As Flink's adoption grows, we find more developers asking our small Flink infrastructure team for answers about whether their application will meet specific reliability guarantees. For example, can Flink maintain a data freshness guarantee lower than 5 minutes?

This session dives into how an age-old reliability technique can be applied to guide Flink platform and application developers who want to tune and monitor their Flink-based solutions and avoid over-promising and under-delivering for their users.

We present a calculator and step-by-step guide that we came up with to show what can be tuned to improve Flink application reliability. Throughout the session, we visualize failure probabilities by growing a Fault Tree in order to systematically find strengths and weaknesses with Flink.