Reactive Apps, in Real-time

In our pursuit of developing real-time reactive applications, Rx.js has proven to be an invaluable tool. Its functional reactive programming paradigm enables us to handle asynchronous data streams with ease, facilitating the creation of dynamic and responsive user interfaces. By leveraging Rx.js, we've been able to orchestrate complex data flows and manage state in a declarative and composable manner, empowering us to deliver engaging real-time experiences for our clients.

Websockets have emerged as a fundamental technology for enabling real-time communication between clients and servers. By establishing persistent, bidirectional connections, websockets facilitate instantaneous data transmission, making them ideal for building reactive applications. We've embraced websockets as a foundational tool, harnessing their capabilities to deliver seamless and interactive user experiences that keep pace with the evolving demands of our clients.

With its distributed messaging system, Kafka, has opened new possibilities for building real-time reactive applications. While our focus primarily lies in frontend development, we recognize the importance of efficient data processing and event streaming in achieving responsiveness. By integrating Kafka into our architecture, we've gained access to scalable and fault-tolerant message queuing, enabling us to handle high volumes of data and deliver timely updates to our clients' applications.

Avro, with its efficient data serialisation capabilities, complements our efforts in building real-time reactive applications. We have built Node.js serialisers for Avro and use alongside Kafka in large clusters of microservices. By adopting Avro's schema-based serialization, we've improved data interoperability and reduced overhead, ensuring efficient communication between components of our applications and enhancing overall responsiveness for our clients.