Predictive system performance data analysis (sponsored by Salesforce)
Jasmin Nakic and Samir Pilipovic examine the application of a linear regression predictive model on time series performance data, discussing and evaluating different models to find the optimal choice for a given dataset. All steps will be supported with Python-based scripts so that you can easily implement similar models on your own data.
Talk Title | Predictive system performance data analysis (sponsored by Salesforce) |
Speakers | Jasmin Nakic (Salesforce ), Samir Pilipovic (Salesforce) |
Conference | O’Reilly Velocity Conference |
Conf Tag | Build Resilient Distributed Systems |
Location | San Jose, California |
Date | June 20-22, 2017 |
URL | Talk Page |
Slides | Talk Slides |
Video | |
Jasmin Nakic and Samir Pilipovic examine the application of a linear regression predictive model on time series performance data, discussing and evaluating different models to find the optimal choice for a given dataset. All steps will be supported with Python-based scripts so that you can easily implement similar models on your own data. You’ll also learn how to analyze performance data and business data from other sources to detect anomalies in important performance metrics and generate alerts with dynamic thresholds, taking into account weekly and seasonal spikes in traffic, as you explore the process from data collection to applying predictive models to evaluating and visualizing results. This tutorial is sponsored by Salesforce and is open to all Velocity Conference pass types.