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+# Deploy and scale Microsoft Azure Cloud Native infrastructures and applications with Red Hat Ansible Automation
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+This repository contains practical exercises for the Red Hat Summit 2020 Instructor-Led-Lab (ILL), Deploy and scale Cloud Native Microsoft Azure infrastructures and applications with Red Hat Ansible Automation.
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+Utilizing the Azure Linux CLI, these labs will allow you to interact with Azure to perform the following tasks using Ansible by Red Hat:
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+Deploy an application and leverage Cloud Native services to scale:
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+ * Working with the Azure Linux CLI
+ * Connecting Ansible to Microsoft Azure
+ * Create a Red Hat Enterprise Linux virtual machine in Azure using the Azure Marketplace.
+ * Create and configure an Azure MySQL PaaS database.
+ * Deploy an application on the RHEL virtual machine which utilizes the Azure MySQL PaaS database.
+ * Generalize the RHEL virtual machine image to create a golden image template for group deployments.
+ * Scale out the application to multiple servers using Azure virtual machine scale sets.
+ * Create an application gateway & load balancer to front-end the deployed application.
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+Or, choose to work on one of the individual labs below:
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+ * Big Data - Driving Big Data workloads using Azure HDInsight
+ * HPC - Explore Azure virtual machine infiniband interconnects and parallel workloads
+ * Kubernetes - Deploying a scalable application using Azure Kubernetes Service (AKS)
+ * Migration - Containerizing an application & migrating to Cloud Native services (Apps / Registry / CosmosDB)
+ * OpenShift - Creating a new project and deploying it to Azure Red Hat OpenShift
+ * Serverless - Explore Serverless computing and functions using Microsoft Azure
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+Content created by: [Stuart Kirk](https://github.com/stuartatmicrosoft) & [Zim Kalinowski](https://github.com/zikalino) with contributions from [Jason DeLorme](https://github.com/ms-jasondel), [Joey Schluchter](https://github.com/jschluchter) and [Brian Redmond](https://github.com/chzbrgr71). Special thanks to [Michael Yen-Chi Ho](https://github.com/yenchiho) and [Manesh Raveendran](https://github.com/Manesh-R) from the marketing and infrastructure teams for their steadfast support and investments to make this lab possible!
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+The content of this program can be re-delivered, on request, to any Microsoft customer seeking to deploy open source workloads on Azure. Please contact stkirk@microsoft.com for additional details and to coordinate delivery of the program.
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