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Gnocchi: A Scalable Time Series Database For Your Metrics with Julien Danjou

Gnocchi: A Scalable Time Series Database For Your Metrics with Julien Danjou

FromThe Python Podcast.__init__


Gnocchi: A Scalable Time Series Database For Your Metrics with Julien Danjou

FromThe Python Podcast.__init__

ratings:
Length:
39 minutes
Released:
Dec 10, 2018
Format:
Podcast episode

Description

Do you know what your servers are doing? If you have a metrics system in place then the answer should be "yes". One critical aspect of that platform is the timeseries database that allows you to store, aggregate, analyze, and query the various signals generated by your software and hardware. As the size and complexity of your systems scale, so does the volume of data that you need to manage which can put a strain on your metrics stack. Julien Danjou built Gnocchi during his time on the OpenStack project to provide a time oriented data store that would scale horizontally and still provide fast queries. In this episode he explains how the project got started, how it works, how it compares to the other options on the market, and how you can start using it today to get better visibility into your operations.
Released:
Dec 10, 2018
Format:
Podcast episode

Titles in the series (100)

The podcast about Python and the people who make it great