Stream Forward Boston
- One day talking. One day doing.
- Real use cases.
- Real outcomes.
- No pitches. No filler.
One day of practitioner talks. One day of hands-on training. Seven cities across Europe and North America. Engineers, architects, and business leaders who run Apache Flink® in production.
What Is Stream Forward
Conference
Stream Forward takes place in cinemas across Europe and North America. Talks delivered on the big screen. Sound that fills the room. An experience designed to match the scale of what's being built.
The format: short, dense talks from engineers and business leaders who run these systems in production. Architecture deep dives alongside boardroom outcomes. No theory without numbers. No pitches. No filler.
NETWORKING
Networking runs after the conference at each city, with drinks and food in the venue foyer. The people in the room are engineers with production systems, product leaders with real decisions to make, and practitioners with no obligation to stay on message. Conversations that continue long after the credits roll.
X-Stream Lab
The day after the conference, X-Stream Lab runs at the same venue. Free. Hands-on. Guided by Ververica engineers. You build working applications with Apache Flink and leave with something real.
TWO DAYS.
TWO FORMATS.
ONE COMMUNITY.
The Main Feature Practitioner talks. Business use cases. Architecture deep dives. War stories from production. A panel discussion. Networking. Doors open at 08:30. Talks run from 09:00 to 17:00. Networking and drinks follow until 19:00. One ticket. One city. Full day access. Lunch included.
What Gets Covered
Sessions address the real challenges and the real opportunities of building on Apache Fluss.
Client Stories. From Data to Decisions
The companies that have transformed their business with real-time data. What they built, what they learned, and what became possible that wasn't before. Retail, finance, logistics, media. The industries are being reshaped by the Streamhouse.
Apache Flink at Scale
State management, checkpoint tuning, backpressure debugging, job graph optimization. The operational knowledge that takes years to accumulate.
Real-Time AI
Feature pipelines, model serving over streams, and online inference patterns. Where stream processing and AI intersect and how companies are turning that into a competitive advantage.
Streamhouse Architecture
Unified streaming and lakehouse design. Flink as the compute layer. Fluss as real-time storage. Paimon as the historical tier. Why Streamhouse is becoming the backbone of modern data strategy and what it means for your bottom line.
Migration and Modernization
Moving from batch to streaming. Replacing legacy ETL. The patterns that reduce migration risk and accelerate time to value.