International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Integration Platform Observability: Building End-to-End Tracing Across MuleSoft, Kafka, and Microservices

Author(s) Viplove Goswami
Country United States
Abstract The overwhelming popularity of microservices and driving towards event-driven architectures are making it increasingly difficult to ensure visibility across an enterprise integration landscape. When transactions pass through heterogeneous environments which usually have an orchestration layer (e.g. MuleSoft), an asynchronous backbone (e.g. Apache Kafka) and a universe of polyglot microservices, it is getting increasingly hard to identify performance bottlenecks and isolate failures. This study analyses the architectural and technical requirements for end-to-end distributed tracing using OpenTelemetry and the W3C Trace Context standard. The investigation looks at how context is propagated, the use of custom notification listeners and OpenTelemetry native support to instrument the MuleSoft runtime, and how boundaries are crossed at Kafka asynchronously. This paper also measures the performance overhead of distributed tracing using recent empirical evidence to analyze the trade-off between observability granularity and the system throughput. This paper combines existing enterprise integration patterns with current observability criteria to promote total visibility across complex, distributed digital environments.
Keywords Distributed Tracing, MuleSoft, Apache Kafka, OpenTelemetry, Microservices, Context Propagation, Observability, Event-Driven Architecture.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-12
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.75739
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E-ISSN 2582-2160
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