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In any robust messaging architecture, handling transient failures is crucial. Messages in Azure Service Bus might fail processing for various reasons—a downstream API is temporarily unavailable, a database is busy, or a network glitch occurs. While S...

In my previous article, we discussed why Azure Service Bus is the best option for our banking funds transfer functionality. We also discussed the product definitions and architectural perspectives for our use case. In this article we cover how to imp...

In modern cloud applications, different components or microservices often need to talk to each other asynchronously. A common and scalable solution for this is a message broker. Azure Service Bus is one such enterprise-grade message broker offered by...

Introduction Imagine this, you are a solutions architect and you have been tasked with developing a cloud native messaging architecture for your organization's application. Normally, the existing application uses Kafka, RabbitMQ or even ActiveMQ. But...

One of the best ways to understand cloud-native architecture is by building and deploying a real app yourself. In this post, you’ll clone a ready-to-deploy microservices demo app from GitHub and run it on Azure Kubernetes Service (AKS) — using two me...

A guide to monitor your Azure Service Bus–powered microservices with Azure Monitor and automatically scale out consumers under peak load. 🔍 1. Why Observability and Auto-Scale Matter 🕵️ Real-Time Insights Know instantly how many messages are que...

Microservices have transformed the way we design systems: small, focused services delivered and scaled independently, eliminating bottlenecks and enabling agile releases. To keep these services decoupled yet connected, you need a reliable messaging b...
