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Monday, May 20 • 17:51 - 17:56
Lightning Talk: Using Jupyter Notebooks To Gain Insight Of Your Cluster - Ruben D Orduz, VMware

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For the last 7 years or so Jupyter Notebooks (formerly known as IPython) has revolutionized the way scholars, enthusiasts and data analysts look at, process and work with data. On the Kubernetes side, component (api-server, scheduler, controller manager, etc.) logs, events, etc. can be an indomitable fire hose of data that can rather difficult to analyze and work with in its raw form. However, as we'll demonstrate, with the right tools, you can create data pipelines so that it can observed, analyzed and visualized in an interactive way using Jupyter notebooks. Insight therein can then be used for any task from performance tuning to debugging.

The outline for this lightning talk is straightforward:

* Problem statement (~ 1 min.)
* Solution and tooling description (~45 sec.)
* How the tooling was used ( ~1 min.)
* Go over the data processing pipeline (~1 min.)
* Results (~45 sec.)

avatar for Ruben D Orduz

Ruben D Orduz

Member Technical Staff, VMware
Ruben presently works at VMware Cloud Native Business Unit focusing on Kubernetes and more specifically cluster lifecycle and cluster API. Previously Ruben worked at Heptio where he played several roles from Field Engineer to Engineering QA.

Monday May 20, 2019 17:51 - 17:56 CEST
Hall 8.0 A1