Modernizing Flink

**A few special notes from AWS Floor 28: Please make sure to bring a photo ID. Additionally, please do not bring personal weapons of any kind into Floor 28.

📅 Mark your calendars for November 4th!

Join us at the AWS Floor 28 space for our next Apache TLV Meetup featuring expert talks from Forter and AWS. Dive into how Apache Flink is transforming and modernizing microservice and data lake architectures through real-time processing. Network with fellow Flink enthusiasts over delicious pizza and beer!

We’ll cover:

• Transitioning from batch to stream processing
• Building event-driven microservices with Flink
• Real-world use cases

Whether you’re a data engineer, architect, or developer, this session is packed with insights on leveraging Flink for real-time architectures!

Agenda

5:30 PM - 5:55 PM: Arrival, Networking, Pizza and Beer

5:55- 6:00 PM: Welcome & Introductions - Itamar Syn-Hershko and Maya Avitan, Organizers, Apache Flink TLV

6:00 PM - 6:30 PM: From Batch to Stream: Accelerating Insights with Apache Flink - Sofie Zilberman, Sr. Analytics Specialist Solutions Architect, AWS
In this session, we’ll explore how organizations can successfully transition from batch to stream processing using Apache Flink. Sofie will walk through the challenges of moving to real-time data processing and how Flink's scalable integrations enable faster insights and operational efficiency. Learn how to leverage Flink’s real-time capabilities to optimize data pipelines and improve decision-making in dynamic environments.

6:30 PM - 7:00 PM: Modernizing Event-Driven Data Pipelines with Apache Flink - Barak Bar-On, Data Engineer, Forter
In this session, we’ll explore how Forter modernized its high-scale event streaming pipelines using Apache Flink. Barak will walk through the challenges of managing continuous data flows across multiple services, and how Flink enabled the development of a scalable, resilient, and efficient platform. Learn how Forter built an internal product that empowers teams to seamlessly persist data to various destinations, improving operational efficiency and flexibility in real-time processing.

7:00 PM - 7:30 PM: Networking, Wrap-up