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October 2020

Azure Logic Apps 101 - Developer tools: what are my options (Part II)

In the first part of this article, we mention that at the moment, you have three options for you to start developing your Logic Apps: And we analyze the advantages, disadvantages, and how to start developing Logic Apps by using the Azure Portal. Today we are going to address. Today we are going to do the same but this time using Visual Studio 2019.

Azure Logic Apps Error Handling Using Serverless360 BAM

A few weeks ago, my good friend Josh Cook wrote a blog post for Power Automate about getting the error message when implementing the try/catch pattern with a Flow. We discussed if this could be used with Logic Apps, and Josh confirmed that it could, even though the Logic App documentation doesn’t cover it very well. Josh’s original Flow post is- Grabbing an error message from a failed run.

Azure Logic Apps 101 - Developer tools: what are my options (Part I)

In this three-part blog postseason, we will describe the different development tools that are available or the different development approaches that we can use to create how Logic Apps. And for each approach/tool, we will describe: First of all, and rephrase Microsoft description: Azure Logic Apps is a cloud service that automates the execution of your business processes or workflows (sequence of tasks that produce a specific outcome).

Orchestrating Serverless Microservices in Azure with Durable Functions

Microservices architecture is getting adopted extensively in the world of distributed applications. There are various options and frameworks available to implement the Micro Services, e.g., Azure Service Fabric, Azure Kubernetes Services, Azure Functions, etc. The hottest trend these days seems to be serverless. The promise of consumption-based pricing, where you only pay for what you use and nothing more, is enticing.

Getting Started with Azure Cosmos DB Using .NET SDK

Any application built today is expected to be highly responsive, highly available, and required to adapt to enormous changes in real-time at peak business hours, store ever-increasing volumes of data, and make that stored data available for users a fraction of seconds. To achieve such low latency and high availability, you need to deploy these applications’ Instances in data centers that are close to their users.