Do you have a great streaming data story to share?
Talks about all aspects of streaming technologies, event-driven applications, real-time analytics, streaming architecture, Ai and ML in real-time projects, true use cases, and the management of mission critical Flink deployments and other real-time systems are welcome. We’re looking to fill tracks on Technology Deep Dives, Use Cases, Real-time Intelligence and AI, Use Cases, Customer Stories, Ecosystem and more. If you have something to share about data streaming, the diverse experts comprising the Program Committee would love to consider you for a speaker session on the Flink Forward stage!
Topics
Developing Real-Time Applications
All things related to building applications with streaming technologies. Development practices, testing, scaling, etc.
Real-Time Intelligence and AI
AI and ML is everywhere, and often powered by real-time streaming data. Talk about emerging trends , edge-based streaming architectures, agentic reasoning, real-time use cases and more.
Streaming Technologies
From introductory talks to technical deep dives about the state of the art in streaming.
Architecture
Integrations and connectors that, alongside a Flink deployment, create unique architectures for solving innovative use cases.
Use/Case Studies - Solution Story
How has streaming been used in your business? Why did they adopt it? What problems did it solve (or create)? What lessons did you learn that might help others on a similar journey?
Operations and Observability
Share your successes, learning opportunities, and experience with operating a streaming pipeline or streaming technologies, both in the cloud and on-premises.
Real-time Analytics
What uses does a real-time dashboard serve, and how are you building them? Do you even need data in really real-time for analytics?
Pipelines Done Right
Streaming ETL, Batch Pipelines, or everything in between!
Academia and Beyond
Have a history or theory lesson to share that include data streaming, applications of real-time data in academic studies, and more? Submit your talk for consideration!
Examples
Submit your ideas, perspectives, and thought-provoking discussions that will ensure attendees have both a good time and send them home better-informed and more capable than they came. Stand out by submitting relevant, creative, entertaining and engaging new proposals. Have a lot of ideas? We’re looking forward to seeing them all! Please submit a separate entry for each topic.
Here are some sample talk titles to demonstrate what we’re looking for:
Riding the Streams: Powering Stream Processing at Cash App with Ververica
Flink on Autopilot: How We Learned to Stop Worrying and Love the Autoscaling
Storm to Flink: Migrating Latency Sensitive Real-Time Streaming Applications with Zero Downtime
Real-Time Metrics Platform leveraging Flink SQL At DoorDash
Debezium Snapshots Revisited!
Kubernetes-like Reconciliation Protocol for Managed Flink Services
Real-Time Machine Learning at Scale with Flink at Lyft
Flink’s Pluggable Failure Handling: deal with streaming errors the smart way!
Apache Flink + Paimon: CDC data into the lake in near real-time
Consistently Hashing it Out: Embracing Fresher, Faster Data with the Hudi-Flink Support for the Bucket Index
