Book Image

Splunk Essentials - Second Edition

By : Betsy Page Sigman, Soni, Erickson Delgado
Book Image

Splunk Essentials - Second Edition

By: Betsy Page Sigman, Soni, Erickson Delgado

Overview of this book

Splunk is a search, analysis, and reporting platform for machine data, which has a high adoption on the market. More and more organizations want to adopt Splunk to use their data to make informed decisions. This book is for anyone who wants to manage data with Splunk. You’ll start with very basics of Splunk— installing Splunk—and then move on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields. After this, you will learn to create various reports, XML forms, and alerts. You will then continue using the Pivot Model to transform the data models into visualization. You will also explore visualization with D3 in Splunk. Finally you’ll be provided with some real-world best practices in using Splunk.

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Splunk Essentials - Second Edition
Betsy Page Sigman | Soni | Erickson Delgado
Sep, 2016 | 3 hours 56 minutes
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Table of Contents (10 chapters)
Preface
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Splunk in Action
1. Splunk in Action
Your Splunk.com account
Installing Splunk on Windows
Creating a Splunk app
Populating data with Eventgen
Controlling Splunk
Configuring Eventgen
Viewing the Destinations app
Creating your first dashboard
Summary
2
2. Bringing in Data
2. Bringing in Data
Splunk and big data
Splunk data sources
Creating indexes
Buckets
Data inputs
Splunk events and fields
Extracting new fields
Summary
3
3. Search Processing Language
3. Search Processing Language
Anatomy of a search
Time modifiers
Filtering search results
Search command - stats
Search command - top/rare
Search commands - chart and timechart
Search command - eval
Search command - rex
Summary
4
4. Data Models and Pivot
4. Data Models and Pivot
Creating a data model
Data model acceleration
Rearranging your dashboard
Summary
5
5. Data Optimization, Reports, Alerts, and Accelerating Searches
5. Data Optimization, Reports, Alerts, and Accelerating Searches
Data classification with event types
Data normalization with tags
Data enrichment with lookups
Creating reports
Creating alerts
Search and report acceleration
Scheduling best practices
Summary indexing
Summary
6
6. Panes of Glass
6. Panes of Glass
Creating effective dashboards
Types of dashboard
Form inputs
Creating a time range input
Creating a radio input
Creating a dropdown input
Static Real-Time dashboard
Creating a map called a choropleth
Summary
7
7. Splunk SDK for JavaScript and D3.js
7. Splunk SDK for JavaScript and D3.js
Introduction to Splunk SDKs
Practical applications of Splunk's SDK
Creating the final dashboard\jobs.js
Summary
8
8. HTTP Event Collector
8. HTTP Event Collector
What is the HEC?
How does the HEC work?
How data flows to the HEC?
Summary
9
9. Best Practices and Advanced Queries
9. Best Practices and Advanced Queries
Temporary indexes and oneshot indexing
Searching within an index
Search within a limited time frame
Quick searches via fast mode
Using event sampling
Splunk Universal Forwarders
Advanced queries
How to improve logs
Summary

Chapter 5.  Data Optimization, Reports, Alerts, and Accelerating Searches

Finding the data that you need in Splunk is relatively easy, as you have seen in the previous chapters. Doing the same thing repeatedly, however, requires that you employ techniques that make data retrieval faster. In Chapter 2, Bringing in Data, you have been shown how to use data fields and to make field extractions. In Chapter 4, Data Models and Pivot, you learned how to create data models. You will continue that journey in this chapter by learning how to classify your data using event types, enrich your data using lookups and workflow actions, and normalize your data using tags.

Once you have all these essentials in place, you will be able to easily create reports, alerts, and dashboards. This is where Splunk really shines and your hard work so far will pay off.

In this chapter, we will cover a wide range of topics that showcase ways to manage, analyze, and get results from data. These topics will help...

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