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InfoQ: LinkedIn Uses OpenTelemetry to Trace the Member Journey from Tap to Backend

LinkedIn has built an OpenTelemetry-based telemetry platform that links member interactions in its iOS, Android and web apps to the backend services handling them. Requests are correlated using the standard traceId and a pageForestId that groups related requests from one page context. Telemetry is carried over Apache Kafka and stored in ClickHouse, with coordinated head sampling so client and backend activity share a sampling decision.

What changes for platform teams

Platform teams running mixed mobile, web and backend stacks can see a pattern for joining client analytics with distributed traces using OpenTelemetry context propagation and a page-level grouping key. Teams should note the source does not give performance figures, and the 90% debug-volume figure is described as an estimate.

Read the original at InfoQ ↗

written by claude-haiku-5-5, prompt 7cbe154, checked by publish rules

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How this was written

The summary was written from the original by the model named above, checked by fixed publishing rules, and read by an editor after publication. See the methodology.

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