Ollygarden otel auto instrumentation

OpenTelemetry Auto-Instrumentation

Use this skill when planning, implementing, or reviewing auto-instrumentation. It is universal guidance. Language-specific setup skills decide how a runtime enables the chosen auto-instrumentation; this skill decides whether it should be enabled, constrained, supplemented, or excluded.

Non-Negotiable Rules

• Auto-instrumentation availability is not approval to export everything. Include only services and boundaries that help debug production issues or explain critical business workflows.
• Auto-instrumented boundaries still need scope, signal, privacy, volume, and noise decisions before SDK setup writes final configuration.
• Prefer auto spans for standard boundaries such as HTTP, database, messaging, RPC, and cache. Do not add manual spans around those same operations unless the manual work adds business context without duplicating the auto span.
• Use auto + manual context when an auto span exists but the trace would otherwise miss a degraded state, fallback, retry outcome, or business milestone. Annotate the owning/current span or emit a bounded event instead of wrapping the auto boundary in another span.
• Exclude or suppress low-value expected traffic such as health checks, readiness and liveness probes, metrics/debug endpoints, static assets, and internal platform probes.
• Do not enable capture of request bodies, response bodies, message payloads, cookies, authorization headers, API keys, tokens, credentials, or other sensitive headers.
• Prefer route templates and stable operation names. Avoid raw full URLs, path values containing IDs, unsanitized SQL values, message payloads, request IDs, timestamps, usernames, emails, and other unbounded values.
• Logs and baggage are not implied by auto-instrumentation. Logs need an explicit redaction/export policy. Baggage needs explicitly bounded allowlisted keys.
• Production sampling must be intentional. Unconditional always_on for production requires an explicit plan rationale or an explicitly documented downstream sampling control.

Decision Workflow

For each detected service and boundary:

1. Identify the business workflow or operational incident this telemetry explains.
2. Decide whether the service is in scope, out of scope, or lower priority.
3. Decide whether the boundary is auto, manual, auto + manual context, or excluded.
4. Identify auto-instrumentation tuning required before export:
   • endpoint suppressions
   • service suppressions
   • signal scope
   • sampling policy
   • body/header/payload capture policy
   • SQL or statement sanitization expectations
   • propagation policy
5. Record PII, cardinality, volume, and noise risks in the instrumentation plan.
6. If the auto span already answers the production-debugging question, do not add manual instrumentation.

Common Decisions

Auto

Use auto when a standard instrumentation library or agent covers the boundary and the default span explains the production question.

Examples:

• inbound HTTP route latency and status
• outbound HTTP dependency latency
• JDBC or ORM query latency with sanitized statement metadata
• Kafka or queue produce/consume trace continuity

Auto + Manual Context

Use auto + manual context when the auto span exists but misses a meaningful business or degraded outcome.

Examples:

• HTTP request returns 200 with partial data after a fallback
• retries eventually succeed but should be visible as degradation
• a cache miss triggers a slow downstream dependency call
• a message is consumed successfully but routed to a dead-letter path

The manual work should usually annotate the current span or emit a bounded event. Do not create a duplicate child span around the auto-instrumented HTTP, DB, RPC, messaging, or cache call.

Manual

Use manual when no auto instrumentation covers the operation and the operation is a meaningful runtime boundary or critical business milestone.

Examples:

• third-party SDK call not covered by HTTP/RPC instrumentation
• custom workflow step that owns a user-visible outcome
• fallback path that does not cross a separately auto-instrumented boundary

Excluded

Use excluded when telemetry would add cost or cognitive load without improving runtime understanding.

Examples:

• health/readiness/liveness checks
• metrics/debug/static endpoints
• DTO mapping, object conversion, validation helpers, utility functions
• high-volume platform/control-plane services unless there is a concrete incident use case

Plan Output Expectations

When used during instrumentation planning, record for every auto-instrumented service or boundary:

• service name and whether it is in scope
• boundary type
• decision: auto, auto + manual context, or excluded
• business or operational rationale
• required suppressions or tuning
• sensitive data capture risks
• volume/noise risk
• whether SDK setup must enable, disable, or avoid any signal/propagator/exporter

For every auto + manual context decision, also record the exact manual context that must be added and what must not be duplicated.

Verification Checklist

• Auto-instrumented services match the plan scope.
• Auto-instrumented boundaries match the plan decisions.
• Excluded endpoints/services are suppressed, filtered, downsampled, or explicitly accepted.
• Manual spans do not duplicate auto HTTP, DB, RPC, messaging, or cache spans.
• Logs are not exported unless the plan includes a redaction/export policy.
• Baggage is not enabled unless the plan includes bounded allowlisted keys.
• Sampling matches the plan and does not accidentally use production always_on.
• No sensitive headers, bodies, message payloads, raw IDs, raw SQL values, or unbounded values are captured.
• The resulting trace explains the listed business workflows without excessive nesting.