Stream Forward Erlangen
One day talking. One day doing. No pitches. No filler.
This event is free to attend! We created it to bring the community together to meet, share ideas, and learn from each other.
Stream Forward is a practitioner conference for the people who actually run Apache Flink® in production. Engineers, architects, and business leaders gather to share what works, what broke, and what became possible with real-time streaming data.
Talks on the big screen, sound that fills the room, an experience built to match the scale of what's being built. Expect short, dense talks: architecture deep dives alongside boardroom outcomes. No theory without numbers.
What gets covered
Client stories: from data to decisions across retail, finance, logistics, and media
Apache Flink at scale: state management, checkpoint tuning, backpressure debugging, job graph optimization
Real-time AI: feature pipelines, model serving over streams, online inference
Streamhouse architecture: Flink as compute, Fluss as real-time storage, Paimon as the historical tier
Migration and modernization: moving from batch to streaming, replacing legacy ETL
Day 1. The Main Feature
Practitioner talks, real business use cases, architecture deep dives, war stories from production, and a panel discussion. Doors open at 08:30. Talks run 09:00–17:00. Networking with drinks and food follows until 19:00.
AGENDA
08:30–09:00 Doors open, registration, and coffee
09:00–09:15 Welcome to Stream Forward
09:15–09:55 Keynote: From Your Money to Your Health: When Real-Time Data Can’t Fail
09:55–10:30 Siemens Healthineers Talk
10:30–10:45 Coffee break
10:45–11:10 Zalando Talk
11:10–11:35 T-Systems Talk
11:35–12:00 Uniper Talk
12:00–13:00 Lunch
13:00–13:35 Ferris.ai Talk
13:35–14:10 Axual Talk
14:10–14:45 Steadforce Talk
14:45–15:00 Audience Q&A with the afternoon speakers
15:00–15:15 Coffee break
15:15–15:50 Hivemind Talk
15:50–16:50 Panel discussion and audience Q&A
16:50–17:00 Closing remarks
17:00–19:00 Evening reception
Your free ticket includes the full conference program, X-Stream Labs, lunch, and the evening reception with food and drinks.
Day 2. X-Stream Lab
Hands-on training guided by Ververica engineers. Small groups, whiteboard sessions, and real code. You leave with a working application.
BRING YOUR LAPTOP FOR THE X-Stream EXPERIENCE
AGENDA
08:30 – 09:00: Doors Open, Registration & Coffee
9:00 – 13:00: X-Stream Lab - Building a Streamhouse™ with Apache Flink®, Fluss™ and Iceberg™
Real-time and historical analytics usually live in separate systems, connected by pipelines that are costly to build and hard to keep consistent. A Streamhouse combines them into one architecture. In this hands-on workshop, you’ll build one end to end. Apache Flink handles stream processing, Apache Fluss serves as the real-time storage layer, and Apache Iceberg provides the open lakehouse format for long-term analytics.
The workshop follows an e-commerce order analytics scenario. You’ll use Flink SQL to ingest order events from Kafka and product data from PostgreSQL, enrich them in real time, and store the results in Fluss for sub-second access. Fluss then tiers that data automatically into Iceberg. You can query fresh and historical data together as a single table from Flink, or query the Iceberg tables from other engines such as Trino.
By the end, you’ll understand how these components fit together to serve both operational and analytical workloads on a single, unified data foundation.
Prerequisites: basic SQL and a laptop
13:00-14:00: Lunch
Organized by Ververica the team that founded Apache Flink and continues to push the boundaries of real-time data infrastructure.