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Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

You're reading from  Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

Product type Book
Published in Jan 2013
Publisher Packt
ISBN-13 9781849693288
Pages 448 pages
Edition 1st Edition
Languages
Concepts
Author (1):
VINCENT BUMGARNER VINCENT BUMGARNER
Profile icon VINCENT BUMGARNER

Table of Contents (19) Chapters

Implementing Splunk: Big Data Reporting and Development for Operational Intelligence
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. The Splunk Interface 2. Understanding Search 3. Tables, Charts, and Fields 4. Simple XML Dashboards 5. Advanced Search Examples 6. Extending Search 7. Working with Apps 8. Building Advanced Dashboards 9. Summary Indexes and CSV Files 10. Configuring Splunk 11. Advanced Deployments 12. Extending Splunk Index

Planning redundancy


The term redundancy can mean different things, depending on your concern. Splunk has features to help with some of these concerns but not others. In a nutshell, up to and including Version 4.3, Splunk is excellent at making sure data is captured but provides essentially no mechanism for reliably replicating data across multiple indexers. Splunk 5, not covered in this book, adds data replication features that can eliminate most of these concerns.

Indexer load balancing

Splunk forwarders are responsible for load balancing across indexers. This is accomplished most simply by providing a list of indexers in outputs.conf, as shown in the following code:

[tcpout:nyc]
server=nyc-splunk-index01:9997,nyc-splunk-index02:9997

If an indexer is unreachable, the forwarder will simply choose another indexer in the list. This scheme works very well and powers most Splunk deployments.

If the DNS entry returns multiple addresses, Splunk will balance between the addresses on the port specified...

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