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

Installing Splunk Enterprise

In this chapter, we will install and deploy Splunk instances to simulate the environment used to generate the BOTS Dataset v1 app in our case study. Our deployment will consist of one deployment server, one indexer, one search head, and three forwarders. We will utilize AWS EC2 instances for each of the components. Figure 2.1 shows the main components. We will deploy the AWS EC2 Splunk Enterprise Amazon Machine Image (AMI) to host the deployment server (deploymentserver), search head (searchhead), and indexer (indexer). These devices are represented as orange rectangles in Figure 2.1. The forwarders (forwarder1, forwarder2, and forwarder3) are AWS EC2 instances running Windows Server 2019. The forwarders in the BOTS Dataset v1 app are named we8105desk, de9041srv, and we1149srv, but we will use a simple naming convention (forwarder1, forwarder2, and forwarder3) in the instructions. They are represented as blue rectangles here:

Figure 2.1 – Windows event logging case study: Splunk deployment
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