Simurgh: Multi-Agent Adversarial Benchmarking for Proactive Microservice Observability

Microservices autoscaling is essential for dynamically adjusting resources to meet fluctuating workload demands and maintain service-level objectives (SLOs), such as latency, while minimizing resource usage. However, the control logic of modern autoscalers is susceptible to exploitation. Assessing its performance requires more than passive monitoring; the rapid evolution of application development has outpaced the availability of observability tools to benchmark and identify corner cases in autoscaling configurations relative to an application's behavior.

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Publication Details

Published
2025-08-20
DOI
https://doi.org/10.1145/3748496.3748991
Citations
1
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
1.49
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article

Simurgh: Multi-Agent Adversarial Benchmarking for Proactive Microservice Observability

Răzvan-Mihai Ursu, Wolfgang Kellerer, Navidreza Asadi, Leon Wong
1 citations
Software System Performance and Reliability
1.49
article

Simurgh: Multi-Agent Adversarial Benchmarking for Proactive Microservice Observability

Răzvan-Mihai Ursu, Wolfgang Kellerer, Navidreza Asadi, Leon Wong
article en
1 citations

Abstract

Microservices autoscaling is essential for dynamically adjusting resources to meet fluctuating workload demands and maintain service-level objectives (SLOs), such as latency, while minimizing resource usage. However, the control logic of modern autoscalers is susceptible to exploitation. Assessing its performance requires more than passive monitoring; the rapid evolution of application development has outpaced the availability of observability tools to benchmark and identify corner cases in autoscaling configurations relative to an application's behavior.

Rakuten (Japan) (JP), Technical University of Munich (DE)
Openalex Percentile: Top 14%
Software System Performance and Reliability
1.49
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