Welcome to PPTAM, a set of tools for Production and Performance Testing Based Application Monitoring.
To see how to install PPTAM, see here.
To see how to use PPTAM, see here.
To see how to extend PPTAM, see here.
This is the repository referenced in the following papers:
- Alberto Avritzer, Daniel Menasché, Vilc Rufino, Barbara Russo, Andrea Janes, Vincenzo Ferme, André van Hoorn, and Henning Schulz. 2019. PPTAM: Production and Performance Testing Based Application Monitoring. In Companion of the 2019 ACM/SPEC International Conference on Performance Engineering (ICPE ’19). Association for Computing Machinery, New York, NY, USA, 39–40. DOI: https://doi.org/10.1145/3302541.3311961
- Andrea Janes, Barbara Russo: Automatic Performance Monitoring and Regression Testing During the Transition from Monolith to Microservices. ISSRE Workshops 2019: 163-168. DOI: https://doi.org/10.1109/ISSREW.2019.00067
- Alberto Avritzer, Vincenzo Ferme, Andrea Janes, Barbara Russo, André van Hoorn, Henning Schulz, Daniel Menasché, Vilc Rufino, Scalability Assessment of Microservice Architecture Deployment Configurations: A Domain-based Approach Leveraging Operational Profiles and Load Tests, Journal of Systems and Software, Volume 165, 2020, 110564, ISSN 0164-1212, DOI: https://doi.org/10.1016/j.jss.2020.110564.
- Vilc Queupe Rufino, Mateus Schulz Nogueira, Alberto Avritzer, Daniel Sadoc Menasché, Barbara Russo, Andrea Janes, Vincenzo Ferme, André van Hoorn, Henning Schulz, Cabral Lima: Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services. IEEE Access 8: 198152-198167 (2020). DOI: https://doi.org/10.1109/ACCESS.2020.3028571