GABC2019: Azure 1010 by Laurent Bugnion

"There is no cloud, it's just someone else's computer…" That is true. But when this someone else is Microsoft, and takes care of all the maintenance of these huge server farms, you can redirect these resources used to take care of your own infrastructure to other important tasks, such as adding features for your users. However at first sight, Microsoft Azure and its huge offering can seem daunting for a new user. In this presentation, Laurent Bugnion, who until recently didn't know much about the cloud, will show you how he got started and how you too can take advantage of the services that the Microsoft Cloud has to offer. Together we will discover the Azure Portal as well as quite a few tools that make your life as a cloud developer easier.

Transcript

1. Laurent Bugnion Senior Cloud Dev Advocate Microsoft Level: Introduction AZURE 101
2. https://developer.microsoft.com/advocates Twitter List http://bit.ly/azdevlist Hashtags #azdev #azureavengers Account: @azureadvocates
3. 54 Azure regions in countries 140
6. Operating systems Templates Images I a a S
10. Web Apps Mobile Apps Logic Apps API Apps Linux and Windows .NET, Java, Node.js, PHP, Python Auto patching Auto scale Integration with existing apps Continuous deployment Build and scale cloud apps P a a S
13. Blobs Object storage access via REST Streaming & random object access scenarios Lift & shift scenarios Files File storage access via SMB, REST Disks IaaS VM VHD/ disks access via REST Persistent disks for VMs Tables NOSQL storage access via REST Key / Value Store Queues Reliable messaging access via REST Scheduling async tasks
17. “Lift and shift” Big data, Analytics, Machine Learning
19. MongoDB SQL Table storage Gremlin Graph Spark Cassandra
22. Scales on demand Very cheap to run No infrastructure headaches
25. Jupyter notebook integration Broad ecosystem support • Spark • TensorFlow • Cognitive Toolkit • Caffe2 • Keras • Theano Agile AI model development + rapid experimentation
26. Flexible AI model deployment Docker Azure, AWS, GCP On Premises Edge Devices Azure Machine Learning
27. Language Speech Vision Search Knowledge
28. March 6th, 1:30PM
31. SignalR
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