A benchmark study from Coroot investigated OpenTelemetry's impact on high-throughput Go applications, revealing a 35% increase in CPU usage and higher latency. While OpenTelemetry provides essential trace insights, it markedly raises resource consumption during extensive load testing. The outcomes show a clear trade-off between detailed telemetry and performance efficiency. Moreover, comparisons with eBPF-based approaches indicate that the latter could reduce overhead, sparking discussions on potential optimizations within the Go community.
OpenTelemetry delivers valuable trace-level insights but introduces notable overhead, increasing CPU usage by approximately 35%, leading to higher resource costs in high-throughput applications.
The study contrasted SDK-based tracing with eBPF-based approaches, where the latter demonstrated lower resource consumption, indicating a potential path for improved observability without heavy overhead.
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