In a rapidly evolving tech environment where documentation is scarce and time is limited, metrics serve as crucial tools for understanding complex organizational architectures. By leveraging tools like Prometheus for collecting and querying metrics, developers can map out service dependencies and identify potential system bottlenecks. Istio, a service mesh, provides telemetry data that reveals microservices' communication patterns, while Kafka metrics offer insights into data flows and the roles of various services in data consumption and production. By correlating metrics from both Istio and Kafka, a comprehensive picture of service interactions and data streams emerges, helping developers piece together the broader system architecture. Consistent labeling across metrics is vital for accurate mapping and understanding of these relationships, enabling a more efficient and informed exploration of the infrastructure.