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20242026
most citedInformed and Assessable Observability Design Decisions in Cloud-native Microservice Applications

11 citations · 17 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.SE2026

Architectural Constraints Alignment in AI-assisted, Platform-based Service Development

Julius Irion, Moritz Leugers, Paul Hartwig +5

AI-assisted development tools enable rapid prototyping of services but often lack awareness of architectural constraints, infrastructure dependencies, and organizational standards…

cs.SE2025

A Comprehensive Experimentation Framework for Energy-Efficient Design of Cloud-Native Applications

Sebastian Werner, Maria C. Borges, Karl Wolf +1

Current approaches to designing energy-efficient applications typically rely on measuring individual components using readily available local metrics, like CPU utilization. However…

cs.SE20251 cited

Continuous Observability Assurance in Cloud-Native Applications

Maria C. Borges, Sebastian Werner

When faults occur in microservice applications -- as they inevitably do -- developers depend on observability data to quickly identify and diagnose the issue. To collect such data,…

cs.SE20244 cited

OXN -- Automated Observability Assessments for Cloud-Native Applications

Maria C. Borges, Joshua Bauer, Sebastian Werner

Observability is important to ensure the reliability of microservice applications. These applications are often prone to failures, since they have many independent services deploye…

cs.SE2024

Informed and Assessable Observability Design Decisions in Cloud-native Microservice Applications

Maria C. Borges, Joshua Bauer, Sebastian Werner +2

Observability is important to ensure the reliability of microservice applications. These applications are often prone to failures, since they have many independent services deploye…