Use Cases of Message Brokers

Here are some examples:

• Microservices Architecture: In addition, message brokers enable a microservices feature communication between services based on which independent scalability and evolution occurs on another component are possible without triggering service disruptions.
• E-commerce Platforms: The essence of message brokers meets in tackling multiple functions in an e-comerce platform, including order processing, inventory management, and notifications, which are meant to facilitate smooth communication among these different parts of the platform.
• Internet of Things (IoT): For successful functioning of IoT systems, message brokers which manage huge quantity of information coming from connected devices should be included in the system design so that real-time data processing, device managemet and integration with analysis and control systems can be achieved.
• Financial Services: For example, message brokers can play a critical role in financial services for activities like real-time trading, transaction processing and risk management. Successfully they will ensure the communication is seamless between trading platforms, market data delivery and order execution systems, with a possibility to achieve very low latency and a high throughput traffic.
• Log Processing and Analytics: Log brokers act as middlewares in log processing and analytics systems to collect data from their surroundings, combine it all and perform the analysis in real-time, catching the anomalies, and optimizing system performance. They are of the aid in the era of big data increased volume and variety of data.

A message broker is a key architectural component responsible for facilitating communication and data exchange between different parts of a distributed system or between heterogeneous systems. It acts as an intermediary or middleware that receives messages from producers (senders) and delivers them to consumers (receivers) based on predefined routing rules and patterns.