End-to-End Logging Strategy for Enterprise Applications Developed using Spring Boot and AWS

Sasikanth Mamidi

doi:10.71097/IJSAT.v16.i2.5267

End-to-End Logging Strategy for Enterprise Applications Developed using Spring Boot and AWS

Author(s)	Sasikanth Mamidi
Country	United States
Abstract	This paper introduces a robust, end-to-end logging strategy for enterprise applications built using Spring Boot and deployed on Amazon Web Services (AWS). As enterprises increasingly transition to distributed architectures and microservices, traditional logging practices prove insufficient in providing the visibility, scalability, and security required for modern systems. The proposed strategy emphasizes structured and context-enriched logging, centralized aggregation, real-time alerting, and compliance-driven storage policies. It leverages powerful AWS-native tools, including CloudWatch, Kinesis Data Firehose, Lambda, and Elasticsearch, to ensure low-latency log ingestion, advanced querying, and scalable storage. Security is reinforced through encryption at rest and in transit, fine-grained IAM policies, and automated compliance monitoring. The architecture supports asynchronous log processing to reduce application overhead and utilizes metadata injection (e.g., request IDs, session IDs) for seamless traceability across services. A real-world case study from the financial sector demonstrates measurable benefits such as a 60% reduction in mean time to recovery (MTTR) and enhanced operational efficiency under peak load conditions. Performance evaluations confirmed that the logging pipeline, maintained resilience and speed even under synthetic 10x traffic spikes. The document further explores literature on logging evolution, design trade-offs in observability systems, and the critical need for unified frameworks in distributed environments. Finally, it outlines future directions including machine learning-based anomaly detection, support for hybrid cloud logging, and enhanced visualization tools. This paper serves as a blueprint for enterprises aiming to modernize their logging systems for greater operational intelligence, faster incident response, and regulatory readiness in today’s cloud-centric landscape.
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-05-16
DOI	https://doi.org/10.71097/IJSAT.v16.i2.5267
Short DOI	https://doi.org/g9kc5k

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End-to-End Logging Strategy for Enterprise Applications Developed using Spring Boot and AWS

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