Flink Forward San Francisco is around the corner (April 9-10) and we’re excited to meet the Apache Flink users, committers, experts, and everyone who is interested in stream processing. If you haven’t signed up yet, register soon to save your spot.
This post highlights sessions about managing continuous applications with Flink.
- Shuyi Chen and Rong Rong will share how the team at Uber built the Flink As a Service platform to support their stream processing use cases. They will also discuss how they scale the platform to support Uber’s business real time, and their experience running the platform in production.
- Gregory Fee will talk about how the team at Lyft is bootstrapping programs in Flink to ensure the completeness of results of the real-time stream computing.
- Jowanza Joseph from One Click Retail will walk through the process of making Flink Cloud Native. He will introduce the benefits of Cloud Native Flink such as distributed tracing, log aggregation, service mesh capabilities and new patterns of exposing Flink’s APIs.
- Seth Wiesman from MediaMath will share best practices for writing well tested streaming applications suitable for working with stateful operators and for validating against failure.
- Andrew Torson will present a toolkit that extends Flink metrics based on a real-world production use case of computing retail merchandise prices real-time for the Walmart Labs e-commerce catalog.
See the full lineup of sessions and speakers and join us in San Francisco!