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)

Summary


In this chapter, we have learned some techniques to manage the incoming data in your Splunk indexers; some basics on how to leverage those knowledge objects to enhance performance when searching; and the pros and cons of pre- and post-field extraction.

In the next chapter, we will discuss how to use these events and fields to create saved searches, reports, and alerts on the data ingested. I will also discuss some self-healing techniques within alerting, so you can begin automating some of your top workflows, such as restarting a hung service.