by kieker-monitoring · Agent Tool · ★ 114
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Kieker Observability Framework The internal behavior of large-scale software systems cannot be determined on the basis of static (e.g., source code) analysis alone. Kieker provides complementary dynamic analysis capabilities, i.e., tracing, monitoring and analyzing a software system’s runtime behavior — enabling application performance monitoring and architecture discovery. Detailed information about Kieker is provided at http://kieker-monitoring.net/ and its documentation site https://kieker-monitoring.readthedocs.io/en/latest/ Citation If you use this software, please cite Shinhyung Yang, David Georg Reichelt, Reiner Jung, Marcel Hansson, and Wilhelm Hasselbring (2025) "The Kieker Observability Framework Version 2". In: Companion of the 16th ACM/SPEC International Conference on Performance Engineering (ICPE '25), May 5-9, 2025, Toronto, ON, Canada. https://doi.org/10.1145/3680256.3721972 Wilhelm Hasselbring and André van Hoorn (2020) "Kieker: A monitoring framework for software engineering research". Software Impacts, 5.
| Stars | 114 |
| Forks | 47 |
| Language | Java |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.214171178641/100 |
| Open Issues | 764 |
| Last Updated | 2026-08-07 |
| Created | 2015-06-25 |
| Platforms | java |
| Est. Tokens | ~17k |
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kieker is Kieker is an observability framework, that consists of an monitoring and tracing agent, and compatible analysis tools. It is categorized as a Agent Tool with 114 GitHub stars.
kieker is primarily written in Java. It covers topics such as apm, distributed-tracing, dynamic-analysis.
You can find installation instructions and usage details in the kieker GitHub repository at github.com/kieker-monitoring/kieker. The project has 114 stars and 47 forks, indicating an active community.
kieker is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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