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Data Analytics Using Splunk 9.x

Data Analytics Using Splunk 9.x

By : Dr. Nadine Shillingford
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Data Analytics Using Splunk 9.x

Data Analytics Using Splunk 9.x

5 (5)
By: Dr. Nadine Shillingford

Overview of this book

Splunk 9 improves on the existing Splunk tool to include important features such as federated search, observability, performance improvements, and dashboarding. This book helps you to make the best use of the impressive and new features to prepare a Splunk installation that can be employed in the data analysis process. Starting with an introduction to the different Splunk components, such as indexers, search heads, and forwarders, this Splunk book takes you through the step-by-step installation and configuration instructions for basic Splunk components using Amazon Web Services (AWS) instances. You’ll import the BOTS v1 dataset into a search head and begin exploring data using the Splunk Search Processing Language (SPL), covering various types of Splunk commands, lookups, and macros. After that, you’ll create tables, charts, and dashboards using Splunk’s new Dashboard Studio, and then advance to work with clustering, container management, data models, federated search, bucket merging, and more. By the end of the book, you’ll not only have learned everything about the latest features of Splunk 9 but also have a solid understanding of the performance tuning techniques in the latest version.
Table of Contents (18 chapters)
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1
Part 1: Getting Started with Splunk
5
Part 2: Visualizing Data with Splunk
10
Part 3: Advanced Topics in Splunk

Clustering and Advanced Administration

A cluster is a set of servers that are pooled together to work as one. Traditionally, the concept of a cluster is known to increase availability, fault tolerance, and efficiency. If one server fails, then the cluster reconfigures itself to ensure that the application is still available to users. For this to work, there must be a method of ensuring that data is shared between the individual cluster members or that there is some form of management or record keeping. There also needs to be a process in place to facilitate data recovery so that data fidelity can be maintained. We can configure search head and indexer clusters in Splunk to achieve all these advantages. In this chapter, we will discuss how search head and indexer clusters work and the components that make up each type of cluster. We will also look at a high-level overview of cluster configuration commands used to administer search head and indexer clusters. Finally, we’ll look...

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