Cloud and Datacenter Management Blog

Microsoft Hybrid Cloud blogsite about Management


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Inside Azure Management (Preview) Free E-Book #Azure #Cloud #Management #MVPBuzz

Inside Azure Management

This Awesome Inside Azure Management E-book is a must have with Great content !

Chapter 1 – Intro
Chapter 2 – Implementing Governance in Azure
Chapter 3 – Migrating Workloads to Azure
Chapter 4 – Configuring Data Sources for Azure Log Analytics
Chapter 5 – Monitoring Applications
Chapter 6 – Monitoring Infrastructure
Chapter 7 – Configuring Alerting and notification
Chapter 8 – Monitor Databases
Chapter 9 – Monitoring Containers
Chapter 10 – Implementing Process Automation
Chapter 11 – Configuration Management
Chapter 12 – Monitoring Security-related Configuration
Chapter 13 – Data Backup for Azure Workloads
Chapter 14 – Implementing a Disaster Recovery Strategy
Chapter 15 – Update Management for VMs
Chapter 16 – Conclusion

It’s all about Azure Management in the Cloud written by Great Microsoft MVP’s.
Download the Free Inside Azure Management E-book here

 

Follow the Authors here :  Tao Yang, Stanislav Zhelyazkov, Pete Zerger, and Kevin Greene, along with Anders Bengtsson, CSA for Microsoft.

Thank you for all the work guys and Congrats on this Awesome E-Book ! 😉


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#Microsoft System Center 2019 GA – Whats New #Sysctr #SCVMM #SCOM #SCDPM #Azure

Download Microsoft System Center 2019 Now

Hybrid Integration

As enterprise environments now span on-premises to the cloud, customers look to leverage the innovation in Azure services using their on-premises tools. To enable this, Microsoft has integrated System Center with a set of management services in Azure to augment the on-premises tools.

  • With Service Map integration with System Center Operations Manager (SCOM), you can automatically create distributed application diagrams in Operations Manager (OM) that are based on the dynamic dependency maps in Service Map.
  • With Azure Management Pack, you can now view perf and alert metrics in SCOM, integrate with web application monitoring in Application Insights, and monitor more PaaS services, such as Azure Blob Storage, Azure Data Factory, etc.
  • Virtual Machine Manager (VMM) 2019 enables simplified patching of VMs by integrating with Azure Update Management.

What is New in Microsoft System Center 2019

Read here what is new on Microsoft System Center 2019 for your IT Management :

New features in VMM 2019
See the following sections for detailed information about the new features/feature updates supported in VMM 2019.
System Center 2019 – Virtual Machine Manager (VMM) supports rolling upgrade of a Hyper-V host cluster from Windows Server 2016 to Windows Server 2019. Versions earlier to VMM 2019 supports rolling upgrade to 2016 from 2012 R2 This article provides the upgrade information for System Center 2019 – Virtual Machine Manager (VMM).

New features in DPM 2019
See the following sections for detailed information about the new features/feature updates supported in DPM 2019.


Modern Backup Storage (MBS) was introduced in System Center Data Protection Manager (DPM) 2016 to deliver 50% storage savings, 3X faster backups, and more efficient, workload-aware storage. DPM 2019 introduces further performance improvements with MBS resulting in 50-70% faster backup with Windows Server 2019. This article provides the upgrade information for System Center 2019 – Data Protection Manager (DPM). 

New features in Operations Manager 2019
See the following sections for detailed information about the new and updated features in System Center 2019 – Operations Manager. Features and updates introduced in Operations Manager version 1801 and 1807 are included in version 2019. Plan your Upgrade to SCOM 2019

Service Map integration
Service Map automatically discovers application components on Windows and Linux systems and maps the communication between services. It automatically builds a common reference map of dependencies across your servers, processes, and third-party services. Integration between Service Map and System Center Operations Manager allows you to automatically create distributed application diagrams in Operations Manager that are based on the dynamic dependency maps in Service Map.

System Center Configuration Manager Documentation

New in System Center Orchestrator

New in System Center Service Manager

New in System Center Service Management Automation

New in System Center Service Provider Foundation


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#Microsoft Azure Sentinel (Preview) Overview #Azure #Sentinel #Security #Analytics #SIEM

 

Microsoft Azure Sentinel

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 :

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.

Azure Sentinel Overview

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 Docs

Microsoft Azure Sentinel on GitHub

Join Microsoft Azure Monitor & Security for Hybrid IT Community

 


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#Microsoft Hololens 2 Overview Videos #MWC2019 #Hololens #Azure #VR with @satyanadella

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 🙂

Here you find more information about Microsoft Hololens 2 and Business Ready Apps


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Learn Azure in a Month of Lunches Free E-book #Azure #Cloud #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.

You can download the Free Learn Azure in a Month of Lunches E-book here


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How to monitor your #Kubernetes clusters – Best Practices Series #AKS #AzureMonitor

Get best practices on how to monitor your Kubernetes clusters from field experts in this episode of the Kubernetes Best Practices Series. In this intermediate level deep dive, you will learn about monitoring and logging in Kubernetes from Dennis Zielke, Technology Solutions Professional in the Global Black Belts Cloud Native Applications team at Microsoft.

Multi-cluster view from Azure Monitor

Azure Monitor provides a multi-cluster view showing the health status of all monitored AKS clusters deployed across resource groups in your subscriptions. It shows AKS clusters discovered that are not monitored by the solution. Immediately you can understand cluster health, and from here you can drill down to the node and controller performance page, or navigate to see performance charts for the cluster. For AKS clusters discovered and identified as unmonitored, you can enable monitoring for that cluster at any time.

Understand AKS cluster performance with Azure Monitor for containers

Container Live Logs provides a real-time view into your Azure Kubernetes Service (AKS) container logs (stdout/stderr) without having to run kubectl commands. When you select this option, new pane appears below the containers performance data table on the Containers view, and it shows live logging generated by the container engine to further assist in troubleshooting issues in real time.
Live logs supports three different methods to control access to the logs:

AKS without Kubernetes RBAC authorization enabled
AKS enabled with Kubernetes RBAC authorization
AKS enabled with Azure Active Directory (AD) SAML based single-sign on

You even can search in the Container Live Logs for Troubleshooting and history.

View Container Live logs with Azure Monitoring for AKS | Kubernetes | Containers 


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#Azure IoT Pipeline with Microsoft #AzureDevOps Project #IoT #Code #Apps #SmartCities

Azure IoT Edge – Hub with Azure DevOps Pipeline

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.

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