How eBPF Enriches OTel–A payment service quietly regressing after an unsuccessful migration

A payment-service latency regression illustrates how OpenTelemetry and eBPF can provide complementary observability: OTel supplied detailed trace timing and application-level spans, while eBPF captured the outbound HTTP payload that revealed legacy payment tokens were being rate-limited, a detail intentionally omitted from standard instrumentation because request bodies can be costly and sensitive. Kubernetes data collected through the same sensor then exposed both the relevant environment configuration and a failed remediation rollout, where an unintended readiness-probe change prevented new pods from becoming ready. The account argues that eBPF offers broad, no-code visibility into network protocols, infrastructure, and uninstrumented workloads, though it has limits in identifying application functions without symbols and frame pointers. Across four incident examples, it presents OTel as the source of deliberate business and application context and eBPF as continuous underlying evidence, with automated investigation skills proposed as a more reusable outcome than dashboards alone.

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