Recently we launched features to provide support for Log Analytics in Serverless360. Log Analytics workspaces are used by a lot of different features within the Azure Monitor stack and by providing the ability to link a Log Analytics Workspace to a Business Application in Serverless360 we see that it provides a way you can allow a support user the ability to view and run queries against your log data without needing to be an Azure Expert.

The year 2021 has ended, and we are now entering 2022. Last year, Microsoft released a few new Azure services and updated others. This blog post will discuss the most exciting cloud integration-related updates and releases.

Recently we launched features to provide support for App Insights in Serverless360. App Insights is one of the coolest features on Azure because it can integrate so easily with many different features such as: In Serverless360 our core principle is to democratize the support experience for your application.

In a previous article, we talked about how you could use BAM to do advanced management of dead lettered messages on the Azure Service Bus using a scenario like below. This article will show how you can set up this kind of example. Let’s assume your Order Processing functions are already in place, and your starting point is that sometimes you will get dead-lettered messages, and we need to implement the Send message to the BAM logic app and configure Serverless360.

This blog is a write up on one of the best webinars hosted by Serverless360, “Building a frictionless Azure Support Workflow”, presented by Michael Stephenson. In this session, Michael Stephenson, Microsoft Azure MVP, who has extensive experience coaching organizations to adopt Microsoft Azure successfully, will walk us through the Serverless360, highlighting the product capabilities to address the business challenges from an operational and support perspective.

This blog is the continuation of the blog “Get the best out of Azure Data Factory – Part 1“. It explains how Serverless360 addresses the pain points and enhances the usage of Azure Data Factory. Serverless360 is a single platform solution that enables Operations and Support Teams to manage and monitor Azure Serverless services more efficiently. Let us have a quick recap of part 1 before looking into new features that Serverless360 provides for Azure Data Factory.

Azure Data Factory is a cloud-based data integration service that allows you to orchestrate and automate data movement and transformation using cloud-based data-driven workflows. It provides a cost-effective solution whenever a dependable code-free ETL tool on the cloud with numerous integrations is required. This blog will highlight how users can use Serverless360 to manage and monitor multiple Azure Data Factories with different pipelines. Azure Data Factory consists of a variety of components like.

Starting building Logic Apps thru the Azure Portal is, without a doubt, the most intuitive and fast approach. It doesn’t require any additional tool or software, it doesn’t require a Visual Studio license, and almost all beginner tutorials or documentation use this approach. And finally, all types of users are familiar with the Azure Portal. But not everything is perfect, and one of the most difficult best practices to implement is a proper API Connection naming convention.

In the real world, when we implement systems, there are often many kinds of users, such as super business users and some level 1 support technicians who understand the application domain and can support a lot of your applications. Still, due to limited skills and experience with Azure, they are constrained to how much of the application they can help. A great example of this is when you have a solution that uses Azure Service Bus.

Cloud adoption has got a tremendous uptrend as never before. The World pandemic has made startups, and enterprises move their legacy systems into Cloud to cut huge infrastructure maintenance costs. According to Gartner, cloud spending is forecasted to increase 23.1% at $332.3 billion in 2021 from $270 billion in 2020. We can even see enterprises using BizTalk servers moving to the Azure Cloud for better maintenance and features that confirm the above forecast.