A Black-box Monitoring Approach to Measure Microservices Runtime Performance
- 10 November 2020
- journal article
- research article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Architecture and Code Optimization
- Vol. 17 (4), 1-26
- https://doi.org/10.1145/3418899
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.Keywords
This publication has 22 references indexed in Scilit:
- ConMon: An automated container based network performance monitoring systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- A Dashboard for Microservice Monitoring and ManagementPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- DockerCap: A Software-Level Power Capping Orchestrator for Docker ContainersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Borg, Omega, and KubernetesQueue, 2016
- A Framework and Algorithm for Energy Efficient Container Consolidation in Cloud Data CentersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Power containersPublished by Association for Computing Machinery (ACM) ,2013
- The ganglia distributed monitoring system: design, implementation, and experienceParallel Computing, 2004
- The benefits of eventPublished by Association for Computing Machinery (ACM) ,2000
- BPF+ACM SIGCOMM Computer Communication Review, 1999
- The Nas Parallel BenchmarksThe International Journal of Supercomputing Applications, 1991