PROJECT TITLE :
Taming Replication Latency of Big Data Events with Capacity Planning
Making certain low replication latency of database events is business-critical however difficult with huge data. A proposed capacity-designing model helps achieve this goal by forecasting future traffic rates, predicting replication latency, and determining needed replication capacity. The Web extra at http://youtu.be/ZupPlrS8dGA is a video of in that author Zhenyun Zhuang demonstrates Naarad, an open-supply performance analysis tool (https://github.com/linkedin/naarad) written in Python that analyzes various metrics (gc, sar, Jmeter etc), evaluates SLAs and generates a user friendly report to help in performance analysis and investigations.
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