If you are running polyglot microservices (Go, Rust, Java, Python) across production Kubernetes clusters, injecting APM SDKs into every repository creates ongoing code bloat, dependency drag, and CPU overhead.
Meanwhile, running user-space sidecar proxies continuously consumes valuable memory just to inspect network payloads.
In 2026, enterprise platform security and DevOps leads are shifting to Zero-Code Kernel Telemetry powered by eBPF.
Why Platform Engineers are Switching to eBPF
Rather than running heavy user-space agents, eBPF allows observability tooling to run safely inside the Linux kernel:
- ⚡ Zero Application Code Changes: Intercept system calls directly at the kernel level—no SDK imports, app code changes, or microservice redeployments required.
- 🌐 Universal Polyglot Coverage: Get native, out-of-the-box telemetry across Go, Rust, Java, Python, and C++ applications.
- 🔥 Sub-Millisecond Overhead: Eliminate user-space runtime serialization penalties, preserving valuable CPU cycles and RAM for core application logic.
How Socket-Layer Context Propagation Works
By attaching eBPF kprobes and tracepoints to network socket calls (such as sys_enter_connect and sys_enter_write), trace context (like W3C traceparent headers) is automatically injected and extracted directly at the Linux kernel layer.
This allows end-to-end distributed tracing across microservices without modifying application binaries or restarting pods.
Read the Full Architecture & Get Manifests
We published a detailed architectural breakdown along with ready-to-use production Kubernetes deployment manifests.
👉 Read the Full Architectural Guide & Download eBPF Manifests
