The Streamhouse And Lakestream With Apache Fluss
Shared tables for streaming, serving and analytics
The Fluss Blog.
Engineering, ideas, and stories from the streaming frontier.
31 articles
Announcing Apache Fluss 1.0: Real-Time Data Foundation for AI
Fluss 1.0 strengthens the real-time data foundation for AI with Fluss Gateway, native clients, and deeper streaming and lakehouse integration.
From Kafka to Fluss: How Rednote Migrated a Core Real-Time Indexing Pipeline
A production case study in columnar streaming, cold-data isolation, and lakehouse integration.
Apache Fluss Graduates to a Top Level Project
Apache Fluss graduates to a Top-Level Project, marking a milestone in community growth and the evolution of real-time Lakehouse infrastructure.
Tiering Service Deep Dive Part 3: In Production
Run lake tiering in production: identify failure modes, avoid deployment pitfalls, and monitor the signals that reveal operational health.
Tiering Service Deep Dive Part 2: Tuning
Tune lake tiering with a practical guide to parallelism, table types, freshness, multi-table scheduling, and scaling out tiering jobs.
Tiering Service Deep Dive Part 1: The Mental Model
Follow a lake-tiering round from its timer to the committed snapshot, and understand the processes and table states that make it work.
The Storage Hierarchy: Hot, Remote, and Lake
Understand the Fluss storage hierarchy: what lives on local disk, in remote object storage, and in the Lakehouse, and how recovery works.
How Apache Fluss Achieves True Pruning in Streaming Storage
How Arrow IPC storage, server-side pruning, and client-side batching let Fluss read only the columns that streaming applications need.
Taobao Instant Commerce: Real-Time Decisions at Scale with Apache Fluss
How Taobao Instant Commerce uses Fluss for real-time decisions, from Delta Join and partial updates to lakehouse integration and UV statistics.
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