Kafka for Observability: Why Modern Platform Teams Are Treating Telemetry as Streaming Data

Wednesday, October 21st, 2026

AMER: 10am EDT | EMEA: 10am BST | APAC: 11:30am SGT

Modern applications generate an endless stream of logs, metrics, traces, security events, and application signals. As telemetry volumes grow and teams adopt more observability, security, analytics, and AI tools, traditional point-to-point pipelines can become increasingly difficult to scale and maintain. 

Join Vik Gamov, Principal Developer Advocate at IBM Confluent, for a practical discussion on how leading platform teams are approaching telemetry as streaming data. In this session, you'll learn how Apache Kafka® enables a more resilient and flexible observability architecture by decoupling telemetry producers from downstream consumers, making it easier to scale ingestion, support multiple tools, and retain and replay historical telemetry. 

Rather than focusing solely on monitoring, we'll explore how streaming telemetry can support observability, security operations, analytics, data engineering, and AI workloads across the enterprise