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Deploy and scale Microsoft Azure Cloud Native infrastructures and applications with Red Hat Ansible Automation

License: MIT License

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redhatsummit2020's Introduction

Deploy and scale Microsoft Azure Cloud Native infrastructures and applications with Red Hat Ansible Automation

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.

Utilizing the Azure Linux CLI, these labs will allow you to interact with Azure to perform the following tasks using Ansible by Red Hat:

Deploy an application and leverage Cloud Native services to scale:

*  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.

Or, choose to work on one of the individual labs below:

*  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

Content created by: Stuart Kirk & Zim Kalinowski with contributions from Jason DeLorme, Joey Schluchter and Brian Redmond. Special thanks to Michael Yen-Chi Ho and Manesh Raveendran from the marketing and infrastructure teams for their steadfast support and investments to make this lab possible!

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 [email protected] for additional details and to coordinate delivery of the program.

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