Operations | Monitoring | ITSM | DevOps | Cloud

Today’s applications are expected to be highly responsive and always online. Such circumstances excite the pressure on applications to respond in real-time to large changes in usage at peak hours, store ever-increasing volumes of data and make it available in milliseconds. Azure Database Services comes to rescue in such situations, and Azure supports many industry-standard databases and APIs.

Over the past few years, Microsoft Azure has seen tremendous growth, and many new enhancements have improved user productivity. To keep users well informed about their resource status and availability, Microsoft has also been actively working on various monitoring capabilities.

Data sources ingest data in different sizes and shapes across on-premises and in the cloud, including product data, historical customer behaviour data, and user data. Enterprise could store these data in data storage services like Azure Blob store, an on-premises SQL Server, Azure SQL Database, and many more. This blog will highlight how users can define pipelines to migrate the unstructured data from different data stores to structured data using the Azure ETL tool, Azure Data Factory.

There is no doubt that organizations have a difficult task to address the current requirements for building and managing APIs, especially if they don’t use tools like API Management. APIs require up-to-date and strong documentation, increased security levels, comprehensive testing, routine versioning, and high-reliability to be appropriately utilized.

There is no doubt that organizations have a difficult task to address the current requirements for building and managing APIs, especially if they don’t use tools like API Management. APIs require up-to-date and strong documentation, increased security levels, comprehensive testing, routine versioning, and high-reliability to be appropriately utilized.

You may be thinking, hey Sandro, what the hell? That is basic information and a straightforward task. Why do you want to write about that? Indeed it is, and you are right that it is an effortless and straightforward operation, at least at first glance. But like most things, nothing is that simple if you look closer. But let me explain better. Let’s imagine that we have an API call MoniorBizTalkPorts.

Due to rapid cloud adoption and with never-ending user requirements, the Azure architecture might become complex and you might eventually lose sight of the overall cloud estate and how it relates to each other. Since the Azure portal was designed in a technology vertical silo and it has near zero application visibility, it is not possible to monitor them as a business application in the Azure portal.

It has been a while since I wrote about this topic. I didn’t finish this blog series for several reasons, and now, one year later, it is the right time to continue this story. In the first part of this blog series, I have explained how you can expose a Logic App in API Management. It is a straightforward and simple process. Microsoft did a great job on this user experience.