Technical articles on stream processing, Apache Flink, architecture, and the internals that power real-time data platforms.
How a one-line connector swap silently poisoned a savepoint, why raising heap memory only bought time, and what it took to cut the stale state out.
From Kappa to Lakehouse and now Streamhouse, explore how each help address modern data challenges and unlock unified batch and stream processing systems.
Learn about Streamhouse, a data processing pattern that combines real-time stream processing with the structured nature of data warehouses.
