Tracing serves as a key method for evaluating the performance of
microservices-based architectures, which are renowned for their scalability,
resource efficiency, and high availability. Despite their advantages, these
architectures often pose unique debugging challenges that necessitate
trade-offs, including the burden of instrumentation overhead. With Node.js
emerging as a leading development environment, recognized for its rapidly
growing ecosystem, there is a pressing need for innovative approaches that
reduce the telemetry data collection efforts, and the overhead incurred by the
environment instrumentation. In response, we introduce a new approach designed
for transparent tracing and seamless deployment of microservices in cloud
settings. This approach is centered around our newly developed Internal
Transparent Tracing and Context Reconstruction (ITTCR) algorithm. ITTCR is
adept at correlating internal metrics from various distributed trace files, to
reconstruct the intricate execution contexts of microservices operating in a
Node.js environment. Our method achieves transparency by directly instrumenting
the Node.js virtual machine, enabling the collection and analysis of trace
events in a transparent manner. This process facilitates the creation of
visualization tools, enhancing the understanding and analysis of microservice
performance in cloud environments