Name: Real-Time Data at Scale
Start: 2025-09-17T18:00:00+03:00
End: 2025-09-17T21:00:00+03:00
Location: The Brain Embassy TLV

Join us for an evening packed with real-world lessons and cutting-edge strategies in streaming, low-latency processing, and high-volume infrastructure. Hear Confluent share proven patterns for mastering data streams, and learn how IntentIQ scaled billions of daily requests while keeping speed and accuracy intact. Whether you’re tackling scale today or preparing for tomorrow’s challenges, this meetup will leave you with practical insights and inspiration from the front lines.

**Agenda:**

**18:00-18:30 - Welcome drinks and networking**

**18:30-19:00 - The Power of Real-Time: Speed, Scale, and Zero Compromise**
*Oshrat Ben-Avi Zabludovitz, Israel Country Manager, Aerospike*

Discover how modern data platforms are designed to power mission-critical applications at massive scale. We’ll explore how hybrid memory architecture, high-throughput secondary indexing, and cross-data-center replication enable consistent sub-millisecond performance, five-nines availability, and efficient real-time processing. The session will also cover architectural patterns for handling petabyte-scale data, millions of TPS, and globally distributed workloads, delivering both the reliability engineers demand and the speed businesses need.

**19:00-19:30 - Stream All the Things - Patterns of Effective Data Stream Processing**
*Adi Polak - Director, Advocacy and Developer Experience Engineering, Confluent*

Data streaming is a really difficult problem. Despite 10+ years of attempting to simplify it, teams building real-time data pipelines can spend up to 80% of their time optimizing it or fixing downstream output by handling bad data at the lake. All we want is a service that will be reliable, handle all kinds of data, connect with all kinds of systems, be easy to manage, and scale up and down as our systems change.

Oh, it should also have super low latency and result in good data. Is it too much to ask?

In this presentation\, you’ll learn the basics of data streaming and architecture patterns such as DLQ\, used to tackle these challenges\. We will then explore how to implement these patterns using Apache Flink and discuss the challenges that real\-time AI applications bring to our infrastructure\. Difficult problems are difficult\, and we offer no silver bullets\. Still\, we will share pragmatic solutions that have helped many organizations build fast\, scalable\, and manageable data streaming pipelines\. \|

**19:30-20:00 - Speed, Low Maintenance and Lower costs: Having It All**
*Eden Rosenthal, R&D Team Leader, IntentIQ*

In the fast-paced world of ad tech, handling billions of requests a day isn’t just about speed - it’s about keeping systems scalable, maintainable, and cost-efficient.

For years, IntentIQ had to maintain performance at a significant expense and operational complexity.
In her session, Eden will share the core challenges they faced and how moving to Aerospike enabled them to scale efficiently and unlock new capabilities with minimal effort.

20:00-21:00 - **Networking**

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Real-Time Data at Scale

The Brain Embassy TLV

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Real-Time Data at Scale

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