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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

Scheduling the generation of dashboards


As we stepped through the wizard interface to create panels, we accepted the default value of Run search each time dashboard loads. If we instead select Run scheduled search, we are given a time picker.

When the dashboard is loaded, the results from the last scheduled run will be used. The dashboard will draw as quickly as the browser can draw the panels. This is particularly useful when multiple users use a dashboard, perhaps in an operations group. If there are no saved results available, the query will simply be run normally.

Be sure to ask yourself just how fresh the data on a dashboard needs to be. If you are looking at a week's worth of data, is up to one-hour-old data acceptable? What about four hours old? 24 hours old? The less often the search is run, the fewer resources you will use, and the more responsive the system will be for everyone else. As your data volume increases, the searches will take more time to complete. If you notice your installation...

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