As real-time data processing becomes crucial for modern enterprises, building resilient and fault-tolerant Apache Flink applications is crucial. This presentation explores the foundational and advanced strategies for ensuring high availability, reliability, and disaster recovery in Flink environments.

We begin by demystifying Flink's checkpointing mechanism, its role in fast failure recovery, and common pitfalls to avoid. Beyond checkpointing, we delve into high-availability architectures, from active-passive to active-active setups, and their impact on system robustness. Finally, we present Bloomberg's solution for Kubernetes multi-cluster failover using Karmada, which not only allows it to failover workloads but also resume them with their state intact – further improving application resiliency.

By the end of this talk, attendees will gain actionable insights to build resilient, fault-tolerant Flink applications that can withstand real-world disruptions.