Building on the full range of existing Azure services, Azure Sentinel natively incorporates proven foundations, like Log Analytics, and Logic Apps. Azure Sentinel enriches your investigation and detection with AI, and provides Microsoft’s threat intelligence stream and enables you to bring your own threat intelligence.
Microsoft Azure Sentinel is a scalable, cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution. Azure Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response. Read more about Azure Sentinel Preview here
Watch live as technology leaders from across industries share the latest breakthroughs and trends, and explore innovative ways to create solutions. After the keynotes, select Microsoft Build sessions will stream live—dive deep into what’s new and what’s next for developer tools and tech.
Discover and experience new ways to build, modernize, and migrate your applications. Get hands-on experiences with tools like Azure Kubernetes Service (AKS) that can help you dynamically scale your application infrastructure.
Quickly and easily build, train, and deploy your machine learning models using Azure Machine Learning, Azure Databricks, and ONNX. Uncover insights from all your content—documents, images, and media—with Azure Search and Cognitive Services.
Join Microsoft for hands-on learning to discover how tools like Visual Studio live share can help you collaborate with your peers instantly.
Come learn how to build an end-to-end continuous delivery pipeline that is fast and secure with Azure DevOps technologies. Spend less time maintaining your toolset and more time focusing on customer value.
Understand how frameworks like Xamarin and .NET can help you reach customers on all platforms. Learn how to use the same languages, APIs, and data structures across all mobile development platforms.
Learn how mixed reality helps you bring your work and data to life when you need it, and where you need it. Start building secure, collaborative mixed reality solutions today using intelligent services, best-in-class hardware, and cross-platform tools.
Learn to connect your devices to the cloud using flexible IoT solutions that integrate with your existing infrastructure. Collect untapped data and form valuable insights that help you create better customer experiences and generate new streams of revenue.
In this episode, Isaac Levin (@isaac2004) joins us to share how the developer exception resolution experience can be better with Azure Monitor and Snapshot Debugger. The discussion talks about what Azure Monitor is and an introduction to Snapshot Debugger, and quickly goes into demos showcasing what developers can do with Snapshot Debugger.
Application Insights is an extensible Application Performance Management (APM) service for web developers on multiple platforms. Use it to monitor your live web application. It will automatically detect performance anomalies. It includes powerful analytics tools to help you diagnose issues and to understand what users actually do with your app. It’s designed to help you continuously improve performance and usability. It works for apps on a wide variety of platforms including .NET, Node.js and Java EE, hosted on-premises, hybrid, or any public cloud. It integrates with your DevOps process, and has connection points to a variety of development tools. It can monitor and analyze telemetry from mobile apps by integrating with Visual Studio App Center.
Microsoft Azure Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response.
Collect data at cloud scale across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds.
Detect previously undetected threats, and minimize false positives using Microsoft’s analytics and unparalleled threat intelligence.
Investigate threats with artificial intelligence, and hunt for suspicious activities at scale, tapping into years of cyber security work at Microsoft.
Respond to incidents rapidly with built-in orchestration and automation of common tasks.
In the following step-by-step guide you get a global overview of Azure Sentinel :
When you have your Azure Sentinel Solutions in place with alerting rules and telemetry and analytics is coming to your workspace, Hunting is the next Threat management tool :
Azure sentinel Hunting
Working with Tags and Collaborate with Teammates
Launch Investigations and Bookmark
Working with Azure Notebooks for Azure Sentinel
Welcome to the Azure Sentinel repository! This repository contains out of the box detections, exploration queries, hunting queries, dashboards and playbooks to help you get ramped up with Azure Sentinel and provide you security content to secure your environment and hunt for threats. You can also submit any issues or feature requests as you onboard to Azure Sentinel. For questions and feedback, please contact AzureSentinel@microsoft.com
Get started from here to Configure your Azure Sentinel Environment
Choose your Data Collections for Azure Sentinel Security
Lot of Choice already Build-in for you.
From here you can make your own Azure Sentinel Analytics Alert Rules.
Alert Rules
Create Alert rules with the right mappings, triggers, and scheduling, response automation.
Add your own playbooks for your Security
Unlock the power of AI for security with Machine Learning
Machine Learning in Azure Sentinel is built-in right from the beginning. We have thoughtfully designed the system with ML innovations aimed to make security analysts, security data scientists and engineers productive. One such innovation is Azure Sentinel Fusion built especially to reduce alert fatigue.
Building your Full Screen Dashboard for Monitoring
More information about Azure Sentinel Intelligent Security :
Microsoft Keynote HoloLens 2 at Mobile World Congress (MWC) 2019
HoloLens 2
Microsoft HoloLens 2: Partner Spotlight with Philips
Microsoft HoloLens 2: Partner Spotlight with Bentley
Conclusion:
I see Awesome possibilities for Maintenance in Smart Cities and Smart Buildings with Intelligent Cloud and Intelligent Edge together with the Microsoft Hololens 2 and Microsoft Azure. Intelligent Dashboards in your Hololens 2 hybrid with your Azure App for example. Great for Manufacturers, Healthcare, Architects, Maintenance Companies but also for Teachers and Students doing innovative Education 🙂
Learn Azure in a Month of Lunches breaks down the most important Azure concepts into bite-sized lessons with exercises and labs—along with project files available in GitHub—to reinforce your skills. Learn how to:
Use core Azure infrastructure and platform services—including how to choose which service for which task.
