Book Image

Data Analytics Using Splunk 9.x

By : Dr. Nadine Shillingford
5 (1)
Book Image

Data Analytics Using Splunk 9.x

5 (1)
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)
1
Part 1: Getting Started with Splunk
5
Part 2: Visualizing Data with Splunk
10
Part 3: Advanced Topics in Splunk

Summary

This has been an interesting chapter on increasing Splunk fault tolerance and security. Splunk indexer and search head clusters give us the ability to increase the availability of data in the Splunk deployment. The search head cluster captain coordinates how configurations and knowledge objects are shared across cluster members. A functioning search cluster captain is important for the proper running of the search head cluster and Splunk has built-in processes for ensuring that the cluster can resume after any mishaps. An indexer cluster is managed by the cluster manager. We explored different scenarios where the state of the cluster is disturbed and looked at the steps that the cluster manager takes to remedy the situation. We got a high-level overview of how search head and indexer clusters are configured using CLI commands or by modifying the server.conf file.

In the next chapter, we will explore data models, acceleration, and other ways to improve performance.

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