Windows Dev Kit 2023 is an Arm-powered device built by Windows developers for Windows developers. Everything you need to develop Windows apps for Arm, on Arm. Powerful AI. All on one device.
More information here about the Windows Dev Kit 2023
You can purchase the dev kit here.
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
Run a Log Analytics query from Azure Sentinel and use Bookmarks to Hunt
Configure your own Data-Connector to Azure Sentinel Workspace
Read here more about Connecting data sources
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.
Watch the livestream here: https://www.microsoft.com/en-us/build
Book your Microsoft Build 2019 sessions via the BUILD Scheduler
Vision Keynote by CEO Satya Nadella
Have a good look which sessions to follow because there are 431 sessions 👍🚀
JOIN Azure DevOps Community
https://www.linkedin.com/groups/12139259/ …
JOIN Containers in the Cloud Community
https://www.linkedin.com/groups/13539967/ …
JOIN Azure Monitor and Security Community https://www.linkedin.com/groups/13517115/ …
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.
In the following step-by-step guide you get a global overview of Azure Sentinel :
Search for Azure Sentinel in the Azure Portal.
Click on Create
Connect or add your Workspace.
Click on Add Azure Sentinel
Azure Sentinel is added to your workspace.
Security Analytics
Learn here more with Microsoft Azure Monitor analytics queries
Here you can play with Azure Log Analytics 😉
Here you can collect all your Security Cases
Azure Sentinel Build-In Dashboard Solutions
Azure AD Audit Logs
Linux Machines Security
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
Azure Sentinel Notebooks on GitHub
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 :
Start here free with Azure Sentinel Preview
Microsoft Azure Sentinel on GitHub
Join Microsoft Azure Monitor & Security for Hybrid IT Community
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 🙂
Here you find more information about Microsoft Hololens 2 and Business Ready Apps
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 :
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
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.
Join the Azure DevOps Community on LinkedIn
Join Containers in the Cloud Community on LinkedIn
Join Microsoft Azure Monitor & Security for Hybrid IT Community on LinkedIn
Microsoft Visual Studio Code Tools for AI
With container support, customers can use Azure’s intelligent Cognitive Services capabilities, wherever the data resides. This means customers can perform facial recognition, OCR, or text analytics operations without sending their content to the cloud. Their intelligent apps are portable and scale with greater consistency whether they run on the edge or in Azure.
Bringing AI to the Edge via Corporate Vice President, Azure AI Eric Boyd
Building solutions with machine learning often requires a data scientist. Azure Cognitive Services enable organizations to take advantage of AI with developers, without requiring a data scientist. We do this by taking the machine learning models and the pipelines and the infrastructure needed to build a model and packaging it up into a Cognitive Service for vision, speech, search, text processing, language understanding, and more. This makes it possible for anyone who can write a program, to now use machine learning to improve an application. However, many enterprises still face challenges building large-scale AI systems. Today Microsoft announced container support for Cognitive Services, making it significantly easier for developers to build ML-driven solutions.
Microsoft got the following Containers :
More information from Director of Program Management Applied AI Lance Olson here
You must first complete and submit the Cognitive Services Vision Containers Request form to request access to the Face container. The form requests information about you, your company, and the user scenario for which you’ll use the container. Once submitted, the Azure Cognitive Services team reviews the form to ensure that you meet the criteria for access to the private container registry.
Important !
You must use an email address associated with either a Microsoft Account (MSA) or Azure Active Directory (Azure AD) account in the form. If your request is approved, you then receive an email with instructions describing how to obtain your credentials and access the private container registry.
Read more about installing the Containers here
The Face container uses a common configuration framework, so that you can easily configure and manage storage, logging and telemetry, and security settings for your containers.
