Logic Apps

Here’s how you can deploy Azure Logic Apps standard in a quick and easy way with Azure DevOps.

Protecting sensitive data is one of the most critical tasks when it comes to designing cloud applications. But sometimes this imposes challenges when using out of the box components, like in case of logic apps connecting to firewall protected blob storage.

Started up as manual extraction, evolved into PowerShell scripts, serverless Functions and ended up as Logic Apps. Read how this great service solved our business need for just 3 cents a month.

Choosing the right trigger type is very important task when designing data factory workflows. Today I will show you four ways to trigger data factory pipelines so you can make sure you react to your business needs better.

Using conditions, loops and parallel execution allows developers to implement much more complex Enterprise Integration scenarios using Azure Logic Apps. All those actions are available through Control Actions group which we will learn all about Today.

Introduction of obfuscation feature in Azure Logic Apps for input and output blocks allows for better secret management and enhanced security. This article will focus on presenting capabilities of this feature.

Logic Apps are great but exposing them as publicly available HTTP service is clearly far from perfect. This article shows how to solve this challenge by using API Management service which be used to secure Logic Apps HTTP endpoint with Azure AD token authentication.

Managing application account credentials is just another thing to worry for application developers; especially in public cloud. Learn what is Managed Identity for Azure Services and how does it solve this problem.

Azure Logic Apps are Enterprise Integration Service and as such their main purpose is orchestration, integration and scheduling of tasks in a simple way. With easy to use user interface, no coding design and powerful extensibility you can easily integrate services in minutes.

Data factory is currently go-to service for data load and transformation processes in Azure. In this article a common scenario of refreshing models in Azure Analysis Services will be implemented using ADF components including a comparison with the same process using Azure Logic Apps.