AI Briefing#apache-flink
The latest AI and developer news about #apache-flink, with the original source and a short summary.
The latest AI and developer news about #apache-flink, with the original source and a short summary.
The new Cassandra-based cold tier stores over 15 PB of data and reduces disk usage from 80% to 7% while maintaining sub-500ms p99 latency.
The new Flink-based pipeline processes hundreds of thousands of events per second during live events with negligible errors, eliminating single points of failure in ad serving.
IBM and Confluent have released the IBM Granite time-series foundation model in Early Access, operating within real-time streaming environments based on Apache Flink.
Netflix is transitioning to an open-source solution from the Apache Flink community to overcome the limitations of its in-house autoscaler.
Apache Flink and RocksDB tuning enabled real-time ad impression aggregation from 1 minute to 7 days.
Using Flink's KeyedProcessFunction, they implemented real-time event combination and zero-downtime deployment.
A method to narrow down Flink latency bottlenecks by separating processing time from non-processing time.
The integration with MySQL based on Flink CDC 2.4.1 applied step-wise Kafka topic separation and DDL security response logic.
Kakao's Data Analytics Platform team detailed their production implementation of Apache Flink CDC to minimize database load while ensuring real-time data consistency.
KakaoBank introduced ML models and a real-time pipeline to overcome the limitations of its existing Rule-based FDS.