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., monitoring and analyzing a software system’s runtime behavior — enabling Application Performance Monitoring and Architecture Discovery.
The 10th Symposium on Software Performance (SSP ’19), was held in Würzburg, Germany, from November 4 to 6, 2019. Every year, the SSP brings together researchers and practitioners interested in software performance and related quality attributes. The scope of SSP spans measurement, modeling, benchmark design, and run-time management.
SSP 2019 had a great program that included five invited industry talks and 19 technical presentations. Some of the presentations are accompanied by short papers that appeared in the 2020 (1) issue of Softwaretechnik-Trends (issue to appear online; papers are linked in the program). From a Kieker perspective, it was very nice to see contributions related to Kieker also from other research groups, e.g., from the universities of Mannheim, Munich, and Leipzig. In addition to the technical program, SSP 2019 included an excellent social event, namely a banquet including wine testing in the Würzburg Residence’s historic wine cellar. SSP 2019 attracted about 50 participants from academia and industry.
SSP 2019 was a great event with an excellent organization by our colleagues from the University of Würzburg!
The Kieker monitoring framework and toolset comprises different monitoring probes utilizing different probe introduction mechanisms for Java and other languages, a wide variety of analysis stages to receive, read and analyze monitoring data, and tools to support handling data and … Continue reading →
In an effort to make performance measurements around Kieker more accessible, we provide now performance benchmarks for Kieker directly on our website. Currently we are evaluating plugins which suits our needs and can be integrated with our Jenkins build.