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Observability in Microservices Architectures: Leveraging Logging, Metrics, and Distributed Tracing in Large-Scale Systems

https://doi.org/10.2139/ssrn.5076624
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10664-021-10063-9openalex-extracted
Enjoy your observability: an industrial survey of microservice tracing and analysis
inferredcites →https://doi.org/10.3390/fi14100274openalex-extracted
Cloud-Native Observability: The Many-Faceted Benefits of Structured and Unified Logging—A Multi-Case Study

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1109/c366505.2025.11340184openalex-snapshot
Comparative Evaluation of Linkerd and Istio Service Meshes in a Microservices Architecture Application
inferred← citeshttps://doi.org/10.1109/hpcc67675.2025.00038openalex-snapshot
HyMetricScaler: A Multi-Metric-Driven Hybrid Autoscaling Framework for Kubernetes
inferred← citeshttps://doi.org/10.1109/icicit69063.2026.11634253openalex-snapshot
Domain-Specific Platform Engineering and Service Automation: Case Studies in Healthcare and Smart Enterprises
inferred← citeshttps://doi.org/10.32996/jcsts.2025.7.5.7openalex-snapshot
The Evolution of Cloud Resilience: Observability, Automation, and High Availability
inferred← citeshttps://doi.org/10.71097/ijsat.v16.i2.5267openalex-snapshot
End-to-End Logging Strategy for Enterprise Applications Developed using Spring Boot and AWS
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