Microservice architecture has become a dominant paradigm for building scalable and maintainable enterprise applications, particularly in large organizations adopting agile methodologies. Simultaneously, observability has emerged as a key requirement for maintaining Quality of Service (QoS), resilience, and efficient debugging in distributed systems. The aim of this study is to identify, categorize, and evaluate observability patterns specifically tailored for Java-based microservices built with the Spring Boot framework. To achieve this, a review of both academic and technical industry literature was conducted – though not as a formal systematic review – focusing on recurring strategies for metrics collection, logging, tracing, and alerting. The results present a systematized set of observability patterns, along with insights into their practical applications and associated trade-offs. The implications of this work suggest the need for more consistent adoption of design-level observability practices. By providing a consolidated and context-specific overview of observability strategies, this paper contributes original value to both academic discourse and industry practice in the field of microservices engineering.
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