observability-test-patterns

Validate OpenTelemetry instrumentation correctness by setting up Go tests with in-memory trace exporters and span matchers to verify tenant_id presence, trace_id integrity, and context propagation across unit, integration, and end-to-end workflows.

Test NATS header propagation by applying observability test patterns that validate OpenTelemetry context propagation across Go microservices. This uses NATS header propagation utilities to ensure trace_id integrity and tenant_id context are maintained across multi-service workflows.

The best way to validate OpenTelemetry log correlation is by running end-to-end observability validation across in-memory exporters and NATS header propagation. This ensures traces, metrics, and logs carry correct tenant_id context for SOC2 compliance across multi-service Go workflows.

Yes, you need a Go testing setup with in-memory exporters and span matchers to validate OpenTelemetry instrumentation correctness. This setup verifies tenant_id presence, trace_id integrity, and context propagation across unit tests and integration tests.

Yes, observability test patterns apply to unit tests, integration tests, and end-to-end observability validation across Go microservices. They verify OpenTelemetry instrumentation correctness, ensuring tenant_id propagation in traces, metrics, and logs for multi-service workflows.