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The Kieker Observability Framework Version 2

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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The Kieker Observability Framework Version 2. / Yang, Shinhyung; Reichelt, David Georg; Jung, Reiner et al.
ICPE '25: Companion of the 16th ACM/SPEC International Conference on Performance Engineering. New York: ACM, 2025. p. 11-15.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Yang, S, Reichelt, DG, Jung, R, Hansson, M & Hasselbring, W 2025, The Kieker Observability Framework Version 2. in ICPE '25: Companion of the 16th ACM/SPEC International Conference on Performance Engineering. ACM, New York, pp. 11-15. https://doi.org/10.1145/3680256.3721972

APA

Yang, S., Reichelt, D. G., Jung, R., Hansson, M., & Hasselbring, W. (2025). The Kieker Observability Framework Version 2. In ICPE '25: Companion of the 16th ACM/SPEC International Conference on Performance Engineering (pp. 11-15). ACM. https://doi.org/10.1145/3680256.3721972

Vancouver

Yang S, Reichelt DG, Jung R, Hansson M, Hasselbring W. The Kieker Observability Framework Version 2. In ICPE '25: Companion of the 16th ACM/SPEC International Conference on Performance Engineering. New York: ACM. 2025. p. 11-15 doi: 10.1145/3680256.3721972

Author

Yang, Shinhyung ; Reichelt, David Georg ; Jung, Reiner et al. / The Kieker Observability Framework Version 2. ICPE '25: Companion of the 16th ACM/SPEC International Conference on Performance Engineering. New York : ACM, 2025. pp. 11-15

Bibtex

@inproceedings{a0f98574bf884b3cb47bab6a613f4074,
title = "The Kieker Observability Framework Version 2",
abstract = "Observability of a software system aims at allowing its engineers and operators to keep the system robust and highly available. With this paper, we present the Kieker Observability Framework Version 2, the successor of the Kieker Monitoring Framework.In this tool artifact paper, we do not just present the Kieker framework, but also a demonstration of its application to the TeaStore benchmark, integrated with the visual analytics tool ExplorViz. This demo is provided both as an online service and as an artifact to deploy it yourself.",
author = "Shinhyung Yang and Reichelt, {David Georg} and Reiner Jung and Marcel Hansson and Wilhelm Hasselbring",
year = "2025",
month = may,
day = "5",
doi = "10.1145/3680256.3721972",
language = "English",
pages = "11--15",
booktitle = "ICPE '25: Companion of the 16th ACM/SPEC International Conference on Performance Engineering",
publisher = "ACM",

}

RIS

TY - GEN

T1 - The Kieker Observability Framework Version 2

AU - Yang, Shinhyung

AU - Reichelt, David Georg

AU - Jung, Reiner

AU - Hansson, Marcel

AU - Hasselbring, Wilhelm

PY - 2025/5/5

Y1 - 2025/5/5

N2 - Observability of a software system aims at allowing its engineers and operators to keep the system robust and highly available. With this paper, we present the Kieker Observability Framework Version 2, the successor of the Kieker Monitoring Framework.In this tool artifact paper, we do not just present the Kieker framework, but also a demonstration of its application to the TeaStore benchmark, integrated with the visual analytics tool ExplorViz. This demo is provided both as an online service and as an artifact to deploy it yourself.

AB - Observability of a software system aims at allowing its engineers and operators to keep the system robust and highly available. With this paper, we present the Kieker Observability Framework Version 2, the successor of the Kieker Monitoring Framework.In this tool artifact paper, we do not just present the Kieker framework, but also a demonstration of its application to the TeaStore benchmark, integrated with the visual analytics tool ExplorViz. This demo is provided both as an online service and as an artifact to deploy it yourself.

U2 - 10.1145/3680256.3721972

DO - 10.1145/3680256.3721972

M3 - Conference contribution/Paper

SP - 11

EP - 15

BT - ICPE '25: Companion of the 16th ACM/SPEC International Conference on Performance Engineering

PB - ACM

CY - New York

ER -