In this blog post, I would like to discuss achieving end-to-end correlation across Logic Apps, a need to have a solution while dealing with an Enterprise application involving multiple Logic Apps. Let us understand the concept with the help of a real-time scenario.

This blog will explain the Azure Data Explorer, its core concepts, and a few of its significant features. As the data generated by enterprises is growing day by day, data strategists are looking for more effective techniques to handle a massive volume of diverse data. With all these requirements, there emerges a need for a service that can collect, store, and analyze data with optimal performance. Let us see how Azure Data Explorer addresses these requirements.

Consider an E-Commerce Application with millions of users, built with various microservices. Since these microservices are decoupled, highly scalable, the communication and data sharing should be more reliable and seamless for business continuity. Here comes the Enterprise Service Bus technology. An enterprise service bus implements a communication system between mutually interacting software applications in a service-oriented architecture (SOA).

In recent years, businesses innovate and migrate at a faster pace by using Microsoft Azure cloud-native technologies. Azure Integration Services, an industry leading Integration Platform as a Service (iPaas) provides multiple offerings like Logic Apps, Service Bus, API Management, Event Grid, Azure Functions & Data Factory to meet application integration scenarios. Azure Logic Apps gaining good interest with more than 40,000 customers using it.

In business-to-business (B2B) solutions and seamlessly creating communication between organizations, establishing a standard format to create communication across different services and enabling the security trust fact across various services is the most challenging parameter to achieve. But today, you can build automated, scalable enterprise integration workflows by using the Enterprise Integration Pack (EIP) with Azure Logic Apps at ease.

In the fast-growing Azure world, the significant need for organisations would be productivity. Any enterprise that invests in a tool for their serverless needs aims for optimised management, which boosts productivity. This article will explain how to increase productivity while having a critical resource like Azure Storage, which is essential for organisations with their business developed in Azure. For an effective performance for such substantial resources, optimised management is mandatory.

For the people using Azure Service Bus namespaces – we often have the need to ensure the Azure Service Bus Performance by testing our system integration by generating some test messages on the Azure Service Bus resources. You might need this for QA/Development for performance testing, load testing etc. This blog will explain how to simulate the test environment using Serverless360 to check Azure Service Bus performance and its throughput.

Towards the end of 2016, it all started with developing a simple platform to manage Microsoft Azure Service Bus namespaces. The then classic Azure portal had limited capabilities to manage Azure Messaging resources like Service Bus Queues and Topics. Paolo Salvatori developed and managed a community tool called Service Bus Explorer. We identified that there are some challenges or limitations in managing and monitoring Azure Messaging resources using the above two.