See just how easy it is to deploy a service mesh to your AKS cluster. William Morgan, maintainer of the open source service mesh Linkerd, joins Scott Hanselman to demonstrate just how easy it is to deploy Linkerd. Together they explore how to debug a live microservices application using the service mesh, without changing any code.
The PASS Data Science Virtual Group had a great session on the DP-100 exam (Designing and Implementing a Data Science Solution on Azure).
Until this month, the exam had been in beta: however, the presenter has just passed the exam (first try). The purpose of this event is to share a viewpoint on how to study for the exam. Today, there are multiple ways to develop and deliver and deploy R or Python or Spark or deep learning models on Azure. The differences are important for this exam.
In this video, learn how to apply AI to understand your business documents by deploying a cognitive search solution on your data, including customer testimonies and demos.
Cognitive search allows you to apply AI (Cognitive Skills) to your data to extract entities and relationships from your unstructured documents, turning them into your private knowledge store. The video also introduces the new Knowledge Store that is now part of Cognitive Search, and explore new features and capabilities (complex type, storage-optimized SKU, etc.).
Texas Instruments recently announced a new SimpleLink™ Wi-Fi, dual-band single-chip wireless MCU as a part of TI’s SimpleLink microcontroller platform of wired and wireless Arm® MCUs.
TI is extending support for Azure IoT development through the SimpleLink SDK and SDK Plugin for Azure IoT and LaunchPad™ development kits. Adrian Fernandez, of Texas Instruments, will discuss the SimpleLink MCU platform and the software that is designed for simplified development within the CCS or IAR Embedded Workbench IDE using industry standard APIs, TI drivers, and TI RTOS or FreeRTOS to provide a robust foundation for application development. He’ll also show to use the LaunchPad development kit and SimpleLink SDK software to connect to Azure IoT using the a certified port of the Azure C SDK via the SimpleLink SDK Plugin for Azure IoT.
Get your hands on a Launchpad dev kit: http://www.ti.com/product/CC3235SF/toolssoftware
Try Azure IoT for free today: https://aka.ms/aft-iot
Azure IoT Edge now features support for running natively on the Kubernetes orchestrator. This video goes into how the integration works and caps off with a demo showing what the experience is like for deploying a workload on an on-premise Kubernetes cluster. Give this a spin yourself on your own Kubernetes cluster (or create one using Azure Kubernetes Service) using the Kubernetes on Edge How-to guide. Azure Kubernetes
Mark Russinovich, Azure CTO, shows how Microsoft Azure enables intelligent, modern and innovative applications at scale in the cloud, on-premises and on the edge.
Mark takes you on a tour of Azure’s datacenter architecture and implementation innovations, describing everything from Azure’s global infrastructure, to how we enable large-scale enterprise scenarios on both cloud and edge, to how we bring quantum computing to real-world scenarios today, and more.
Here’s a great session from Build 2019 about migrating your applications data and infrastructure to Azure.
Python is a powerful stack running many websites that you know and love, but it can be difficult to get your development environment running smoothly, especially when using technologies like Docker.
In this session from Build 2019, learn how to set up the ultimate containerized Python development environment in Visual Studio Code, deploy your application to Azure with a few clicks, and use Azure DevOps to automate your deployments.
In this video, learn about the recently announced IoT Plug and Play, which is based on an open modeling language that allows IoT devices to declare their capabilities. That declaration, which is called a Device Capability Model, is then presented when IoT devices connect to cloud solutions like Azure IoT Central and Partner Solutions which can then automatically understand the device and start interacting with it– all without writing any code.
Here’s part one of a series of blog posts that will explore the machine learning options available in Azure.
In this post series, I am going to show how we can use Azure Machine learning services and the new features added that make life so easy to train, deploy, automate managing machine learning models . In this post, first I will show how to use a no code environment for Auto ML, how to access it and some difference between Azure mL Studio and services.