Building With Fluss: Real Use Cases and Patterns

Flink Forward Barcelona 2025 was a big week for streaming and the streamhouse.

I sat down with Jark Wu, Staff Software Engineer at Alibaba Cloud, and Giannis Polyzos, Staff Streaming Architect at Ververica, to talk about Apache Fluss and what is coming next.

First, a quick primer. Fluss is built for real-time data at scale. It sits cleanly in the broader ecosystem, connects to the tools teams already use, and focuses on predictable performance and simple operations.

What stood out in our chat:

• Enterprise features that matter

Security, durability, and consistent throughput. Cleaner ops, stronger governance, and a smoother path from POC to production.

• Zero-state analytics

They walked me through how Fluss cuts network hops and lowers latency. Less shuffling. Faster results. More efficient pipelines.

• Fluss 0.8 highlights

Better developer experience, more stable primitives, and upgrades that help teams standardize on one streaming backbone.

• AI-ready direction

Vendors are shifting to AI. Fluss is adapting with functions that support agents, retrieval, and low-latency model workflows without bolting on complexity.

• Streamhouse alignment

The new capabilities strengthen Fluss in a streamhouse architecture. One place to handle fast ingest, storage, and analytics so teams do not stitch together five systems.

We also covered the roadmap. Expect continued work on latency, cost control, and easier day-two operations, plus patterns that large teams can repeat with confidence.

Want to get involved

Join the community, review the open issues, try the latest builds, and share feedback from real workloads. That is how this moves forward.

The full conversation with Jark and Giannis is live now on The Ravit Show.

#data #ai #FlinkForward #Flink #Streaming #Ververica #TheRavitShow