Jun Qin

Apache Flink is a generic distributed stream processing framework. It powers many different industry use cases and provides real-time insights for making quick business decisions.

Exactly-once processing capability is crucial for any stream processing framework. Apache Flink provides end-to-end exactly-once streaming processing with a wide range of source and sink connectors, including Kafka.

When running Flink jobs, skew is a common problem that results in wasted resources and limited scalability. In the past years, we have helped our customers and users solve various skew-related issues in their Flink jobs or clusters.

Apache Flink is well known for its low latency stream processing capability. However, achieving good performance requires Flink application developers and cluster administrators to avoid using application patterns or settings that increase average or worst-case latencies.