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Splunk Essentials - Second Edition电子书

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1人正在读 | 0人评论 9.8

作       者:Betsy Page Sigman,Erickson Delgado

出  版  社:Packt Publishing

出版时间:2016-09-01

字       数:70.0万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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A fast-paced and practical guide to demystifying big data and transforming it into operational intelligence About This Book Want to get started with Splunk to analyze and visualize machine dataOpen this book and step into the world of Splunk. Leverage the exceptional analysis and visualization capabilities to make informed decisions for your business This easy-to-follow, practical book can be used by anyone, even if you have never managed any data before Who This Book Is For This book will be perfect for you if you are a Software engineer or developer or System administrators or Business analyst who seek to correlate machine data with business metrics and provide intuitive real-time and statistical visualizations. Some knowledge or experience of previous versions of Splunk will be helpful but not essential. What You Will Learn Install and configure Splunk Gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields Be comfortable with the Search Processing Language and get to know the best practices in writing search queries Create stunning and powerful dashboards Be proactive by implementing alerts and scheduled reports Use the Splunk SDK and integrate Splunk data into other applications Implement the best practices in using Splunk. In Detail 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. Style and approach This fast-paced, example-rich guide will help you analyze and visualize machine data with Splunk through simple, practical instructions.
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Splunk Essentials Second Edition

Splunk Essentials Second Edition

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Why subscribe?

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

1. Splunk in Action

Your Splunk.com account

Obtaining a Splunk.com account

Installing Splunk on Windows

Logging in the first time

Run a simple search

Creating a Splunk app

Populating data with Eventgen

Installing an add-on

Controlling Splunk

Configuring Eventgen

Viewing the Destinations app

Creating your first dashboard

Summary

2. Bringing in Data

Splunk and big data

Streaming data

Latency of data

Sparseness of data

Splunk data sources

Machine data

Web logs

Data files

Social media data

Other data types

Creating indexes

Buckets

Data inputs

Splunk events and fields

Extracting new fields

Summary

3. Search Processing Language

Anatomy of a search

Search pipeline

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. Data Models and Pivot

Creating a data model

Adding attributes to objects

Creating child objects

Creating an attribute based on a regular expression

Data model acceleration

The Pivot Editor

Creating a chart from a Pivot

Creating an area chart

Creating a pie chart showing destination details by airport code

Single value with trending sparkline

Rearranging your dashboard

Summary

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. Panes of Glass

Creating effective dashboards

Types of dashboard

Gathering information and business requirements

Dynamic form-based dashboard

Creating a Status Distribution panel

Creating the Status Types Over Time panel

Creating the Hits vs Response Time panel

Arranging the dashboard

Panel options

Pie chart - status distribution

Stacked area chart - Status Types Over Time

Column with line overlay combo chart - Hits vs Response Time

Form inputs

Creating a time range input

Creating a radio input

Creating a dropdown input

Static Real-Time dashboard

Single Value Panels with color ranges

Creating panels by cloning

Single Value Panels with trends

Real-time column charts with line overlays

Creating a map called a choropleth

Summary

7. Splunk SDK for JavaScript and D3.js

Introduction to Splunk SDKs

Practical applications of Splunk's SDK

Prerequisites

Creating a CRON Job

Creating a saved search

Creating the final dashboard\jobs.js

HTTP server

Rendering the chart

Summary

8. HTTP Event Collector

What is the HEC?

How does the HEC work?

How data flows to the HEC?

Logging in data

Using a token with data

Sending out the data request

Verifying the token

Indexing the data

Enabling the HEC

Generating an HEC authentication token

How to test the HEC with cURL and PowerShell

Using the HEC with dynamic UI events

JavaScript logging with the HEC

Summary

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

Subsearch

Using append

Using join

Using eval and if

Using eval and match with a case function

How to improve logs

Including clear key-value pairs

Creating events that are understandable to human readers

Remember to use timestamps for all events

Be sure your identifiers are unique

Log using text format, not binary

Use formats that developers can use easily

Log what you think might be useful at some point

Create use categories with meaning

Include the source of the log event

Minimize the number of multi-line events

Summary

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