the database or elastic pool at no additional charge. This is ideal for load balancing of complex analytical workloads without affecting the primary OLTP workload.
enables you to monitor and detect abnormalities in your time series data with machine learning. The Anomaly Detector API adapts by automatically identifying and applying the best-fitting models to your data, regardless of industry, scenario, or data volume/ Custom vision available


Video Indexer has been enhanced with new features. It now automatically collects manual transcript edits into a new entry in the specific language model you use.  Use it to improve the accuracy of an out-of-the-box language model with manual edits over a period of time so it will align with your industry-specific vocabulary.

Another new feature is the ability to segment videos by semantic scenes based on visual cues. Scenes can now be used to group together a set of insights and refer to them as insights of the same context in order to deduce a more complex meaning from them. They can also be used as a unit and extracted as a clip from a longer video. Video Indexer also now has the ability to identify rolling credits at the end of a movie or TV show, which can be used by broadcasters to identify when to recommend a new program before losing the audience.


Security Center can now protect your VM scale sets.  With Security Center’s advanced threat detection capabilities, you can easily monitor the security posture of your VM scale sets with recommendations to reduce vulnerabilities and increase their overall security.
Security Center automatically discovers your VM scale sets and recommends that you install the monitoring agent to get better security assessments and enable events-based threat detection.

Azure Lab Services updates: GPU size, saving images, and connecting to on-premises resources
https://azure.microsoft.com/en-us/updates/azlabservices-featuresupdates-march2019/

Microsoft Azure portal April 2019 update
https://azure.microsoft.com/en-us/blog/microsoft-azure-portal-april-update/

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