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Implementing Splunk 7, Third Edition

You're reading from   Implementing Splunk 7, Third Edition Effective operational intelligence to transform machine-generated data into valuable business insight

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Length 576 pages
Edition 3rd Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (15) Chapters Close

Preface 1. The Splunk Interface FREE CHAPTER 2. Understanding Search 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Advanced Search Examples 7. Extending Search 8. Working with Apps 9. Building Advanced Dashboards 10. Summary Indexes and CSV Files 11. Configuring Splunk 12. Advanced Deployments 13. Extending Splunk 14. Machine Learning Toolkit

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 the following:

  • 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...
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