Monitoring Kafka without instrumentation using eBPF
summary
Shows how eBPF (a Linux kernel technology) can be used with Pixie to monitor Apache Kafka without instrumenting Java code: identify consumers, producers and brokers, visualize their interactions and resource usage, and measure consumer lag without external components. Gives a concrete example of applying eBPF-based observability in Kubernetes for Kafka workloads.
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