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Splunk Best Practices

Splunk Best Practices

By : Travis Marlette
4.8 (5)
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Splunk Best Practices

Splunk Best Practices

4.8 (5)
By: Travis Marlette

Overview of this book

This book will give you an edge over others through insights that will help you in day-to-day instances. When you're working with data from various sources in Splunk and performing analysis on this data, it can be a bit tricky. With this book, you will learn the best practices of working with Splunk. You'll learn about tools and techniques that will ease your life with Splunk, and will ultimately save you time. In some cases, it will adjust your thinking of what Splunk is, and what it can and cannot do. To start with, you'll get to know the best practices to get data into Splunk, analyze data, and package apps for distribution. Next, you'll discover the best practices in logging, operations, knowledge management, searching, and reporting. To finish off, we will teach you how to troubleshoot Splunk searches, as well as deployment, testing, and development with Splunk.
Table of Contents (11 chapters)
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1. Application Logging
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2. Data Inputs
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4. Knowledge Management
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5. Alerting
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6. Searching and Reporting
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7. Form-Based Dashboards
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9. App Creation and Consolidation
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10. Advanced Data Routing
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Summary

In this chapter, we have discussed how to take a series of apps from Splunkbase, as well as any dashboard that the user created, and put them into a Splunk app for ease of use. We have also talked about how to adjust the navigation XML to ease user navigation in such an app. In the next chapter, we will be discussing how to route data sets around an enterprise environment. We will also be discussing leveraging Splunk's data routing capabilities, effectively sending the same data (often OS level metrics such as CPU/disk/memory) to multiple destinations.

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