EIP – Message Splitter

Enterprise Integration Patterns (EIPs) provide a well-established vocabulary and set of design guidelines for building cohesive and scalable messaging architectures. The Splitter Router pattern, a fundamental component of EIPs, plays…

Comparative Analysis of Azure SQL Data Sync and Read-Only Replicas in Database Management

Azure SQL Database and Azure Database for PostgreSQL offer two primary data replication solutions: Azure Data Sync and Read-Only replica. While both services facilitate data replication, they serve distinct purposes…

EIP: Message Gateway Pattern

In the realm of enterprise system integration, the Message Gateway pattern plays a pivotal role in streamlining communication between disparate systems. This article delves into the essentials of the Message…

Private Link vs. Azure Firewall DNAT

Utilizing Azure Private Link and Azure Firewall with DNAT presents distinct approaches to accessing web apps, balancing between security and exposure. Private Link emphasizes utmost security and simplicity, ensuring no…

Hub & Spoke Reference Architecture

This is a simple reference architecture for an Azure Hub and Spoke infrastructure.

Idempotent Receivers EIP

An idempotent receiver is a message receiver that ensures that the processing of a message is executed only once, even if the message is received multiple times. This is useful…

Control Bus Architecture EIP

A Control Bus (CB) is a messaging architecture that enables enterprise integration by facilitating the exchange of control messages among different systems and applications. It acts as a mediator between…

Polling Consumer EIP

A polling consumer design pattern is a software architecture pattern commonly used in messaging systems, where a client application polls a message queue or a data source periodically to check…

Differences between AMQP 1.0 vs. 0.91 Protocol

AMQP 1.0 (Advanced Message Queuing Protocol) is an open-source, binary wire protocol designed to provide a messaging backbone for distributed applications. It is designed to provide reliable, secure and robust…

MapReduce for Distributed Indexing

MapReduce is a programming model commonly used within the Hadoop framework to access big data stored in the Hadoop File System (HDFS). It consists of several phases: Map phase, Shuffle…