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Splunk Developer's Guide

Splunk Developer's Guide - Second Edition

By : Marco Scala, Kyle Smith
3.6 (5)
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Splunk Developer's Guide

Splunk Developer's Guide

3.6 (5)
By: Marco Scala, Kyle Smith

Overview of this book

Splunk provides a platform that allows you to search data stored on a machine, analyze it, and visualize the analyzed data to make informed decisions. The adoption of Splunk in enterprises is huge, and it has a wide range of customers right from Adobe to Dominos. Using the Splunk platform as a user is one thing, but customizing this platform and creating applications specific to your needs takes more than basic knowledge of the platform. This book will dive into developing Splunk applications that cater to your needs of making sense of data and will let you visualize this data with the help of stunning dashboards. This book includes everything on developing a full-fledged Splunk application?right from designing to implementing to publishing. We will design the fundamentals to build a Splunk application and then move on to creating one. During the course of the book, we will cover application data, objects, permissions, and more. After this, we will show you how to enhance the application, including branding, workflows, and enriched data. Views, dashboards, and web frameworks are also covered. This book will showcase everything new in the latest version of Splunk?including the latest data models, alert actions, XML forms, various dashboard enhancements, and visualization options (with D3). Finally, we take a look at the latest Splunk cloud applications, advanced integrations, and development as per the latest release.
Table of Contents (10 chapters)
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9
Index

Knowing your data

Knowing your data is paramount when creating dashboards and views. Being familiar with your data gives you a deeper understanding of the context and a greater insight into the different nuances of data visualization. For example, you will never use time series data in a pie chart, right? Knowing that you have time series data before trying to create a chart will speed up the process of designing and creating the dashboards you will need in your App. Another very valid thought process entails you to think about which data fits which data visualization; it's more than just the typical pie versus time-based line charts. This can include such things as choosing between bar and column charts, when to use stacked bars, or whether you should use 100 percent stacked bars. Some of these will be answered only once you work with the visualization previews available in Splunk.

Let's start with a quick exercise. Let's assume that you are collecting Kbps metrics for your...

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