Book Image

Splunk Best Practices

Book Image

Splunk Best Practices

Overview of this book

This book will give you an edge over others through insights that will help you in day-to-day instances. When you're working with data from various sources in Splunk and performing analysis on this data, it can be a bit tricky. With this book, you will learn the best practices of working with Splunk. You'll learn about tools and techniques that will ease your life with Splunk, and will ultimately save you time. In some cases, it will adjust your thinking of what Splunk is, and what it can and cannot do. To start with, you'll get to know the best practices to get data into Splunk, analyze data, and package apps for distribution. Next, you'll discover the best practices in logging, operations, knowledge management, searching, and reporting. To finish off, we will teach you how to troubleshoot Splunk searches, as well as deployment, testing, and development with Splunk.
Table of Contents (16 chapters)

Report referenced panels


The panels start to increase the efficiency of Splunk's visualizations considerably, and the reason is quite simple. A scheduled report is held in cache memory, and that data can then be referenced by search panels in order to streamline your user experience. A report is little more than a saved search that is scheduled to run at specific intervals; because that report continues to refresh its result set, the panels that reference that data can display those results that much faster.

I will be referencing the examples used in the Splunk 6.x Dashboard Examples, so for future referencing please feel free to check out that app.

Let's use our same dashboard example to explore how this will work. I am going to ask you to use your imagination a bit for this one in order to understand the technique.

Let's say for a moment that, in our Splunk instance, our Netscaler is doing Gbps worth of throughput and it is taking a very long time to generate the chart from the first panel...