Kieker

Description

Kieker has been designed for continuous monitoring in production environments, imposing 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 8 or later

Website

http://kieker-monitoring.net/

Contributors

  • Wilhelm Hasselbring
  • André van Hoorn
  • Reiner Jung
  • and others

Maintainers

  • André van Hoorn, van.hoorn(at)informatik.uni-stuttgart.d
    University of Stuttgart, Reliable Software Systems Group
    Universitätsstraße 38, 70569 Stuttgart, Germany
  • Reiner Jung, reiner.jung(at)email.uni-kiel.de
    Kiel University, Software Engineering Group
    Christian-Albrechts-Platz 4, 24118 Kiel, Germany

Version

1.14

License

Apache License, Version 2.0

Downloads

Related publications and projects

  • André van Hoorn, Jan Waller and Wilhelm Hasselbring, Kieker: A Framework for Application Performance Monitoring and Dynamic Software Analysis, in: Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering (ICPE 2012), pages 247-248, ACM, 2012
  • Robert von Massow, André van Hoorn and Wilhelm Hasselbring, Performance Simulation of Runtime Reconfigurable Component-Based Software Architectures, in: 5th European Conference on Software Architecture (ECSA '11), vol. 6903 of LNCS, pages 43-58, Springer, 2011
  • André van Hoorn, Holger Knoche, Wolfgang Goerigk and Wilhelm Hasselbring, Model-Driven Instrumentation for Dynamic Analysis of Legacy Software Systems, in: Proceedings of the 13. Workshop Software-Reengineering (WSR 2011), pages 26-27, 2011
  • Matthias Rohr, André van Hoorn, Wilhelm Hasselbring, Marco Lübcke and Sergej Alekseev, Workload-Intensity-Sensitive Timing Behavior Analysis for Distributed Multi-User Software Systems, in: Proceedings of the Joint WOSP/SIPEW International Conference on Performance Engineering (WOSP/SIPEW '10), pages 87-92, ACM, 2010
  • André van Hoorn, Matthias Rohr, Wilhelm Hasselbring, Jan Waller, Jens Ehlers, Sören Frey and Dennis Kieselhorst, Continuous Monitoring of Software Services: Design and Application of the Kieker Framework, Department of Computer Science, University of Kiel, Germany, number TR-0921, 2009.
  • Nina S. Marwede, Matthias Rohr, André van Hoorn and Wilhelm Hasselbring, Automatic Failure Diagnosis Support in Distributed Large-Scale Software Systems based on Timing Behavior Anomaly Correlation, in: Proceedings of the 13th European Conference on Software Maintenance and Reengineering (CSMR '09), pages 47-57, IEEE, 2009
  • Matthias Rohr, André van Hoorn, Jasminka Matevska, Nils Sommer, Lena Stoever, Simon Giesecke and Wilhelm Hasselbring, Kieker: Continuous Monitoring and on demand Visualization of Java Software Behavior, in: Proceedings of the IASTED International Conference on Software Engineering 2008 (SE '08), pages 80-85, ACTA Press, 2008
  • Matthias Rohr, André van Hoorn, Simon Giesecke, Jasminka Matevska, Wilhelm Hasselbring and Sergej Alekseev, Trace-context sensitive performance profiling for enterprise software applications, in: Performance Evaluation - Metrics, Models and Benchmarks: Proceedings of the SPEC International Performance Evaluation Workshop (SIPEW '08), vol. 5119 of LNCS, pages 283-302, Springer-Verlag, 2008