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Thirty Billion Metrics a Day: Large-Scale Performance Metrics with Ganglia
Adam Compton, Quantcast
At Quantcast, we use Ganglia to track upwards of thirty billion individual metric samples each day across more than five million unique time series. We use this data in every aspect of the business, from monitoring and alerting, to capacity planning, to troubleshooting and root cause analysis. In the talk I'll explain how we got here, how we manage this data, and how we plan to continue scaling our performance metrics infrastructure as the business grows.
Adam Compton, Quantcast
Adam has been in the system administration field for over a decade, and worked with a wide variety of software and services in various industries. He, along with others at Quantcast, contributed a white paper to the Ganglia project's O'Reilly book. He is particularly interested in the areas of configuration management and systems automation, such as building robust, self-healing and self-managing systems. He also knows some great card tricks.
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author = {Adam Compton},
title = {Thirty Billion Metrics a Day: {Large-Scale} Performance Metrics with Ganglia},
year = {2015},
address = {Washington, D.C.},
publisher = {USENIX Association},
month = nov
}
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