This course demonstrates different approaches for building container based applications and deploying them into Azure. Different modules cover Windows and Linux based Docker containers with popular container orchestrators like Kubernetes and DCOS provisioned by the Azure Container Service. The course also show integration of container registries, specifically Docker Hub and the Azure Container Registry into DevOps workflows. This course starts with the basics of building a Linux and a Windows container running a .NETCore application. The course concludes showing how to customize the ACS templates with the acs-engine to deploy advanced cluster configurations.
This blueprint provides a step-by-step plan for preparing and completing the exam 70-473 Designing and Implementing Cloud Data Platform Solutions using Opsgility online courses and labs along with Microsoft documentation.
This blueprint provides a step-by-step plan for preparing and completing the exam 70-534 Architecting Azure Solutions using Opsgility online courses and labs along with Microsoft documentation.
In this lab you will create an Azure SQL Database using the Azure Portal and connect to it using SQL Server Management Studio. You will then migrate a database hosted on a virtual machine to an Azure SQL Database.
This course provides an in-depth examination of Microsoft Azure Virtual Machines starting from introductory concepts through advanced capabilities of the platform. The student will learn best practices for configuring virtual machines for performance, durability, and availability using features built into the platform. This course is designed using the Azure Resource Manager architecture and does not focus on the Azure Classic Architecture.
This course provides an in-depth examination of Microsoft Azure Virtual Networks and hybrid connectivity starting from introductory concepts through advanced capabilities of the platform. The student will learn about options for connecting securely to a virtual network from an on-premises network or from another virtual network in Azure. This course will discuss configuration options with site-to-site, point-to-site, and introduce the student to Microsoft Azure ExpressRoute.
In this class on Xamarin Forms, you will learn how to create cross platform applications for iOS, Android and Windows UWP and share C# code for both the UI and the logic that drives it. We will cover the solution structure, layout system, basic controls and different app styles you can create. XAML is supported in Xamarin Forms and we will look at how to add pages, provide behavior and even change property values in a device-specific fashion. We will explore how the Xamarin Forms layout system works and show you how to best utilize the StackLayout and Grid layout containers, as well working with ListView and Image views. You will learn how to build an Azure Mobile App on the Azure Portal using the Quickstart for Xamarin Forms. The App Service that the Quickstart generates will be customized to add more tables, DTOs and Controllers. Finally, you will modify an existing app to become a Xamarin Forms Client for Azure with offline synchronization.
This course provides a comprehensive introduction to designing and implement Internet of Things (IoT) solutions on Microsoft Azure. The course covers both directions of message flow from device-to-cloud and cloud-to device, building analytics solutions atop the real-time telemetry, managing devices and securing the solution.
This course provides a high-level introduction to Microsoft’s Operation Management Suite (OMS). After a brief discussion of the value proposition for OMS, we look closely at each of the four feature pillars of OMS, including:
· Insight & Analytics
· Automation & Control
· Protection & Disaster Recovery
· Security & Compliance
This course will help you understand core concepts and get started in using OMS as a monitoring and management solution for hybrid cloud deployments.
This module will cover all aspects of big data storage and batch processing. We will start by making the case for big data in Azure. Then we will look at Azure service topics to include Blob Storage, Azure Data Lake Store, Azure Data Lake Analytics, and HDInsight clusters running Hadoop, Hive, Interactive Hive (LLAP) and Spark. Storage topics will focus on choosing the right storage, configuring storage and storage optimization. We will also cover Big Data scenarios including batch processing, interactive clusters, multi-cluster deployments and on-demand clusters.
This module will provide an overview of big data, IoT and machine learning solutions in Azure. We will define the meaning of big data and look at the reasons why you might need a big data solution. We will then move on to a discussion of the analytics maturity model to understand how machine learning extracts value from big data. Next, we will review the lambda architecture which is the dominant architecture for big data solutions. We will look at the Azure components used in big data solutions and how they fit together to build an end-to-end lambda architecture in Azure. Finally, we will wrap up with a discussion of the Cortana Intelligence Suite and the value that it brings to big data and analytics solutions in Azure.
In this course, students will learn the different cloud identity solutions that are provided by Azure Active Directory, and how to integrate them in a hybrid environment with your on-premises identity solution.
Students will first be introduced to the issues with identity in today’s cloud-first world. Then there will be a thorough examination of several Azure Active Directory features, across the different service tiers available today. Starting from the Azure AD Connect synchronization tool, we move to providing knowledge around the differences between Azure AD B2B/B2C and how to deploy them. Next subject is Azure Active Directory Domain Services, after which we detail the integration with Office 365. The course is ended with an extensive mapping of Azure AD connect with ADFS Federation and the newest Azure AD Pass-through authentication.
This course is also a good help for the Microsoft Azure Infrastructure exam (70-533) as well as for the Office 365 Identity exam (70-346).
This course builds on the “Introduction to ARM Templates with Visual Studio” course. In this course, you will learn about design and creation best practices, you will also learn about the various functions available when authoring ARM Templates. Other topics covered are Nested Templates, Deployment, and Troubleshooting. Throughout the course, you will walk the authoring and deployment of a multi-tier architecture defined in a single ARM Template (which is then broken into multiple nested templates).
In this lab, you will process and query data using Azure Data Lake. You will deploy Azure Data Lake Analytics and Azure Data Lake Store. You will then transfer a data file from your lab machine to the Azure Data Lake Store. You will process the data in the store and save the results back out to a file. You will then run a federated query against the curated data and join it to a table stored in an Azure SQL Database. Finally, we will deploy an HDInsight cluster to query the same data stored in the Data Lake Store using Hive.
In this lab, you will build an HDInisght Spark cluster to support an interactive business intelligence workloads. You will leverage Visual Studio 2017 to customize an ARM template to automate your deployment. You will import data and process it in Spark using Jupyter notebooks and then convert your data into a Hive table. You will then connect to your Spark cluster and query the Hive table to build a report with Power BI.
This course gives you an introduction to AzureML and associated technologies, such as R, Power BI and RStudio. This course begins by covering an introduction to AzureML, and then we walk through AzureML as if we were working our way through a Data Science Project. Once the Data Science project is complete, we will look at how you can set up and report on the AzureML modelling process with Power BI.
In this introductory course, students are walked through building an enterprise web solution using Microsoft Azure Platform as a Service (PaaS) components and Visual Studio 2017.
|This training explores Microsoft Azure DNS Services and Azure Traffic Manager from the perspective of an IT Professional. Students are introduced to Azure Domain Name Services as a Service for DNS domains. The student will learn best practices for configuring Azure Domain Name Services. An overview of Azure Traffic Manager that allows you to control the distribution of user traffic to your services hosted in Azure is also made.|
This course covers managing Azure Web Apps. The topics discussed cover a broad overview of Azure App Service and Azure Web Apps, as well as more in-depth discussion into many of the various features of Azure Web Apps, PowerShell and the Azure CLI. The features covered in this course include: Continuous Deployment, Kudu, Diagnostics & Monitoring, Application Insights, Hybrid Networking, Deployment Slots, Testing, Scaling, Traffic Manager, and Azure CDN. This course should help in preparation for both: