Escalar manualmente não é uma forma eficiente de manter nossas aplicações no ar, que tal tentarmos uma auto-escalabilidade através de um comando interativo?

O Kubernetes possui alguns comandos que permitem que escalemos uma aplicação manualmente, vamos ver quais são

Neste vídeo, iniciamos o curso com a introdução ao mesmo e também ao instrutor, mostrando um pouco do que está por vir - Blog: https://blog.lsantos.dev- Twitter: @_staticvoid- GitHub: @khaosdoctor

Dipti Pai joins Scott Hanselman to show how to run containerized and VM workloads to get quick, actionable insights at the edge—where data is created—using purpose-built hardware-as-a-service with Azure Stack Edge. [0:00:00]– Overview[0:00:55]– What is Azure Stack Edge?[0:04:09]– Azure Stack Edge in the house[0:06:18]– Azure Stack Edge in the Azure portal [0:09:23]– Demo[0:16:36]– Microsoft Hardware Experience app[0:18:38]– Wrap-up Azure Stack EdgeWhat is Azure Stack Edge Pro with GPU?Microsoft Hardware Experience app (iOS)Microsoft Hardware Experience app (Android)Create a free account (Azure)

ONNX Runtime is a high-performance inferencing and training engine for machine learning models. This show focuses on ONNX Runtime for model inference. ONNX Runtime has been widely adopted by a variety of Microsoft products including Bing, Office 365 and Azure Cognitive Services, achieving an average of 2.9x inference speedup. Now we are glad to introduce ONNX Runtime quantization and ONNX Runtime mobile for further accelerating model inference with even smaller model size and runtime size. ONNX Runtime keeps evolving not only for cloud-based inference but also for on-device inference. Jump To: [01:02] ONNX and ONNX Runtime overview[02:26] model operationalization with ONNX Runtime[04:04] ONNX Runtime adoption[05:07] ONNX Runtime INT8 quantization for model size reduction and inference speedup[09:46] Demo of ONNX Runtime INT8 quantization[16:00] ONNX Runtime mobile for runtime size reductionLearn More: ONNX RuntimeFaster and smaller quantized NLP with Hugging Face and ONNX RuntimeONNX Runtime for Mobile PlatformsONNX Runtime Inference on Azure Machine Learning Create a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show

The awesome Tricia Sinclair joins dona and Sarah in this episode where she talks about all things Omni-Channel and working with Dynamics 365 in the Power Platform and why this is awesome for customers AND customer service agents. Tricia also is a massive advocate of governance in Azure DevOps and an active community member where she leads notable initiatives including Power Platform Hackathons for #BlackMindsMatter and the leader of the Power Platform School. Learn more about Tricia on her LinkedIn profile here: https://www.linkedin.com/in/triciasinclair/ Check out the Power Platform School here: https://twitter.com/hashtag/powerplatformschool?src=hashtag_click

Agora que já sabemos o que é uma imagem e como funcionam containers e o que é o Docker, vamos criar a nossa própria imagem Docker de forma interativa, diretamente de dentro de um container - http://aka.ms/aks-bootcamp/docker-install- https://aka.ms/aks-bootcamp/azure-cr- https://hub.docker.com- http://aka.ms/aks-bootcamp/docker-images- http://aka.ms/aks-bootcamp/docker-images-2

Does your app make database queries? Want to improve its performance? Profiler PM Esteban Herrera shows how to use the Database tool to collect and analyze information about individual queries. Learn more about profiling in Visual Studio at https://aka.ms/vsprofilingdocs. Learn more about the Database tool here.

In this episode with Drew Skwiers-Koballa, you will be introduced to a new experience for database development with the SQL Database Projects extension for Azure Data Studio. Whether you are familiar with SQL Server Data Tools (SSDT) or new to SQL projects, you can start editing and building SQL projects in Azure Data Studio on Windows, macOS, and Linux. [00:00] Introduction[01:22] SQL Database Projects[02:02] Azure Data Studio Notebook Concepts[03:35] SQL Database Projects extension for Azure Data Studio Demo[08:54] Getting started tipsResources:SQL Database Projects extension (Preview)Download and install Azure Data Studio

Progressive Web Applications (PWA) use modern browser APIs and capabilities to behave like a desktop app. Since Blazor WebAssembly is a standards-based client-side web app platform, developers have the ability to leverage these browser APIs and create PWAs using .NET. In this episode, Jeremy is joined by Dan Roth to discuss the built in support for building PWAs with Blazor and show us a few demos of how get started. [01:44] - What are Progressive Web Apps?[02:48] - Getting prepared to make your app installable[05:05] - (Demo) Creating a PWA with Blazor[07:38] - Exploring the manifest and service worker[09:30] - Supporting office scenarios[14:00] - Synchronizing offline updates[19:22] - Push notifications with PWAs[24:46] - (Demo) Setting up notifications in code Useful Links Get started with BlazorBuild Progressive Web Applications with ASP.NET Core Blazor WebAssemblyCall JavaScript functions from .NET methods in ASP.NET Core Blazor