Book Image

Splunk 7.x Quick Start Guide

By : James H. Baxter
Book Image

Splunk 7.x Quick Start Guide

By: James H. Baxter

Overview of this book

Splunk is a leading platform and solution for collecting, searching, and extracting value from ever increasing amounts of big data - and big data is eating the world! This book covers all the crucial Splunk topics and gives you the information and examples to get the immediate job done. You will find enough insights to support further research and use Splunk to suit any business environment or situation. Splunk 7.x Quick Start Guide gives you a thorough understanding of how Splunk works. You will learn about all the critical tasks for architecting, implementing, administering, and utilizing Splunk Enterprise to collect, store, retrieve, format, analyze, and visualize machine data. You will find step-by-step examples based on real-world experience and practical use cases that are applicable to all Splunk environments. There is a careful balance between adequate coverage of all the critical topics with short but relevant deep-dives into the configuration options and steps to carry out the day-to-day tasks that matter. By the end of the book, you will be a confident and proficient Splunk architect and administrator.

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Table of Contents (12 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Introduction to Splunk
Introduction to Splunk
What is Splunk?
Installing Splunk for free
Splunk components
Splunk processing tiers
Splunk events
Splunk information resources
Summary
2
Architecting Splunk
Architecting Splunk
Selecting a Splunk configuration
Selecting Splunk hardware options
Summary
3
Installing and Configuring Splunk
Installing and Configuring Splunk
Installing Splunk Enterprise
Configuring Splunk components
Documenting your Splunk deployment
Summary
4
Getting Data into Splunk
Getting Data into Splunk
Installing Splunk universal forwarder
Setting up a heavy forwarder
Configuring other data source inputs
Configuring an HTTP Event Collector
Introduction to apps
Using the deployment server
Managing Splunk Indexes
Splunk sourcetypes
Using the cluster master
Summary
5
Administering Splunk Apps and Users
Administering Splunk Apps and Users
Using the deployer
Configuring users and roles
Best practices for administering Splunk
Supporting your Splunk Deployment
Summary
6
Searching with Splunk
Searching with Splunk
The Splunk Web interface
Creating Splunk searches
Visualizing search results
Advanced search commands
Summary
7
Splunk Knowledge Objects
Splunk Knowledge Objects
Field extractions
Other knowledge objects
Summary
8
Splunk Reports, Dashboards, and Alerts
Splunk Reports, Dashboards, and Alerts
Introduction
Creating reports
Creating a dashboard
Creating an alert
Summary
9
Splunk Applications
Splunk Applications
Splunk apps and add-ons
Creating a Splunk app
Using Splunkbase
Splunk DB Connect
Splunk Premium apps
Summary
10
Advanced Splunk
Advanced Splunk
Troubleshooting Splunk
Performance and capacity
REST API endpoints
Splunk Monitoring Console
Splunk development
Additional study topics
Summary
11
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Selecting a Splunk configuration

At a high level, the type and size of the Splunk solution you build will depend mostly on two factors:

  • The volume of data you will be indexing each day
  • The peak number of concurrent searches that will be running

The volume of data indexed will be the average daily total of all the inputs from your various data sources—server logs, network and security devices, and so on. The number of concurrent searches includes both ad hoc searches from users, and the number of scheduled saved searches that will be running periodically to populate reports, dashboards, and alerts. To determine these factors you will need to collect some data from your user communities and do some fairly straightforward calculations.

Data collection – data inputs

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