The goal of this hackathon is to identify change points and/or anomalies within a provided time-stamped dataset. This analysis will reveal distinct phases and patterns within the data.
Tools and Methods:
Participants are encouraged to utilize any tools, libraries, or packages (e.g., R, Python) for change point and anomaly detection.
Alternatively, participants can use the free Change Point Detection API via Postman (postman.com), as detailed below.
Resources:
Change Point Detection API: Implemented in the free web tool Perfomalist: https://www.trub.in/2020/08/cpd-change-points-detection-is-planed.html
API Instructions: How to use the Change Points Detection Perfomalist API: https://www.trutechdev.com/2021/11/the-change-points-detection-perfomalapi.html
Time Limit: 3 hours to complete the task.
Judging: CMG experts will evaluate the results.
Award: The winner will receive an award and the opportunity for a short presentation.
Vendor Participation: Vendors of similar tools are welcome to participate.
Visualization:
Results can be visualized using spreadsheet charting tools (Excel, Google Sheets) or other methods (e.g., Python, R).
Examples of visualizations will be provided below:
With over a decade at Capital One, Igor has honed his expertise in public cloud capacity management, performance anomaly detection, FinOps optimization and product ownership. His role encompasses the intricate balancing of system availability with operational efficiency, ensuring seamless scalability and robust performance across multiplatform environments.
As a Director at CMG, he shares his knowledge as a speaker and instructor, focusing on cutting-edge cloud optimization strategies. His approach integrates statistical analysis and queuing theory, driving informed decision-making and fostering a culture of continuous improvement within their teams.
