Cloud-Native Observability Framework for Real-Time Monitoring in Large-Scale Insurance Systems

ABSTRACT: This work is a robust cloud native observability framework for monitor large scale real time of insurance systems. The improved system transparency, performance and fault diagnosis that is brought in by the integration of distributed tracing, log aggregation and metrics is proposed in this architecture. Experimental validation shows its effectiveness towards improving reliability and scalability while keeping operational efficiency in place in those environments built on microservices.