183 Java Observability Tracing Opentelemetry

Java Distributed Tracing with OpenTelemetry

Implement robust distributed tracing in Java with OpenTelemetry by modeling meaningful spans, preserving context propagation, and instrumenting critical business and infrastructure paths with low-overhead, privacy-safe telemetry.

What is covered in this Skill?

• OpenTelemetry tracing fundamentals for Java services
• Span design: boundaries, parent/child relationships, and operation naming
• Context propagation across HTTP, messaging, async tasks, and thread boundaries
• Semantic conventions and stable attribute naming
• Error/status/event recording best practices
• Sampling strategy and performance/cost trade-offs
• Privacy and security controls for trace attributes
• Testing and verification of trace propagation and span correctness

Scope: Distributed tracing quality in application and integration layers, focused on diagnosability, consistency, and operational safety.

Constraints

Tracing instrumentation must preserve context correctly and avoid leaking sensitive data. Over-instrumentation and high-cardinality attributes can harm cost and signal quality.

• PROPAGATION FIRST: Ensure context propagation across all sync/async boundaries before adding extra span detail
• NO SENSITIVE DATA: Never store secrets, credentials, tokens, raw payloads, or PII in span attributes/events
• LOW CARDINALITY ATTRIBUTES: Avoid unbounded values in attributes that are used for aggregation/search
• VERIFY: Run ./mvnw clean verify or mvn clean verify after applying tracing changes

When to use this skill

• Improve tracing
• Apply OpenTelemetry tracing
• Add distributed tracing
• Refactor tracing instrumentation
• Instrument Java services with OpenTelemetry spans

Workflow

1. Define trace model and critical flows

Identify high-value request and async flows, define operation boundaries, and choose span names/attributes aligned with semantic conventions.

2. Instrument and propagate context

Add OpenTelemetry spans to key boundaries and ensure trace context is propagated across HTTP clients/servers, messaging, and executor-based async work.

3. Harden span data and sampling

Record status/errors/events consistently, remove sensitive data, control attribute cardinality, and configure sampling/exporters according to environment needs.

4. Validate traces end-to-end

Verify parent-child relationships, propagation continuity, and backend visibility through tests and runtime checks.

Reference

For detailed guidance, examples, and constraints, see references/183-java-observability-tracing-opentelemetry.md.