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How to throw custom exceptions inside Logic Apps: Using default capabilities - Avoiding too many condition actions (Part III)

Welcome to the third part of this series of blog posts on How to throw custom exceptions inside Logic Apps. In this series of five blogs, I will cover throwing custom exceptions in Logic Apps. I will cover the following topics: In this third approach, we are going to do a considerable fine-tuning of the previous approach, keeping the same capability to define custom error messages but redesigning the business logic in order to minimize the number of actions and optimize performance.

Logic App Best Practices, Tips, and Tricks: #29 How to validate if an Array is empty

In the last post, we addressed validating whether a string was null or empty. Today I will speak about another good Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps) and another usual validation requirement: How to validate if an Array is empty or not.

Azure App Service Autoscaling: Steps to Configure

Azure App Service is a platform as a service (PaaS) offering from Microsoft Azure that allows developers to quickly build, deploy, and scale web apps and APIs on Azure. Azure App Service is designed to be highly scalable, allowing you to easily scale your application to meet changing traffic demands. One of its most important features is auto-scaling, which allows your application to automatically adjust the number of instances it’s running based on changes in traffic or demand.

Logic App Best Practices, Tips, and Tricks: #28 How to check if a string is Null or Empty

Today I will speak about another useful Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps): How to check if a parameter or a string is Null or Empty.

Configuring Azure Logic App Failure Alerts To Stay Ahead

Azure Logic Apps is a cloud-based service provided by Microsoft Azure that allows users to create and run automated workflows. A trigger is the first step of a workflow that specifies the condition for running further steps in that workflow. Azure Logic Apps creates a workflow run each time the trigger fires successfully. The details of each run, including the status, inputs, and outputs of each step of the workflow instance, can be accessed in the run history section of the Logic App.

Understanding Azure Function App Metrics

This article will focus on the metrics side of Azure Functions and features offered by the Azure Portal and then talk about the value of Serverless360. Then about the product that provides beyond the primary feature set in the Azure Portal, which will help you improve the day-to-day operations of your Azure solution. There are many different ways you can manage and operate Azure Functions and features like Application Insights which can also help you with Azure Functions.

Monitoring Azure Integration Services with Proactive Strategies

Enterprises are increasingly turning to cloud-based integration solutions to streamline their application development and management processes. Azure Integration Services is a cloud-based integration platform provided by Microsoft, designed to facilitate the integration of various enterprise applications and systems. It offers a range of tools and services that help to simplify and accelerate the development of enterprise applications, as well as improve their scalability, reliability, and security.

How to throw custom exceptions inside Logic Apps: Using default capabilities - Extract failure information (Part II)

Welcome to the second part of this series of blog posts on How to throw custom exceptions inside Logic Apps. In this series of five blogs, I will cover throwing custom exceptions in Logic Apps. I will cover the following topics: In this second approach, we are going to do a small fine-tuning of the previous approach by adding the capability to define custom error messages for each condition and, of course, get that information inside the Catch Scope.

How to get Azure Data Factory Pipeline Failure Notification?

Azure Data Factory is a cloud-based data integration tool focusing on data extraction, transformation, and loading. A pipeline in Azure Data Factory is a collection of processes that move data to a shared repository, such as a data warehouse. Why it is important to monitor Azure Data Factory pipeline failures?