Overview
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Explore advanced optimization strategies for Apache Flink in this 40-minute conference talk that delves into achieving ultra-low latency performance in real-time data processing applications. Learn field-proven techniques for tuning resource allocation and parallelism to maximize efficiency, while discovering how to select and configure optimal state backends that balance speed with durability requirements. Master the art of optimizing network buffers and data exchange mechanisms to minimize processing delays, and develop skills to identify and eliminate hidden bottlenecks that compromise real-time application performance. Gain practical knowledge on measuring latency and throughput effectively to guide continuous improvement efforts, with insights drawn from production environments where ultra-low latency at scale is critical. The session covers tuning frameworks and optimization methodologies that go beyond default Flink settings, providing actionable strategies to build stream processing applications that deliver true real-time performance for demanding use cases.
Syllabus
[AI + Stream Processing] The Need for Speed: Optimizing Flink for Low-Latency Stream Processing
Taught by
StreamNative