Managing information flow between distributed system components is a significant challenge. In environments where multiple services and applications must communicate reliably and efficiently, ensuring that data reaches its intended destination on time and with delivery guarantees is critical.
In this context, Apache Kafka stands out as a robust and scalable solution. Kafka is a distributed streaming platform that enables publishing, subscribing, storing, and processing of real-time data streams. Its architecture (based on distributed logs) provides high fault tolerance, consistent performance, and the ability to handle large volumes of data. This makes Kafka ideal for applications that require asynchronous communication, real-time processing and seamless integration across multiple systems.
Organizations that adopt Apache Kafka enhance the reliability of their data exchange and build more flexible and resilient data pipelines—an essential capability in modern, event-driven architectures.
This session will cover the following topics: