Writing a Kafka Streams application is only the first step for your event driven applications. Eventually, you will deploy and tune your applications with different goals in mind (throughput, latency, robustness, high availability, you name it). To run and configure your applications efficiently, it is paramount to understand the internal architecture, and the dependencies and interactions of the different internal components. Otherwise, you end up with a trial-and-error approach that is cumbersome, potentially frustrating, and for sure not fun.
In this talk, we will explore the internal architecture of Kafka Streams to set you up for successfully running and tuning your applications. -- What does the internal threading model look like? How are partitions assigned and mapped to tasks? Why are there multiple internal consumers? What are the most important/interesting configurations and how do they interact with each other? -- Those are just a few questions we will answer in this session, enabling you to run and tune your applications in record time!
ABOUT CONFLUENT
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion - designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.
#confluent #apachekafka #kafka
7 ноя 2023
