Better Together: Why You Should be Layering eBPF with OpenTelemetry
Blog post from Groundcover
In the realm of observability, teams often prioritize logging due to its familiarity and flexibility, but this can lead to an overreliance that creates noise and strains backend resources. Metrics naturally follow as teams seek scalable solutions for measuring trends, while tracing, essential for understanding the "why" behind system behaviors, is often deferred due to its complexity and the coordination required across services. Manual instrumentation for tracing is frequently deprioritized, but auto-instrumentation SDKs like OpenTelemetry offer significant improvements, albeit with limitations such as added overhead and incomplete framework support. eBPF (Extended Berkeley Packet Filter) addresses some of these challenges by providing kernel-level visibility without prior instrumentation, capturing real-time network interactions and enriching OpenTelemetry traces with detailed data such as full payloads and HTTP headers. The combination of eBPF and OpenTelemetry is advocated as a comprehensive observability solution, with eBPF handling network-level coverage and OpenTelemetry SDKs offering application-level insights, thereby overcoming the traditional gaps in observability by integrating both approaches for full visibility from network to application logic.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| OpenTelemetry | 25 | 622 | 137 | 51 | +51% |
| Observability | 21 | 3,204 | 716 | 172 | +14% |
| Kubernetes | 4 | 1,840 | 308 | 106 | +33% |
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