System design fundamentals have become more important than ever in the age of AI. Let’s review some of the most popular Kafka use cases today. Top 5 Kafka Use Cases Kafka was built for log processing, but now it has been used in other distributed systems for moving events reliably from one system to another. - The log thing is still where most teams start, though. Systems use Kafka for collecting logs from different services and then route them to tools like Elasticsearch and Kibana. - Kafka is also used for streaming user clicks, product events, and ML features that require recent data into tools like Flink. - Another use case of Kafka is to stream performance metrics and system events into monitoring and alerting systems so the teams can catch the issues early on. - Kafka can be used to record database changes into search indexes, caches, analytics tools, or replicated systems. - Kafka helps services to publish and consume events independently, instead of direct service-to-service calls. Are there any other use cases you have used Kafka for?