“JSON output is automatically structured logging.”
Not quite.Structure requires stable field names, types, and semantics, not merely valid JSON.
Architecture & Systems
Structured Logging and Run IDs
Structured logs with run IDs and trade IDs turn production errors into actionable, traceable events.
Mental model
Structured events plus stable identifiers turn production behavior into searchable evidence.
Structured logging records events as key–value pairs, including identifiers such as run_id, trade_id, and snapshot_id.
Consistent fields across services make it easy to filter logs for a single valuation run or problematic trade.
Explore the mechanism
Can one execution be followed across components using stable fields rather than text search?
Structured logging and run IDs
Turn errors into traceable events.
Current run_id
run_7fa31c
Key idea: every log line is queryable because fields are consistent: run_id, trade_id, event, level.
09:30:01INFO{"run_id":"run_7fa31c","trade_id":"-","event":"valuation.start"}
09:30:02INFO{"run_id":"run_7fa31c","trade_id":"t_104a9d","event":"trade.load"}
09:30:03INFO{"run_id":"run_7fa31c","trade_id":"t_104a9d","event":"pricing.ok"}
09:30:04INFO{"run_id":"run_7fa31c","trade_id":"t_22be71","event":"trade.load"}
09:30:05INFO{"run_id":"run_7fa31c","trade_id":"t_22be71","event":"pricing.ok"}
09:30:06INFO{"run_id":"run_7fa31c","trade_id":"-","event":"valuation.end"}
Interpretation
- Without run IDs you debug “the system”. With run IDs you debug one run.
- Trade IDs turn incidents into a reproducible unit of work.
- Errors should be actionable: include the missing artefact and the context.
CONSEQUENCE PROBE
Can events from one valuation be joined across services?
request→worker event→pricer event→joined trace
One causal recordStructured fields let operators filter and reconstruct the path without parsing prose.
UNDERSTAND
What to notice
Run IDs and context-rich error messages allow engineers to reproduce, debug, and fix production issues quickly.
Where it appears
- correlating pricing-service events
- diagnosing failed batch runs
- building operational metrics from consistent events
Where the intuition breaks
What this view leaves out
- Structured logs still fail when schemas drift, identifiers are not propagated, sensitive data leaks, or important state is omitted.
Common mistakes
Where this concept sits
Follow the strongest prerequisites, applications, extensions, and contrasts.
Connections for Structured Logging and Run IDs
Structured Logging and Run IDsYOU ARE HERE
Built onRun ID and ProvenanceA stable run identity lets structured logs correlate events from one execution and connect them to provenance.
SupportsData Lineage and Audit TrailStructured events carrying run IDs provide evidence that links inputs, transformations and outputs in an audit trail.
SupportsLatency, Event-Driven Systems, and Kill-Switch DesignStructured event logs are essential for reconstructing what happened around latency spikes, order events and kill-switch activation.
SupportsScheduled Jobs and Worker QueuesWorker execution needs structured logs and run identifiers to trace asynchronous jobs across retries and queues.
Built on · Run ID and Provenance
A stable run identity lets structured logs correlate events from one execution and connect them to provenance.
Explore concept →