Monitoring tools for DevOps and microservices: A systematic grey literature review

被引：5

作者：

Giamattei, L. ^{[1
]}

Guerriero, A. ^{[1
]}

Pietrantuono, R. ^{[1
]}

Russo, S. ^{[1
]}

Malavolta, I. ^{[2
]}

Islam, T. ^{[2
]}

Dinga, M. ^{[2
]}

Koziolek, A. ^{[3
]}

Singh, S. ^{[3
]}

Armbruster, M. ^{[3
]}

Gutierrez-Martinez, J. M. ^{[4
]}

Caro-Alvaro, S. ^{[4
]}

Rodriguez, D. ^{[4
]}

Weber, S. ^{[5
]}

Henss, J. ^{[5
]}

Vogelin, E. Fernandez ^{[6
]}

Panojo, F. Simon ^{[6
]}

机构：

[1] Univ Naples Federico II, Naples, Italy

[2] Vrije Univ Amsterdam, Amsterdam, Netherlands

[3] Karlsruhe Inst Technol, Kastel, Karlsruhe, Germany

[4] Univ Alcala, Madrid, Spain

[5] FZI Res Ctr Informat Technol, Karlsruhe, Germany

[6] Panel Sistemas Informat, Madrid, Spain

来源：

JOURNAL OF SYSTEMS AND SOFTWARE | 2024年 / 208卷

关键词：

Monitoring; Microservice; DevOps; MSA; Tools; GUIDELINES;

D O I：

10.1016/j.jss.2023.111906

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Microservice-based systems are usually developed according to agile practices like DevOps, which enables rapid and frequent releases to promptly react and adapt to changes. Monitoring is a key enabler for these systems, as they allow to continuously get feedback from the field and support timely and tailored decisions for a quality-driven evolution. In the realm of monitoring tools available for microservices in the DevOps-driven development practice, each with different features, assumptions, and performance, selecting a suitable tool is an as much difficult as impactful task. This article presents the results of a systematic study of the grey literature we performed to identify, classify and analyze the available monitoring tools for DevOps and microservices. We selected and examined a list of 71 monitoring tools, drawing a map of their characteristics, limitations, assumptions, and open challenges, meant to be useful to both researchers and practitioners working in this area. Results are publicly available and replicable.

引用

页数：24

共 31 条

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