Developers are increasingly drawn to Functions-as-a-Service (FaaS) offerings provided by major cloud providers such as AWS Lambda, Azure Functions, and GCP Cloud Functions. The Cloud Native Computing Foundation (CNCF) has estimated that more than four million developers utilized FaaS offerings in 2020. Datadog has reported that over half of its customers have integrated FaaS products in cloud environments, indicating the growth and maturity of this ecosystem.

With the dawn of microservices and serverless, event-driven architectures have become the way to go when building a new system in the cloud. This approach has allowed for greater scalability, as the system can easily adapt and respond to changes in traffic or demand without having to overhaul the entire architecture. Additionally the Event-driven approach means your application is mainly concerned with routing event data to the right services.

Enterprise use of Microsoft’s Azure Cloud Services is expanding at an unprecedented rate as cloud computing usage expands. However, enterprises that have recently switched to Azure continue to have serious concerns about monitoring their applications efficiently. As the business overgrows, it is essential to understand its functioning and health simultaneously.

In modern times, building and publishing an application has become very easy with Cloud-based deployment. Users don’t need to worry about infrastructure-related challenges like availability, reliability, scalability, etc. The cloud providers are responsible for keeping the deployment flow simple and intact. Providing many advantages and coherence, the high cost incurred for such benefits is the downside.

Microservices architecture (often shortened to microservices) is an architectural style for developing applications. Microservices allow a large application to be separated into smaller independent parts, each having its own realm of responsibility. To serve a single user request, a microservices-based application can call on many internal microservices to compose its response. It is critical to track failures in microservice to take corrective actions and keep the business process ongoing.

Azure AD app registration identities are used to provide access to specific resources in Azure. We use some App Registrations in Azure, for example, the security concerns, many organisations dislike enabling users to build Azure Active Directory (AAD) and Service Principals (SP). Building a manual process, on the other hand, might be a bottleneck and a time sink. However, you can build an Office365 form for users to request AAD application registration.

In this blog, we will explore how distributed tracing works in Application Insights and how to use it to diagnose the issues in a distributed application. Azure Application Insights is a powerful tool for monitoring and diagnosing application performance issues and supports distributed tracing. It is an extension of Azure Monitor and provides Application Performance Monitoring features out of the box.

Instrumenting your code is essential to understanding your system’s performance and diagnosing issues as they arise. Traditionally, this was accomplished using proprietary vendor libraries, causing major lock-in. Enter OpenTelemetry. OpenTelemetry is an open-source project that provides a set of APIs, SDKs, and integrations for instrumenting code.

Today I’m going to speak about another important Best practice, Tips and Tricks that you need to consider while designing and enhancing your business processes (Logic Apps): The if() expression function.