Pyspark Resource Monitoring Application

Student: Ashikhmin Pavel

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2021

This work is designed to help the exploitation department maintain Apache Spark cluster running on Apache Yarn cluster manager by providing a tool for monitoring crucial metrics and displaying Spark resource utilization levels. There is hardly any severe tech project that does not require monitoring. For distributed cluster computing, the monitoring system is key to achieving the computation power, consequently faster insight delivery and competitive advantage. Integrating the monitoring system that is being developed within the framework of this project in a production Apache Spark cluster is going to ease the applications tuning process compared to Spark tools provided out of the box.

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