Book Image

Splunk Operational Intelligence Cookbook - Third Edition

By : Josh Diakun, Paul R. Johnson, Derek Mock
Book Image

Splunk Operational Intelligence Cookbook - Third Edition

By: Josh Diakun, Paul R. Johnson, Derek Mock

Overview of this book

Splunk makes it easy for you to take control of your data, and with Splunk Operational Cookbook, you can be confident that you are taking advantage of the Big Data revolution and driving your business with the cutting edge of operational intelligence and business analytics. With more than 80 recipes that demonstrate all of Splunk’s features, not only will you find quick solutions to common problems, but you’ll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization. You’ll discover recipes on data processing, searching and reporting, dashboards, and visualizations to make data shareable, communicable, and most importantly meaningful. You’ll also find step-by-step demonstrations that walk you through building an operational intelligence application containing vital features essential to understanding data and to help you successfully integrate a data-driven way of thinking in your organization. Throughout the book, you’ll dive deeper into Splunk, explore data models and pivots to extend your intelligence capabilities, and perform advanced searching with machine learning to explore your data in even more sophisticated ways. Splunk is changing the business landscape, so make sure you’re taking advantage of it.
Table of Contents (12 chapters)

Charting the application's functional performance

Another of the data samples we loaded in Chapter 1, Play Time - Getting Data In, contained application logs from our application server. These have a Splunk source type of log4j and detail the various calls that our application makes to the backend database in response to user web requests, in addition to providing insight into memory utilization and other health-related information. We are particularly interested in tracking how our application is performing in relation to the time taken to process user-driven requests for information.

In this recipe, we will write a Splunk search to find out how our application is performing. To do this, we will analyze database call transactions and chart the maximum, mean, and minimum transaction durations over the past week.

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