Next, I added Kafka to the chat application architecture in order to improve scalability and reliability. Kafka is a distributed event-streaming platform, allowing techniques for distributed messages on servers. Messages sent via Socket. Into Kafka: Kafka streams and topics Therefore, all messages from socket.io is now published into Kafka topics with durability and fault tolerance guarantee.
Backend has been modified to add Kafka producers to publish messages and consumers to process those messages. This means messages can be reliably distributed and stored, and even survive high traffic or server outages. More so that, we can use Kafka in a way that also allows us to plug and play certain features: imagine analytics where we process the chat data, for example. Kafka decouples the real-time messaging logic from the storage and processing layers, ensuring that the app can scale easily and maintain performance as the user base grows. This is a critical step towards making the app enterprise-ready and able to scale up for large-volume traffic without breaking a sweat.
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