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)

Heavy Forwarder management


A Heavy Forwarder is usually used in instances where an administrator needs some more functionality, such as event routing (errors go to the error index, and info messages go to the info index), data routing, or collecting API information to be sent to the indexers. Heavy Forwarders can also be used for advanced, detailed filtering of data to reduce indexing volume.

Indexers are the heart of a Splunk system, and you can think of them as a big database. They will almost always be the beefiest of your machines, because they are doing the lion's share of the heavy lifting.

This is a diagram depicting a typical Splunk deployment:

Within a Splunk deployment a new admin often asks the question: When would you ever need a Heavy Forwarder?

The answer to this question is complicated; however, I'll give a single use case where it is good to use a Heavy Forwarder.

A Heavy Forwarder should be deployed in circumstances in which data needs to be parsed, re-routed, consolidated...