Hard drives monitoring automation approach for Kubernetes container orchestration system
https://doi.org/10.15514/ISPRAS-2020-32(2)-8
Abstract
Today, a laborious and non-trivial task is to automate monitoring of hard drives in a cluster infrastructure using the Kubernetes container management system. The paper discusses existing approaches to monitoring hard drives in the Kubernetes container orchestration system and provides a comparative analysis of them. Based on the presented analysis, a conclusion is drawn on the need to improve and automate approaches. The paper proposes an approach to automating the collection of metrics from hard drives by implementing the Kubernetes “operator” for a tool with which you can effectively obtain information about the state of hard drives in the system. As results, the temporal characteristics of collecting information about disks using existing approaches and the proposed approach are given. Numerical results and graphs showing the gain of the proposed approach are presented
About the Authors
Anastasia Sergeevna SHEMYAKINSKAYA
Peter the Great St. Petersburg Polytechnic University
Russian Federation
Student of Institute of computer science and technologies
Russian Federation
Student of Institute of computer science and technologies
Igor Valerevich NIKIFOROV
Peter the Great St. Petersburg Polytechnic University
Russian Federation
Candidate of engineering sciences, associate professor of High school of software engineering, Institute of computer science and technologies
Russian Federation
Candidate of engineering sciences, associate professor of High school of software engineering, Institute of computer science and technologies
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Review
For citations:
SHEMYAKINSKAYA A.S., NIKIFOROV I.V. Hard drives monitoring automation approach for Kubernetes container orchestration system. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2020;32(2):99-106. https://doi.org/10.15514/ISPRAS-2020-32(2)-8
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