Kieker Observability Framework

Kieker Observability Framework

Description

Kieker provides observability in production environments, and its tracing yields only a low performance overhead. Use cases in teaching, research, and practice include the following areas: performance evaluation, self-adaptation control (e.g., online capacity management), failure detection and diagnosis, simulation (replaying workload traces for driving simulations; measurement and logging of simulation data; analysis of simulation results), and software re-engineering (e.g., extraction of architectural and usage models).

Requirements

Java 11 or later

Website

• Homepage: https://kieker-monitoring.net/
• Repository: https://github.com/kieker-monitoring/kieker
• Documentation: https://kieker-monitoring.readthedocs.io/en/latest/

Contributors

• Wilhelm Hasselbring
• André van Hoorn †
• Reiner Jung
• David Georg Reichelt
• and others

Maintainers

• Marcel Hansson, marcel.hansson(at)uni-hamburg.de
  University of Hamburg, Department of Informatics
  Mittelweg 177, 20148 Hamburg, Germany
• Reiner Jung, reiner.jung(at)email.uni-kiel.de
  Kiel University, Software Engineering Group
  Christian-Albrechts-Platz 4, 24118 Kiel, Germany
• David Georg Reichelt, d.g.reichelt(at)lancaster.ac.uk
  Lancaster University Leipzig, School of Computing & Communications
  Nikolaistrasse 10, 04109 Leipzig, Germany
• Shinhyung Yang, shinhyung.yang(at)email.uni-kiel.de
  Kiel University, Software Engineering Group
  Christian-Albrechts-Platz 4, 24118 Kiel, Germany

Version

2.0.2

License

Apache License, Version 2.0

Downloads

• Binaries (OS independent)
• Sources
• JavaDoc

Related publications and projects

• TBD.