Plan appropriately for availability, scale, and security while considering cost and performance.
Integrate key technologies, including containers and Kubernetes, artificial intelligence and machine learning, and the Internet of Things.
Configure continuous integration (CI) and continuous delivery (CD) for your IoT Edge application with DevOps Projects. DevOps Projects simplifies the initial configuration of a build and release pipeline in Azure Pipelines.
In the following steps you can see how easy it is to build your Continuous integration and continuous deployment to Azure IoT Edge with DevOps Project :
Select Simple IoT
Click on Next.
From here you set your Azure DevOps organization to your Azure IoT Hub. Click on additional settings
In additional settings you can set :
Azure Resource Group
Location ( region)
Container Registry
Container Registry name
Container registry SKU
Container Location
IoT Hub of Edge Devices
IoT Hub Location
Select Container Registry Plan
Azure Container Registry allows you to store images for all types of container deployments including DC/OS, Docker Swarm, Kubernetes, and Azure services such as App Service, Batch, Service Fabric, and others. Your DevOps team can manage the configuration of apps isolated from the configuration of the hosting environment.
More information about Azure Container Registry and pricing
Azure DevOps Project will do the rest of the deployment.
Of course Infrastructure as Code (IaC) is possible by ARM JSON Template.
Save the template for later.
here you got your ARM Templates.
Later you will see when you complete the deployment, that your JSON ARM template is in Azure DevOps Repo.
You can connect your Azure DevOps Repo via the portal but also via Visual Studio and Visual Studio Code.
The resources coming into myiotpipeline-rg
MyIOTPipeline-IoTHub is created.
MyIOTPipelineACR Container Registry is created.
MyIOTPipeline with Azure DevOps is created 🙂
Your Continuous integration and continuous deployment to Azure IoT Edge is deployed and active. Now you have your Azure Pipeline in place to continuously update your IoT Device App. From here you can go to Azure DevOps Project Homepage.
Via Agent phase you can see all the jobs of the deployment.
Azure DevOps Pipeline Release
here we have Azure DevOps Repos
Azure DevOps Services includes free unlimited private Git repos, so Azure Repos is easy to try out. Git is the most commonly used version control system today and is quickly becoming the standard for version control. Git is a distributed version control system, meaning that your local copy of code is a complete version control repository. These fully functional local repositories make it easy to work offline or remotely. You commit your work locally, and then sync your copy of the repository with the copy on the server.
Git in Azure Repos is standard Git. You can use the clients and tools of your choice, such as Git for Windows, Mac, partners’ Git services, and tools such as Visual Studio and Visual Studio Code.
All the Azure Resources for the IoT Edge Pipeline with Azure DevOps.
When you have your Azure DevOps Pipeline with IoT Edge devices running, you can monitor your pipeline with Analytics inside Azure DevOps.
Click Next.
Click on Install Analytics.
Select the right Azure DevOps Organization for your IoT Edge Pipeline.
Done !
Analytics is now active, you can make automated test plans in Azure DevOps and see the results via Analytics.
Azure DevOps Overview Dashboard.
There are a lot of predefined Analytics Views for you shared.
An Analytics view provides a simplified way to specify the filter criteria for a Power BI report based on the Analytics Service data store. The Analytics Service provides the reporting platform for Azure DevOps. More information about Analytics in Azure DevOps here
Easy to start with Powerbi and Azure DevOps Connector.
Planned manual testing
Plan, execute, and track scripted tests with actionable defects and end-to-end traceability. Assess quality throughout the development lifecycle by testing your desktop or web applications.
More information about making your testplan for your IoT Edge Devices Azure DevOps Pipeline
Conclusion :
When you connect Microsoft Azure IoT Edge – HUB with your Internet of Things Devices and combine it with Microsoft Azure DevOps Team to develop your Azure IoT Pipeline, then you are in fully control of Continuous integration and continuous deployment to Azure IoT Edge. From here you can make your innovations and Intelligent Cloud & Edge with Artificial Intelligence and Machine Learning to your Devices. You will see that this combination will be Awesome for HealthCare, Smart Cities, Smart Buildings, Infrastructure, and the Tech Industry.
In this Microsoft article, you learn how to use the built-in Azure IoT Edge tasks for Azure Pipelines to create two pipelines for your IoT Edge solution. The first takes your code and builds the solution, pushing your module images to your container registry and creating a deployment manifest. The second deploys your modules to targeted IoT Edge devices.
