Is your team looking to bring the power of full, end-to-end stream processing with Apache Flink to your organization but are concerned about the time, resources or skills required? In this talk, Sharon Xie, Decodable Founding Engineer and Apache Flink PMC Member, Robert Metzger, will reveal the biggest lessons learned, and how to avoid common mistakes when adopting Apache Flink. If you have any plans on implementing Apache Flink, then this is a session you do not want to miss.
We will talk about avoiding data-loss with Flink’s Kafka exactly-once producer, configuring Flink for getting the most bang for the buck out of your memory configuration and tuning for efficient checkpointing.
Presenter
Sharon Xie
DecodableSharon is a Sr Staff Software Engineer at Decodable and leads the data platform development. She has been building and operating streaming data platforms for over 6 years with extensive experience of Apache Kafka, Apache Flink and Debezium. Prior to Decodable, she was a tech lead of the real-time data platform at Splunk focusing on the streaming query language and developer SDKs.
Presenter
Robert Metzger
DecodableRobert Metzger is a committer and PMC member at Apache Flink. Recently, he has focused on improving the deployment and operation experience of Flink, with a focus on autoscaling and generally working towards cloud native Flink. Robert Metzger is currently a Staff Engineer at decodable. He previously co-founded and successfully exited data Artisans (now Ververica), the company originally creating and commercializing Flink. He is a frequent speaker at conferences such as the QCon, ApacheCon and meetups around the world.