Azure Logic Apps Implementation with Actual-Time Examples


Azure Logic Apps provide a robust option to automate workflows and combine varied companies and functions seamlessly. Whether or not you are a developer, an IT skilled, or a enterprise person, Logic Apps offers a sturdy platform for constructing scalable and environment friendly workflows with out the necessity for in depth coding. On this article, we’ll delve into the implementation of Azure Logic Apps, offering a step-by-step information together with real-time examples as an example its capabilities.

What are Azure Logic Apps?

Azure Logic Apps is a cloud-based service that allows you to automate workflows and combine knowledge, functions, programs, and companies throughout enterprises and organizations. It offers a visible designer to mannequin and automate workflows as a collection of steps, referred to as “triggers” and “actions,” with out the necessity for writing in depth code. Logic Apps helps tons of of connectors, permitting seamless integration with varied Azure companies, third-party functions, and on-premises programs.

Getting Began with Azure Logic Apps

Step 1. Check in to the Azure Portal

Navigate to the Azure Portal ( and register together with your Azure account.

Step 2. Create a Logic App

  • Click on on “Create a useful resource” and seek for “Logic App” within the Azure Market.
  • Choose “Logic App” from the search outcomes, then click on “Create.”
  • Enter the required particulars, similar to title, subscription, useful resource group, and site.
  • Click on “Overview + Create,” then “Create” to deploy the Logic App.

Step 3. Designing Your Workflow

As soon as the Logic App is created, you will be directed to the Logic App Designer.

  • Click on on “Clean Logic App” to begin with an empty workflow.
  • Choose a set off in your workflow. This may very well be a timer, an HTTP request, a message from a queue, or an occasion from varied companies like Azure Blob Storage, Workplace 365, and so on.
  • Add actions to carry out duties based mostly on the set off. You may select from a variety of connectors and actions to work together with completely different companies and programs.

Step 4. Configure Triggers and Actions

  • For every set off and motion, configure the required parameters by offering needed inputs and defining situations.
  • Make the most of dynamic content material and expressions to control knowledge and management the circulation of your workflow.

Step 5. Save and Run the Logic App

  • As soon as your workflow is designed, save the Logic App.
  • Take a look at your Logic App by triggering the workflow and verifying that the actions are executed as anticipated.

Actual-Time Instance Twitter Sentiment Evaluation

Let’s illustrate the implementation of Azure Logic Apps with a real-time instance of sentiment evaluation on Twitter.

State of affairs

We need to analyze the sentiment of tweets containing a selected hashtag (#Azure) and retailer the leads to Azure Blob Storage.


  1. Set off: Use the “Twitter – When a brand new tweet is posted” set off. Authenticate together with your Twitter account and specify the search question with the specified hashtag (#Azure).
  2. Motion: Add the “Textual content Analytics – Detect Sentiment” motion. Connect with your Textual content Analytics service and specify the textual content enter because the tweet’s textual content.
  3. Motion: Embrace the “Azure Blob Storage – Create Blob” motion. Connect with your Azure Blob Storage account and outline the container and file title for storing the sentiment evaluation outcomes.
  4. Save and Run: Save the Logic App and set off it to begin monitoring tweets with the desired hashtag.


Azure Logic Apps present a sturdy platform for automating workflows and integrating disparate programs and companies with ease. By following this step-by-step information and real-time instance, you’ll be able to harness the facility of Logic Apps to streamline your small business processes and obtain better effectivity in your Azure surroundings.

  "step": "instance",
  "set off": {
    "kind": "Twitter",
    "question": "#Azure"
  "actions": [
      "type": "TextAnalytics",
      "service": "SentimentAnalysis"
      "type": "AzureBlobStorage",
      "action": "CreateBlob",
      "container": "sentiment-analysis",
      "fileName": "tweet_sentiment.json"

Bear in mind, the probabilities with Azure Logic Apps are limitless, and you’ll customise workflows to fit your particular enterprise wants.

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