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  • Book Overview & Buying Implementing Splunk: Big Data Reporting and Development for Operational Intelligence
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Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

By : VINCENT BUMGARNER
3.9 (11)
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Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

3.9 (11)
By: VINCENT BUMGARNER

Overview of this book

Splunk is a data collection, indexing, and visualization engine for operational intelligence. It's a powerful and versatile search and analysis engine that lets you investigate, troubleshoot, monitor, alert, and report on everything that's happening in your entire IT infrastructure from one location in real time. Splunk collects, indexes, and harnesses all the fast moving machine data generated by our applications, servers, and devices - physical, virtual, and in the cloud.Given a mountain of machine data, this book shows you exactly how to learn to use Splunk to make something useful from it. Depending on your needs, you can learn to search, transform, and display data, or learn to administer your Splunk installation, large or small. "Implementing Splunk: Big Data Reporting and Development for Operational Intelligence" will help you get your job done faster, whether you read from the beginning or jump to what you need to know today. New and experienced users alike will find nuggets of wisdom throughout.This book provides you with valuable examples and step-by-step instructions, showing you how to take advantage of everything Splunk has to offer you, to make the most out of your machine data."Implementing Splunk: Big Data Reporting and Development for Operational Intelligence" takes you on a journey right from inception to a fully functioning implementation of Splunk. Using a real-world data walkthrough, you'll be shown how to search effectively, create fields, build dashboards, reports, and package apps, manage your indexes, integrate into the enterprise, and extend Splunk. This practical implementation guide equips you with high-level knowledge for configuring, deploying, extending, and integrating Splunk. Depending on the goal and skills of the reader, enough topics are covered to get you on your way to dashboard guru, app developer, or enterprise administrator. This book uses examples curates reference, and sage advice to help you make the most of this incredibly powerful tool.
Table of Contents (14 chapters)
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13
Index

Common data sources

Your data may come from a number of sources; these can be files, network ports, or scripts. Let's walk through a few common scenarios.

Monitoring logs on servers

In this scenario, servers write their logs to a local drive, and a forwarder process monitors these logs. This is the typical Splunk installation.

The advantages of this approach include:

  • This process is highly optimized. If the indexers are not overworked, events are usually searchable within a few seconds.
  • Slowdowns caused by network problems or indexer overload are handled gracefully. The forwarder process will pick up where it left off when the slowdown is resolved.
  • The agent is light, typically using less than 100 megabytes of RAM and a few percent of one CPU. These values go up with the amount of new data written and the number of files being tracked. See inputs.conf in Chapter 10, Configuring Splunk, for details.
  • Logs without a time zone specified will inherit the time zone of the machine running the forwarder...
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