Join Kevin Gallo and guests to learn about the latest RN4W updates and why Xbox decided to use RN4W for their app.

Learn the basics of PyTorch such as what it is, how to build and deploy a model, its strong community and more. Jump To: [01:15] What makes PyTorch different from other frameworks?[02:31] What is PyTorch?[05:35] How does PyTorch deal with data?[10:35] Building a model with PyTorch[22:08] Deploying PyTorch models to production[29:09] PyTorch community and ecosystemLearn More: PyTorch TutorialsStart Local with PyTorchCreate a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show

In this episode of Data Exposed with Tolga Tekin, learn about the ability to deploy Azure Arc Data services via Kubernetes to any hardware platform. [00:55] What is Azure Arc[02:20] Azure data services anywhere at a glance[03:28] On-premises vs Azure[04:02] Azure Arc-enabled data services architecture[06:07] Management capabilities comparison by deployment model[08:22] Customer scenarios with Azure Arc[09:53] Example - managing different infrastructures at different locations[11:51] Getting started Resources:Azure Arc enabled SQL Server (preview)

KEDA is an open source project and enables event-driven autoscaling for Kubernetes workloads.KEDA scalers can detect if a deployment should be activated or deactivated, and feed custom metrics for a specific event source. In this episode, our friend Jeff Hollan joins Cecil to show us how we can use KEDA to scale out our .NET applications running on Kubernetes [01:15] - What is KEDA?[03:38] - KEDA's relationship with Azure Functions[05:53] - Moving KEDA to the CNCF[08:40] - .NET Worker service demo[12:44] - Supported Keda triggers[14:37] - Working with ACI and Virtual Kubelets[17:09] - Does KEDA work alongside other Kubernetes projects?[18:45] - Getting started with KEDA Useful Links KEDAKEDA on GitHubCreate a function on Linux using a custom container.NET Sample with Service Bus

With so many CI and CD tools in the wild, how do you know which one to use? Well, why choose just 1? In this episode, we're going to discuss how to interact with GitHub Actions and Octopus Deploy together. We'll see how to use the Octopus Deploy CLI to create a resource in Octopus and have it deployed by GitHub Actions. Jump To: [02:21] Talking about the idea of "not needing only one tool"[03:22] Demo started[04:20] Octopus Deploy dashboard to show projects[09:25] Adding in GitHub Action secrets for authentication[13:27] Seeing the GitHub Actions workflow runLearn More: Octopus CLIGithub Actions Hello WorldAzure DevOps DocsGitHub ActionsAzure DevOps YouTubeCreate a Free Azure DevOps Account

Beau Hayes-Pollard, Junior at Brookline High School, joins us on the IoT Show to talk about his Bit Heroes project: a remote heart rate monitoring system using Arduino, Azure IoT Hub, Azure Functions and more. Check out Beau's projects on GitHub: https://aka.ms/iotshow/beau

Obrigado por assistir o curso, esperamos que tenha gostado do conteúdo. Dê seu feedback para que possamos fazer contribuições cada vez melhores! - https://github.com/Azure-Samples/aks-bootcamp-sample/- https://helm.sh- https://aka.ms/k8s-bootcamp/azure-cli- http://aka.ms/k8s-bootcamp/azure-account- https://tudosobrekubernetes.tech- https://aka.ms/k8s-bootcamp/aks-docs- https://aka.ms/k8s-bootcamp/http-app-routing-docs- https://aka.ms/k8s-bootcamp/ingress-controller- https://aka.ms/k8s-bootcamp/ingress-tls- https://hub.docker.com- https://aka.ms/k8s-bootcamp/k8s-docs

Já passamos pela escalabilidade da nossa aplicação, agora vamos ver como podemos mitigar o problema de nodes que não suportam todas as nossas imagens - https://aka.ms/k8s-bootcamp/cluster-autoscaler

Além da CPU, podemos escalar com mais métricas como, por exemplo, memória! Vamos criar um HPA v2 para que possamos aplicar essas alterações - https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#autoscaling-on-multiple-metrics-and-custom-metrics

Vamos declarar os nossos HPAs para que possamos versiona-los e utilizá-los em nossos charts