Systems | Development | Analytics | API | Testing

Kafka Live Stream #26 | Rapid development for real-time analytics with @Implydata

How can engineers enable real-time insights when working with high-throughput, data-intensive streams? In this 30-minute session, Imply and Lenses.io show you how to Enable self-service access for developers working with critical, high-velocity data flows in #apache #kafka Ingest and normalize complex data structures, enabling real-time analytics at scale via modern databases like #druid.

UI-driven GitOps: Opening up Kafka without giving up governance

As Kafka evolves in your business, adopting best practices becomes a must. The GitOps methodology makes sure deployments match intended outcomes, anchored by a single source of truth. When integrating Apache Kafka with GitOps, many will think of Strimzi. Strimzi uses the Operator pattern for synchronization. This approach, whilst effective, primarily caters to Kubernetes-based Kafka resources (e.g. Topics). But this isn’t ideal.