Defining relevant KPIs and metrics to measure the health of a production customer can be very overwhelming. It is important to have a sufficient logging mechanism in place to capture those relevant metrics. Manish Anand illustrates various techniques to effectively monitor the current health and offers an overview of how to build effective production monitoring dashboards to track the relevant metrics at a glance. If you want to know how your production customers are performing or are looking for some reporting or dashboard solutions for the same for continuous monitoring, this session is for you.
This session is sponsored by Salesforce.
Manish Kumar Anand is a performance engineer at Salesforce, where he works on research, analysis, and evaluation the performance aspects in all tiers of the analytics and sales cloud. Manish’s research interests include scientific workflows, data and workflow provenance, storage and query optimizations, and ecommerce, and his expertise includes efficiently managing large-provenance graphs (labeled DAGs), specifically, efficient storage, query, visualization, navigation, and summarization of large-provenance graphs. He has also developed application tools to manage large-provenance information that are successfully integrated into the Kepler Scientific Workflow system. Manish holds a PhD and MSc in computer science from the University of California, Davis and a BTech in computer science and engineering from the International Institute of Information Technology (IIIT) in Hyderabad, India.
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