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| lab-01-mattermost-app-deploy-mysql-image-vmss-ag | ||
| lab-02-hpc-mpio-infra-deploy | ||
| lab-03-hdinsight-cluster-build | ||
| lab-04-aks-app-deploy | ||
| lab-05-azure-functions-serverless-web | ||
| lab-06-todo-app-webapps-acr-cosmosdb | ||
| lab-07-shared-image-gallery | ||
| lab-08-api-management | ||
| lab-09-management-groups | ||
| lab-10-migrate-at-scale-sith-site-recovery | ||
| lab-11-containers-on-azure | ||
| modules/library | ||
| provision-scripts | ||
| .gitignore | ||
| LICENSE | ||
| README.md | ||
| SECURITY.md | ||
| lab-runbook.pdf | ||
| presentation.pdf | ||
| randomize.sh | ||
| vars.yml | ||
README.md
Ansible Deployment Labs for Microsoft Azure
This is a collection of Ansible Labs originally presented at Red Hat Summit 2019. All labs perform various actions on Microsoft Azure using Ansible. Ansible >= 2.8 is required as well as the Ansible Modules for Azure.
Deploy and scale Microsoft Azure infrastructures and applications with Red Hat Ansible Automation.
* Lab 1: Configuring an IaaS application on a virtual machine, connecting MySQL and scaling
* Lab 2: Provisioning an MPIO-Capable HPC Infrastructure and testing Infiniband Latency
* Lab 3: Building an HDInsight Cluster and performing Big Data queries
* Lab 4: Deploying applications with AKS
* Lab 5: Configuring a serverless application using Azure Functions
* Lab 6: Containerize a NodeJS Application, load to ACR and deploy as an Azure Web App
* Lab 7: Using Azure Shared Image Gallery
* Lab 9: Leveraging Azure Management Groups to control Azure subscriptions
* Lab 10: Azure Migration at scale
* Lab 11: Azure REST API Management
These hands-on labs will showcase the following:
* 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.
* Big data workloads using Azure HDInsight.
* High-performance computing using Azure virtual machine infiniband interconnects.
* Hosting an Azure Application Service
* Running a containerized application using Azure Web Apps
* Launching an application in Azure Kubernetes Service (AKS).
* Serverless applications using Azure functions.
Original content created by: Stuart Kirk & Zim Kalinowski with assistance from Steve Roach, Sasha Rosenbaum, Harold Wong, Jason De Lorme, Michael Yen-Chi Ho, Patrick Rutledge
Base implementation for Function App Docker container comes from here:
https://github.com/Azure/azure-functions-docker-python-sample
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.