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

Although containers, namely Docker, have been around since 2013, they are only recently being accepted as a solution in modern organizations at a large scale. Container technology offers organizations flexibility and scalability at a lower cost. In this chapter, we looked at how Docker and Kubernetes work. We also looked at the basic installation and deployment steps for each tool. Finally, we ended the discussion with information on logging and securing containers.

We’ve also reached the end of this book. We looked at the different components that make up Splunk, including indexers, search heads, and forwarders. We installed and configured a simple Splunk deployment in AWS. We used different methods, including the configuration files and Splunk Web, to onboard and normalize data into our environment. Next, we used the Splunk BOTS v1 dataset to learn SPL, including using different types of commands, lookups, and macros. We used the data in the BOTS v1 dataset to...