Traditional observability approaches require extensive application instrumentation, adding complexity and maintenance overhead to your codebase. What if you could gain deep insights into your Kubernetes workloads without modifying a single line of application code?This talk explores production-grade eBPF-based observability, demonstrating how kernel-level instrumentation provides comprehensive visibility into service behavior, network traffic, and system performance. Using tools like Cilium Hubble and Pixie, we'll show how eBPF enables automatic discovery of service dependencies, real-time network analysis, and zero-overhead profiling.