Erich Robinson-Tillenburg joins Scott Hanselman to demo and explain health monitoring and configuration analysis for Azure Load Balancer using Azure Monitor for Networks, a central hub that provides access to health and connectivity monitoring for all your network resources.     

Index:

  • [0:00:00]– Overview
  • [0:01:16]– Load Balancer insights
  • [0:04:00]– Visualize functional dependencies
  • [0:06:20]– Exploring the Metrics dashboard
  • [0:10:58]– Flow Distribution Help
  • [0:11:57]– Network Connectivity Monitoring
  • [0:13:18]– Azure Monitor for Networks hub
  • [0:14:12]– Wrap-up

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While terrestrial tourism has been hit hard due to the pandemic, entrepreneurs and visionaries have their eyes cast spaceward. 

Space tourism has been, almost, nonexistent in the past, but Virgin Galactic, SpaceX and Blue Origin are looking to change that.

However, accessibility to space tourism remains limited to the richest of the rich, with ticket prices ranging from hundreds of thousands of dollars to millions.

Development of these space tourism programs is costing these companies billions and each has a different reason for pursuing this, as of yet, unproven market.

There has been a large increase in interest in generative AI models of late.

Here’s a great introductory article (complete with code) on GAN’s in TensorFlow.

hese are models that can learn to create data that is similar to data that we give them. The intuition behind this is that if we can get a model to write high-quality news articles for example, then it must have also learned a lot about news articles in general. Or in other words, the model should also have a good internal representation of news articles. We can then hopefully use this representation to help us with other related tasks, such as classifying news articles by topic. Actually training models to create data like this is not easy, but in recent years a number of methods have started to work quite well. One such promising approach is using Generative Adversarial Networks (GANs). The prominent deep learning researcher and director of AI research at Facebook, Yann LeCun, recently cited GANs as being one of the most important new developments in deep learning:

You can now connect existing sensors to Azure with little to no-code using IoT Plug and Play bridge!

For developers who are building IoT solutions with existing hardware attached to a Linux or Windows gateway, the IoT Plug and Play bridge provides you an easy way to connect these devices to IoT Plug and Play compatible services.

Check out the GitHub repo for IoT Plug and Play bridge at https://aka.ms/IoTPlugAndPlayBridge