Graduation Year
2020
Document Type
Campus Only Senior Thesis
Degree Name
Bachelor of Arts
Department
Computer Science
Reader 1
Winston Ou
Reader 2
Anie Chaderjian
Terms of Use & License Information
Rights Information
@ 2020 Ali T Parker
Abstract
We were tasked with developing an application that can appropriately allocate servers based on CrowdStrike's pattern of inbound security data in order to decrease server costs and delayed message processing. We conducted a development process and created an application that would predict the rate of inbound data, then use this prediction to appropriately allocate servers. We also developed this application to reactively allocate servers based on unexpected changes in data patterns. We then moved on to a rigorous local testing phase, then tested our application against live metrics at CrowdStrike.
Recommended Citation
Parker, Ali, "Automated Kafka Consumer Scaling" (2020). Scripps Senior Theses. 1594.
https://scholarship.claremont.edu/scripps_theses/1594
This thesis is restricted to the Claremont Colleges current faculty, students, and staff.