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February 19, 20260 citationsOpen Access

Integrating Observability in Spring Boot Microservices for Enhanced Cloud Operations

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DSDeepak SinghGDGaurang Deshpande

Key Points

  • The research aims to explore the use of observability tools in Spring Boot microservices to enhance cloud operations.
  • Analyzed existing observability tools and frameworks such as Prometheus, Grafana, and OpenTelemetry.
  • Investigated the pain points within Spring Boot frameworks related to debugging and operational insights.
  • Presented industry examples from companies like Netflix and Airbnb.
  • Identified significant gaps in debugging capabilities and real-time insights for Spring Boot applications.
  • Suggested that integrated observability tools could reduce downtime and improve operational understanding.
  • Highlighted the necessity for a unified observability approach in cloud-native architectures.

Abstract

This research examines using observability tools logs, traces, and metrics in Spring Boot microservices to support reliability, performance, and monitoring in cloud-native architectures. The research addressed key pain points within Spring Boot frameworks, including having no debugging capability, lack of near real-time insight into deployments, and complexities of multiple distributed services. The frameworks, including Prometheus, Grafana, and OpenTelemetry as well as industry examples presented (Netflix, Airbnb and others). This suggests integrated observability to reduce downtime and support operational awareness and knowledge in cloud-based microservices—findings aimed to indicate the relevant need for a unified observability process.

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Cite This Study

Singh et al. (2024) studied this question.

synapsesocial.com/papers/6996a8c7ecb39a600b3efd8ehttps://doi.org/10.5281/zenodo.18667062
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