ARM \ Logic App Deployment with Azure DevOps


Microsoft’s documentation refers to Logic Apps as being iPaaS or integration Platform-as-a-Service. The “i” in iPaaS indicates the strength of Logic Apps; not only are Azure systems integrated but external and third-party systems can be included in your Logic Apps, including Twitter, Slack, Office 365, and many others. This integration is done using a set of Microsoft-provided connectors. However, if a connector does not exist, then you can still integrate your logic app to external systems via their APIs.

Go to the Azure portal and create the logic app.


Virtually every resource in Azure can be extracted into an ARM Template (Azure Resource Manager Template), allowing you to spin up an environment using the Json based template.

Configure parameters

Open your favourite code editor (my personal is VS Code or Visual Studio) and examine the template you just downloaded. You will notice a number of parameters in the template.

deploy and grab that much earned beer.

For my deployments, I use Azure DevOps. There is a great task Microsoft have added called Azure Resource Manager Deployment allowing you to automate your deployments for multiple environments.


MongoDb example

Simple example for MongoDB. Save and retrieve data from Azure Cosmos DB.

Create an Azure Cosmos Db as MongoDb

For creating a new MongoDb on Azure, search from the list of resources, Azure Cosmos Db. Then Add a new database and you see the following screen.

Add new CosmosDB


When you created a new MongoDb, you see an Overview where there are general information about how many queries the database did (split on insert, update, cancel, query, count, others).

Azure Overview

Under Connection String you have the connection to use in your application. In this project you insert in Program.cs the connection string in the variable called connectionString.


You can explorer all data in your Mongo database. Click on Data Explorer and you can see everything. Also, you can execute same queries.

Azure CosmosDb Data Explorer

You find an example application on my GitHub.