Pipelines, Privacy & the Collector Fleet: Real-Time Data Done Right Meetup
Berlin — Germany
When
10/15/2026, 4:00:00 PM
Where
Heidestraße 34, 10557 Berlin, Germany, Berlin, BE, Berlin, BE, de
About
Join us for an evening with two talks, one theme: data flowing at scale — and handling it responsibly.
From architecting your OpenTelemetry Collector fleet across edge-to-gateway topologies, to protecting PII in real-time Kafka pipelines — practical patterns, live demos, and a few privacy war stories along the way. Food and drinks on us — stick around after for networking.
✍️ RSVP soon — capacity is limited!
📅 Date and Time
Thursday, October 15, 2026 from 18:00-20:45
📍 Location
EBCONT office, beyond Quartier Heidestrasse, 34, 10557 Berlin
📝 Agenda
18:00 – Doors open, arrivals and check-in
18:20 – Welcome note by EBCONT
18:30 – Keeping data private in real-time pipelines by Olena Kutsenko, Confluent
19:00 – Q&A & quick break
19:15 – From Edge to Gateway: architecting your OpenTelemetry Collector deployment by Marcin "Perk" Stożek, Elastic
19:45 – Pizza, drinks & networking
First Talk: Keeping data private in real-time pipelines by Olena Kutsenko, Confluent
Real-time data — clicks, payments, messages — is full of personal information we're not supposed to leak. The challenge: how do we keep streaming data useful and safe at the same time?
We'll explore practical privacy protection patterns in streaming systems using Kafka, Flink, and Iceberg — from masking and tokenizing PII, to why "anonymous" data often isn't, to techniques like k-anonymity and noise injection. With real-world deanonymization stories and live demos included.
Second Talk: From Edge to Gateway: architecting your OpenTelemetry Collector deployment by Marcin "Perk" Stożek, Elastic
As OpenTelemetry adoption scales, the Collector becomes your observability backbone — but deploying it effectively means knowing what to run and where.
We'll cover the full Collector fleet lifecycle: demystifying binaries (standard, EDOT, and custom OCB builds), mapping deployment topologies from edge agents to centralized gateways, and tackling fleet management at scale — from static configs to dynamic orchestration with