https://github.com/perguard/pg-streaming-performance-data
Data collection, feature engineering and machine learning of performance traces
https://github.com/perguard/pg-streaming-performance-data
avro docker docker-compose java kafka kafka-streams machine-learning python scikit-learn scikit-multiflow skmultiflow stream-processing streaming-data telegraf zipkin
Last synced: 2 months ago
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Data collection, feature engineering and machine learning of performance traces
- Host: GitHub
- URL: https://github.com/perguard/pg-streaming-performance-data
- Owner: perguard
- License: agpl-3.0
- Created: 2021-03-17T10:08:17.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-07-30T14:34:36.000Z (almost 5 years ago)
- Last Synced: 2025-03-28T00:48:53.546Z (about 1 year ago)
- Topics: avro, docker, docker-compose, java, kafka, kafka-streams, machine-learning, python, scikit-learn, scikit-multiflow, skmultiflow, stream-processing, streaming-data, telegraf, zipkin
- Language: Java
- Homepage:
- Size: 153 KB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Streaming performance data
Please have a look at the README in each folder :)
* [pg-streaming-data-collection](./pg-streaming-data-collection): Data collection of performance traces
* [pg-streaming-feature-engineering](./pg-streaming-feature-engineering): Feature engineering of performance traces
* [pg-streaming-machine-learning](./pg-streaming-machine-learning): Machine learning for streaming performance traces
## Contributors

Georg Neugschwandtner

Anastasios Kalogeropoulos

Johannes Kross