Event-Driven Microservices with Kafka

In todays world, building services that are fault tolerant, scalable with the ability to process data real time is super critical. As we increasingly embrace data-driven architectures, effectively managing real-time data has become not just important for businesses to thrive but absolutely essential, both for sustaining operations and surpassing expectations. This is where Kafka comes in. Kafka has become the go-to for companies dealing with huge volumes of streaming data. With its distributed streaming platform, Kafka addresses the needs of organizations by offering robust solutions to real-time analytics and data pipelines. For complex systems with multiple sources systems and target systems, Kafka helps to decouple the data streams so that the data is readily available for the target systems We will dive into various patterns/use-cases and best practices to harness Kafka's capabilities to the fullest.