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Exploring the tools for DevSecOps in a CI/CD Pipeline on Azure | Azure Enablement
Victoria Almazova joins David Blank-Edelman to explore the tools for DevSecOps in a CI/CD Pipeline on Azure. ✅ Resources: WAF Security pillarAzure Well-Architected ReviewSecure DevOpsDevSecOps in AzureSecure DevOps Kit for AzureSecure Azure pipelines[00:00] Overview[01:09] Let's review what we've learned about DevSecOps so far.[01:55] Why are we focusing only on dependency management and security scanning?[03:17] Is there a way we could see a concrete example of implementing security practices?[05:16] Can you show me a real life example of how this implementation works in Azure DevOps? [07:46] Why do you deploy the ZAP Scanner WebApp after you built the application?[08:43] What is the next stage in the [CI/CD] pipeline, once all the scanning is done?[09:52] How will I know whether the tools find a security vulnerability, and how I get notified?[11:11] By "breaking the build," do we mean the pipeline itself stops when it discovers a vulnerability?[11:35] We've covered credentials scan results. Are there other results to mention? 📺 Related Episodes to watch next: DevSecOps: bringing security into your DevOps practice on Azure Improve app security with Application Security GroupsBetter app token security through application roles🔴 Watch more episodes in the Well-Architected Series!
Nested IoT Edge devices and offline dashboards | Internet of Things Show
Azure IoT Edge devices can now be nested to securely collect data across networks organized in hierarchical layers. Industrial customers commonly use layered networks to isolate and secure their most critical assets, as recommended by the ISA-95 standard. With this new IoT Edge capability, customers can quickly overcome the challenges of collecting data from each layer and gain local insights to help reduce unplanned downtime, increase equipment efficiency, and reduce product defects while fully complying with strict industry standards. Learn more at https://aka.ms/iotshow/IoTEdgeForIIot
Run Azure Machine Learning anywhere | AI Show
Leveraging Kubernetes and Azure Arc to train ML Models across hybrid cloud. In this episode Seth talks with Saurya Das about this new Azure Machine Learning integration with Azure Arc – to enable Data Scientists to use existing kubernetes infrastructure on-premises or in multicloud to run machine learning. Jump to:[00:48] What is Machine Learning?[01:28] Run Azure Machine Learning anywhere[02:37] What is Azure Arc?[03:24] Demo: Use on premises Azure Machine Learning clusters using Azure Arc Learn more:Azure Machine Learning Blog - https://aka.ms/AIShow/AzureMLBlogAzure Arc Blog - https://aka.ms/AIShow/AzureArcBlog AI Show https://aka.ms/AIShowCreate a Free account (Azure) https://aka.ms/aishow-seth-azurefreeGet Started with Machine Learning https://aka.ms/AIShow/StartMLAI for Developers https://aka.ms/AIShow/AIforDevelopersAzure Machine Learning https://aka.ms/AIShow/AzureML Follow Seth https://twitter.com/sethjuarezDon't miss new episodes, subscribe to the AI Show https://aka.ms/aishowsubscribe Join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive
XAML Hot Reload Updates | Xamarin Show | The Xamarin Show
This week, James is joined by Dmitry Lyalin and Tim Miller who show off the latest and greatest in XAML Hot Reload technology with the new "changes only" mode that saves the state of your running application! Check it out! Show Links: XAML Hot Reload DocumentationLive Visual Tree DocumentationVisual Studio Release NotesFollow @JamesMontemagnoNever Miss an Episode: Follow @TheXamarinShowUseful Links: Learn more about XamarinLearn more about Xamarin.FormsLearn more about Cross-platform developmentXamarin Developer CenterXamarin BlogMicrosoft Learn Self-Guided TrainingCreate a Free Account (Azure)Xamarin Developers YouTube ChannelXamarin on TwitterGet your questions answered on the Microsoft Q&A for .NET
Get Started with Accessing Azure Data Explorer using Apache Spark for Azure Synapse Analytics | Data Exposed
In this episode of Data Exposed, Manoj Raheja shows us how to seamlessly integrate with Azure Data Explorer from Apache Spark for Azure Synapse Analytics.[01:13] Azure Data Explorer Overview[02:52] Azure Data Explorer connector for Azure Synapse[05:20] Demo[09:20] Getting started Resources:Connect to Azure Data Explorer using Apache Spark for Azure Synapse AnalyticsGitHub (Sample Code)
Azure Landing Zone Q&A | IT Ops Talk
When organisations are embarking on their Cloud Adoption Journey one of the things that they need to establish is a landing zone, or environment where their servers, workloads, resources can live when hosted within Azure. It's almost the equivalent to building out a new physical datacentre, you need things like network subnets, security roles, storage, etc Over the last few months myself and Thomas Maurer have been working on a series of blog posts that explain a bit more about Azure Landing Zones and how you can start to think about them from your companies perspective when embarking on your cloud journey. Choose the landing zone for your cloud adoption journeyAccelerate your cloud adoption with the start small and expand landing zoneScale cloud adoption with modular designs for enterprise-scale landing zonesDeploy key design principles with enterprise-scale architectureLeverage Enterprise Scale Reference Implementations for your Cloud AdoptionWe've had a really good time working through the blog series and trying to answer some of the questions that we often hear around landing zones. As part of the series, we have finished off with a live Q&A that was hosted on the 7th April 2021. If you missed the live session the recording is available, we'd love to hear any questions you have around Azure Landing Zones so please do drop a comment and we'll get back to you. Further resources can be found here: What is an Azure Landing Zone?Microsoft Learn ModuleAzure Enablement Show: Cloud Adoption FrameworkCloud Adoption FrameworkLanding Zones Terraform DeploymentEnterprise Scale References on GitHub Agenda: 0:00:00 Titles0:01:55 Welcome0:02:15 Azure Landing Zones0:03:00 Migrating to the cloud0:03:45 Cloud Adoption Framework Introduction0:06:06 Stages of the Cloud Adoption Framework0:09:01 Azure Landing Zone Design Areas0:10:43 What is a Landing Zone0:12:24 Enterprise Scale Landing Zones0:14:18 Enterprise Scale Design Principles0:16:00 Enterprise Scale Landing Zones i
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