Engineering Resilient API Ecosystems: Fault Containment and Observability in Large-Scale Software Platforms

@article{1715575,
      author = {Caglar Cakar},
      title = {Engineering Resilient API Ecosystems: Fault Containment and Observability in Large-Scale Software Platforms},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {8},
      pages = {1124-1134},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715575.pdf},
      abstract = {Application Programming Interfaces (APIs) have evolved from simple integration endpoints into foundational infrastructure components underpinning digital platforms, cloud-native systems, and global software ecosystems. In large-scale environments, APIs mediate interactions among microservices, external partners, mobile clients, and third-party platforms. As such, API reliability directly determines platform stability. However, distributed API ecosystems inherently operate under conditions of partial failure, unpredictable latency, and heterogeneous dependency risk. This paper develops a resilience-oriented architectural framework for large-scale API ecosystems. It examines fault containment strategies designed to prevent cascading degradation, explores dependency isolation mechanisms for third-party integrations, and positions observability as a structural requirement rather than a diagnostic afterthought. By synthesizing containment patterns with telemetry-driven reliability engineering, the study articulates a cohesive model for designing API platforms capable of sustaining operational integrity under scale and uncertainty.},
      keywords = {API Architecture; Distributed Systems; Fault Containment; Observability; Microservices; Reliability Engineering; Service Mesh; Platform Resilience},
      month = {February},
      doi = {https://doi.org/10.64388/IREV8I8-1715575}
  }