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To connect logs with distributed traces, emit structured log records and include the active trace ID and span ID when available. Propagate trace context across service boundaries so those identifiers refer to a coherent request path. You can usually keep your existing logging library: connect it to OpenTelemetry where supported, or emit records through the OpenTelemetry Logs API.
Why move beyond console.log?
A plain console.log call often produces a rendered string. A person can read a message such as “payment failed,” but a processor or query tool may have to parse the prose to discover the event’s fields. Structured logging represents an event as a record with distinct attributes—for example, an event name, severity, and relevant request or component details—so systems can process and query those values consistently.
Structured logging is not simply putting JSON-looking text inside a string. The fields need to be represented as attributes in the emitted record, rather than relying on downstream tools to infer them from a message. OpenTelemetry defines a log data model and semantic conventions for structured events, while supporting integration with existing logging libraries. See OpenTelemetry’s logging specification and its overview of telemetry signals.
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What trace and span IDs tell you
A trace represents work as it moves through a system. Its trace ID identifies the distributed trace; a span ID identifies one span, or unit of work, within that trace. OpenTelemetry’s SpanContext carries the trace ID, span ID, trace flags, and trace state, and conforms to W3C Trace Context. The OpenTelemetry Tracing API describes the context, while the W3C Trace Context Recommendation defines standard HTTP headers and a value format for propagating context.
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When an application writes a log during an active span, adding that span’s trace and span IDs gives an observability system a way to navigate between the event and the corresponding trace. Logs from different components handling the same request can then be correlated through their shared trace ID, with each span ID locating the relevant part of the work.
How context propagation makes correlation work
Adding identifiers to a log is useful only if the identifiers belong to the trace for the work being investigated. For a distributed trace to remain coherent, services must propagate trace context as requests cross their boundaries. In HTTP-based flows, W3C Trace Context standardizes the propagation format; instrumentation or application components must preserve and use that context as work continues.
At each service, logging should draw identifiers from the active execution context, not from a manually copied value or an unrelated request. This ties the log record to the span active at the time the event occurred. If a service does not receive or continue the context, its logs may not join the same trace, even if they contain other useful fields.
What else belongs in a useful log record?
Trace identifiers answer “which trace and span?” Resource context answers “which entity produced this telemetry?” OpenTelemetry Resources describe the origin of telemetry, such as the producing service or host. That origin information remains valuable for filtering and diagnosis, including when a log has no trace context.
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Use structured attributes for event details that operators need to filter, group, or inspect. Where available, semantic conventions help give common event information consistent names. Keep the event’s meaning in its fields and use the human-readable message as a complement, not as the sole place where important values live. OpenTelemetry’s log specification covers structured LogRecords, events, and context enrichment.
Choose an integration path without assuming a logging-library replacement
OpenTelemetry can fit into an existing logging setup or be used directly to emit log records. Existing logging libraries generally provide richer logging features than the OpenTelemetry Logs API, so replacing one is not a prerequisite. The right route depends on support in the language and framework you use, the event structure you need, and how your application obtains active trace context.
| Approach | When it fits | What to check |
|---|---|---|
| Keep the existing logger and connect it through an OpenTelemetry appender or instrumentation | You want to retain the library’s logging features and established application patterns. | Confirm that an integration exists for your language, framework, and logger; check how it captures structured fields and injects trace context. |
| Emit through the OpenTelemetry Logs API | You want to create structured records or events directly through OpenTelemetry. | Assess language and framework support, control over event structure, and the operational work required to adopt the API. |
Do not assume every logger has an OpenTelemetry appender or that integrations behave identically. Verify the supported path for your specific stack before choosing. The logging specification discusses how OpenTelemetry works with existing logging libraries and the Logs API: OpenTelemetry Logging.
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Where the Collector fits
An OpenTelemetry Collector can provide a common point to receive, enrich, and process telemetry before forwarding it to a backend. In a logs pipeline, this separates application emission from downstream handling: services produce records, the Collector can apply uniform processing, and the resulting telemetry is sent onward. The Collector does not create trace context that an application never received, nor can it reliably infer the correct span for every uncorrelated legacy message.
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OpenTelemetry can also read legacy or system logs. Those records may still be useful, and Resource enrichment can identify their origin—for example, a host or container—but they may lack trace and span identifiers. Without context captured during the original execution, a log cannot always be precisely joined to the trace after the fact. For the documented logs model and pipeline context, see OpenTelemetry Logging.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A practical adoption sequence
- Inventory the logging path. Identify the application logger, language and framework, existing log format, and whether an OpenTelemetry integration is supported.
- Make important events structured. Represent operationally useful event details as fields or attributes rather than leaving them only in rendered message text. Use semantic conventions where they fit.
- Connect logs to active context. Configure supported instrumentation or the logging integration to include trace and span IDs from the active execution context.
- Preserve context across service calls. Ensure instrumentation or application components propagate trace context across boundaries, using the standard HTTP format where applicable.
- Route and enrich telemetry. Send records through a Collector if a shared processing and enrichment point suits your architecture, then forward them to the selected backend.
- Check a real request end to end. Confirm that a log record has structured fields, origin information, and the expected IDs; then verify that its trace ID leads to the corresponding distributed trace and that its span ID identifies the relevant span.
What structured logging cannot fix retroactively
Structured fields make records easier to process, and propagated context enables correlation, but neither guarantees that every log can be linked to a trace. A legacy message without captured trace context may be searchable by time or by Resource information such as its producing host, but those are different forms of correlation and may not identify the exact request or span. Treat such records as useful diagnostic evidence without claiming a precise trace link that the data does not establish.
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