Optimization of Latencies in Kafka Using eBPF

The article discusses the results of a performance analysis of Apache Kafka, a popular streaming tool that has gained traction in recent years. The authors investigate various factors that impact the performance of this system to identify both strengths and weaknesses in real-world use cases. The analysis includes tests with different configurations aimed at better understanding how Kafka handles load. Various metrics such as throughput, latency, and resource utilization are employed, providing a comprehensive view of its performance. The piece concludes with future recommendations that may assist developers in optimizing Kafka-based systems. It also emphasizes the importance of continuous monitoring and testing to maintain applications' performance at a high level.