Book Image

Implementing Splunk 7, Third Edition - Third Edition

Book Image

Implementing Splunk 7, Third Edition - Third Edition

Overview of this book

Splunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them to quickly and efficiently process machine-generated big data. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips to help you implement Splunk services effectively and efficiently. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projects
Table of Contents (19 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Planning redundancy


The term redundancy can mean different things, depending on your concern. Splunk has features to help with some of these concerns, but not others. Starting with Splunk version 5, Splunk added data replication features that can eliminate most of these concerns. Let's take a quick look at the topic now.

The replication factor

When setting up a Splunk indexer cluster, you stipulate the number of copies of data that you want the cluster to maintain. Peer nodes store incoming data in buckets, and the cluster maintains multiple copies of each bucket. The cluster stores each bucket copy on a separate peer node. The number of copies of each bucket (that the cluster maintains) is known as the Splunk replication factor.

Let's try to explain this concept (of the replication factor) with a highly simplified example.

Keep in mind that a cluster (of indexes) can tolerate a failure of 1 less than your total replication factor. So, if you have configured 3 peer indexes, you have a replication...