Configuration settings
Configuration settings in the Face container are hierarchical, and all containers use a shared hierarchy, based on the following top-level structure:
Read more here about Configuring the Containers
What’s New in Microsoft SQL Server 2019 Preview
• Big Data Clusters
o Deploy a Big Data cluster with SQL and Spark Linux containers on Kubernetes
o Access your big data from HDFS
o Run Advanced analytics and machine learning with Spark
o Use Spark streaming to data to SQL data pools
o Use Azure Data Studio to run Query books that provide a notebook experience
• Database engine
o UTF-8 support
o Resumable online index create allows index create to resume after interruption
o Clustered columnstore online index build and rebuild
o Always Encrypted with secure enclaves
o Intelligent query processing
o Java language programmability extension
o SQL Graph features
o Database scoped configuration setting for online and resumable DDL operations
o Always On Availability Groups – secondary replica connection redirection
o Data discovery and classification – natively built into SQL Server
o Expanded support for persistent memory devices
o Support for columnstore statistics in DBCC CLONEDATABASE
o New options added to sp_estimate_data_compression_savings
o SQL Server Machine Learning Services failover clusters
o Lightweight query profiling infrastructure enabled by default
o New Polybase connectors
o New sys.dm_db_page_info system function returns page information
• SQL Server on Linux
o Replication support
o Support for the Microsoft Distributed Transaction Coordinator (MSDTC)
o Always On Availability Group on Docker containers with Kubernetes
o OpenLDAP support for third-party AD providers
o Machine Learning on Linux
o New container registry
o New RHEL-based container images
o Memory pressure notification
• Master Data Services
o Silverlight controls replaced
• Security
o Certificate management in SQL Server Configuration Manager
• Tools
o SQL Server Management Studio (SSMS) 18.0 (preview)
o Azure Data Studio
SQL Server 2019 big data clusters make it easier for big data sets to be joined to the dimensional data typically stored in the enterprise relational database, enabling people and apps that use SQL Server to query big data more easily. The value of the big data greatly increases when it is not just in the hands of the data scientists and big data engineers but is also included in reports, dashboards, and applications. At the same time, the data scientists can continue to use big data ecosystem tools while also utilizing easy, real-time access to the high-value data in SQL Server because it is all part of one integrated, complete system.
Read the complete Awesome blogpost from Travis Wright about SQL Server 2019 Big Data Cluster here
Starting in SQL Server 2017 with support for Linux and containers, Microsoft has been on a journey of platform and operating system choice. With SQL Server 2019 preview, we are making it easier to adopt SQL Server in containers by enabling new HA scenarios and adding supported Red Hat Enterprise Linux container images. Today we are happy to announce the availability of SQL Server 2019 preview Linux-based container images on Microsoft Container Registry, Red Hat-Certified Container Images, and the SQL Server operator for Kubernetes, which makes it easy to deploy an Availability Group.
SQL Server 2019 preview containers now available
Azure Data Studio is a new cross-platform desktop environment for data professionals using the family of on-premises and cloud data platforms on Windows, MacOS, and Linux. Previously released under the preview name SQL Operations Studio, Azure Data Studio offers a modern editor experience with lightning fast IntelliSense, code snippets, source control integration, and an integrated terminal. It is engineered with the data platform user in mind, with built-in charting of query resultsets and customizable dashboards.
Read the Complete Blogpost About Microsoft Azure Data Studio for SQL Server here
Awesome work Microsoft SQL Team and Congrats on your 25th Anniversary !
At the Center of intelligent security management is the concept of working smarter, not harder. However, this is a significant undertaking when you consider the ever-evolving landscape of threats and security challenges, combined with the myriad of devices, apps, and user scenarios. In this e-book, learn how you can intelligently detect, protect, and respond to threats by leveraging the strong integration between Microsoft security solutions and our partners.
Read the full e-book to learn how Microsoft is using artificial intelligence (AI) in security features like:
You can download Enhancing Microsoft Security using Artificial Intelligence E-book here
It’s Really Awesome to Help Microsoft on the #MSTechSummit in Amsterdam for the community doing Q&A on the Microsoft Experts Center Booth and talking with customers on real scenarios about moving to the Microsoft Azure Cloud. Questions like What are the best practices, and what can I do with Microsoft Azure Stack in my own datacenter. Where can I get more information ? Solving problems for the customer by giving them directions where they can find the solution. Supporting customers with the On-Demand LABS and answering the questions they have, It’s just Great to be a Microsoft MVP Cloud and Datacenter Management and support the Community in this way on the Microsoft Tech Summit 2018 in Amsterdam 🙂
Here you see some impressions of the two days Event :
The Entrance in Amsterdam RAI on the Day before the Event
Getting registered as a Speaker on the Day before the MSTechSummit begins.
The Azure Keynote with Tad Brockway
Impressive Virtual Machine on Azure Cloud Services
Supporting the Community on the Experts Booth doing Q&A
On the Picture with Seth Juarez He Likes Machine Learning and AI
and of course working on CH9
And on the Picture with Jeff Woolsey from the Microsoft Server Team.
Install Project Honolulu for Remote Management 😉
And YES you can do Clustering on Microsoft Azure !
Have a look at Robert Smit his Blog Site
Meeting MVP mate from Austria Toni Pohl
He is developing cloud solutions with Office365 and Azure
The HUB
A full House for the Break-Out Session Azure Stack with Natalia Mackevicius
She is Director PM Azure Stack
Community Center and Experts Booth
Join the Microsoft Tech Community Today
#MVPbuzz
Microsoft LABS on Demand are Ready to Rock !
Thank you Microsoft and Community for this Awesome Event !
Microsoft Tech Summit 2018 Amsterdam
Cloud and Datacenter Management Blog 