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A Black-box Monitoring Approach to Measure Microservices Runtime Performance

Rolando Brondolin, Marco D. Santambrogio

2020ACM Transactions on Architecture and Code Optimization43 citationsDOIOpen Access PDF

Abstract

Microservices changed cloud computing by moving the applications’ complexity from one monolithic executable to thousands of network interactions between small components. Given the increasing deployment sizes, the architectural exploitation challenges, and the impact on data-centers’ power consumption, we need to efficiently track this complexity. Within this article, we propose a black-box monitoring approach to track microservices at scale, focusing on architectural metrics, power consumption, application performance, and network performance. The proposed approach is transparent w.r.t. the monitored applications, generates less overhead w.r.t. black-box approaches available in the state-of-the-art, and provides fine-grain accurate metrics.

Topics & Concepts

MicroservicesComputer scienceExecutableBlack boxOverhead (engineering)Software deploymentCloud computingDistributed computingPower consumptionBig dataPower (physics)Operating systemQuantum mechanicsPhysicsArtificial intelligenceCloud Computing and Resource ManagementSoftware System Performance and ReliabilitySoftware-Defined Networks and 5G
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