Implementing Splunk (Update)

Implementing Splunk (Update)

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Implementing Splunk (Update)

Buy this Book

Overview of this book

Implementing Splunk Second Edition

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Preface

Free Chapter

The Splunk Interface

Logging into Splunk

The home app

The top bar

The search & reporting app

Using the time picker

Using the field picker

The settings section

Summary

Understanding Search

Using search terms effectively

Boolean and grouping operators

Clicking to modify your search

Using fields to search

Using wildcards efficiently

All about time

Making searches faster

Sharing results with others

Search job settings

Saving searches for reuse

Creating alerts from searches

Summary

Tables, Charts, and Fields

About the pipe symbol

Using top to show common field values

Using stats to aggregate values

Using chart to turn data

Using timechart to show values over time

Working with fields

Summary

Data Models and Pivots

What is a data model?

What does a data model search?

Creating a data model

Summary

Simple XML Dashboards

The purpose of dashboards

Using wizards to build dashboards

Converting the panel to a report

Back to the dashboard

Scheduling the generation of dashboards

Summary

Advanced Search Examples

Using subsearches to find loosely related events

Using transaction

Determining concurrency

Calculating events per slice of time

Rebuilding top

Acceleration

Summary

Extending Search

Using tags to simplify search

Using event types to categorize results

Using lookups to enrich data

Using macros to reuse logic

Creating workflow actions

Using external commands

Summary

Working with Apps

Defining an app

Included apps

Installing apps

Building your first app

Editing navigation

Customizing the appearance of your app

Object permissions

The app directory structure

Summary

Building Advanced Dashboards

Reasons for working with advanced XML

Reasons for not working with advanced XML

The development process

The advanced XML structure

Converting simple XML to advanced XML

Module logic flow

Understanding layoutPanel

Reusing a query

Using intentions

Creating a custom drilldown

Third-party add-ons

Summary Indexes and CSV Files

Understanding summary indexes

When to use a summary index

When not to use a summary index

Populating summary indexes with saved searches

Using summary index events in a query

Using sistats, sitop, and sitimechart

How latency affects summary queries

How and when to backfill summary data

Reducing summary index size

Calculating top for a large time frame

Using CSV files to store transient data

Summary

Configuring Splunk

Locating Splunk configuration files

The structure of a Splunk configuration file

The configuration merging logic

An overview of Splunk .conf files

User interface resources

Summary

Advanced Deployments

Planning your installation

Splunk instance types

Common data sources

Sizing indexers

Planning redundancy

Working with multiple indexes

Deploying the Splunk binary

Using apps to organize configuration

Configuration distribution

Using LDAP for authentication

Using Single Sign On

Load balancers and Splunk

Multiple search heads

Summary

Extending Splunk

Writing a scripted input to gather data

Using Splunk from the command line

Querying Splunk via REST

Writing commands

Writing a scripted lookup to enrich data

Writing an event renderer

Writing a scripted alert action to process results

Hunk

Summary

Index

Customer Reviews

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Chapter 4. Data Models and Pivots

In this chapter, we will introduce the following:

Data Models
Pivots (along with pivot elements and filters)
Sparklines

So let's get started.

In Splunk, data models and pivots should be discussed together because data models drive (Splunk) pivots. So let's start by defining data models.

Implementing Splunk (Update)

Implementing Splunk (Update)

Overview of this book

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Current Title:

Implementing Splunk (Update)

Chapter 4. Data Models and Pivots