Kong × Apache Kafka® × Grafana

IMPORTANT PLEASE RSVP: https://www.meetup.com/grafana-and-friends-berlin/events/312736114/?eventOrigin=group_upcoming_events

🕐 Agenda

• 18:00 — Welcome & Snacks
• Doors open! Grab a slice, meet fellow community members, and get settled.
• 18:30 — Opening Remarks
• A warm welcome from the Berlin community and event partners.
• 18:45 — Tech Talks Begin

Talk 01: Keeping data private in real-time pipelines
Abstract
We all love real-time data — clicks, payments, rides, messages — but most of it comes with a catch: it often includes personal information we’re not allowed to leak, such as names, emails, locations, or subtle clues that can identify someone.

So how do we keep streaming data useful and safe at the same time?
In this talk, we’ll explore practical approaches to protecting privacy in streaming systems using Apache Kafka, Apache Flink, and Apache Iceberg. We’ll cover:

• Simple techniques like masking and tokenizing PII
• Why “anonymous” data often isn’t really anonymous (the re-identification problem)
• Privacy-preserving approaches such as bucketing, k-anonymity, and adding noise
• How to balance privacy and data utility (because over-hiding can make data useless)

### Talk 02: TBA

Details coming soon 👀

### Talk 03: TBA

Stay tuned for the announcement!