Asynchronous communication in distributed systems allows services to independently produce, route, or consume events and messages without requiring immediate responses, enhancing scalability and fault tolerance but complicating traceability. Unlike synchronous systems where events follow a predictable sequence, asynchronous systems involve operations that are temporally decoupled, making it difficult to trace the flow and origin of events. Distributed tracing helps bridge this gap by using context propagation, which involves passing metadata like trace IDs across service boundaries to identify and correlate activities. However, asynchronous systems often face challenges in maintaining trace continuity, especially when intermediaries strip trace metadata, requiring manual injection. The choice between parent-child relationships and span-link methods for context propagation impacts the visibility and analysis of operations. Parent-child relationships offer a unified, hierarchical view suitable for tightly controlled environments, while span links provide flexibility in loosely coupled systems but may result in fragmented visibility. Implementing these methods involves choosing appropriate tools and strategies based on the system's architecture and control level, with platforms like Datadog and OpenTelemetry offering support for both methods to improve trace visibility in asynchronous environments.