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Splunk Operational Intelligence Cookbook

You're reading from   Splunk Operational Intelligence Cookbook Over 80 recipes for transforming your data into business-critical insights using Splunk

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Product type Paperback
Published in May 2018
Publisher
ISBN-13 9781788835237
Length 541 pages
Edition 3rd Edition
Languages
Tools
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Authors (4):
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Yogesh Raheja Yogesh Raheja
Author Profile Icon Yogesh Raheja
Yogesh Raheja
Josh Diakun Josh Diakun
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Josh Diakun
Derek Mock Derek Mock
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Derek Mock
Paul R. Johnson Paul R. Johnson
Author Profile Icon Paul R. Johnson
Paul R. Johnson
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Toc

Table of Contents (12) Chapters Close

Preface 1. Play Time – Getting Data In FREE CHAPTER 2. Diving into Data – Search and Report 3. Dashboards and Visualizations - Make Data Shine 4. Building an Operational Intelligence Application 5. Extending Intelligence – Datasets, Modeling and Pivoting 6. Diving Deeper – Advanced Searching, Machine Learning and Predictive Analytics 7. Enriching Data – Lookups and Workflows 8. Being Proactive – Creating Alerts 9. Speeding Up Intelligence – Data Summarization 10. Above and Beyond – Customization, Web Framework, HTTP Event Collector, REST API, and SDKs 11. Other Books You May Enjoy

Using modular inputs

Since Splunk 5.0, the ability to extend data input functionality has existed such that custom input types can be created and shared while still allowing for user customization to meet needs.

Modular inputs build further upon the scripted input model. Originally, any additional functionality required by the user had to be contained within a script. However, this presented a challenge, as no customization of this script could occur from within Splunk itself. For example, pulling data from a source for two different usernames needed two copies of a script or meant playing around with command-line arguments within your scripted input configuration.

By leveraging the modular input capabilities, developers are now able to encapsulate their code into a reusable app that exposes parameters in Splunk and allows for configuration through processes familiar to Splunk administrators.

This recipe will walk you through how to install the Command Modular Input, which allows for periodic execution of commands and subsequent indexing of the command output. You will configure the input to collect the data outputted by the vmstat command in Linux and the systeminfo command in Windows.

Getting ready

To step through this recipe, you will need a running Splunk server with a connection to the internet. No other prerequisites are required.

You will also need to download the Command Modular Input Add-on app from Splunkbase. This app can be found at https://splunkbase.splunk.com/app/1553/.

How to do it...

Follow the steps in this recipe to configure a modular input:

  1. Log in to your Splunk server.
  2. From the Apps menu in the upper left-hand corner of the home screen, click on the gear icon:
  3. The Apps settings page will load. Then, click on the Install App from file button.
  4. Click the Choose File button and select the app file that was previously downloaded from Splunkbase, then click the Upload button:
  5. After the app has been installed, from the menu in the top right-hand corner, click on the Settings menu and then click on the Data inputs link.
  6. Click on the Command section:
  7. In the Mod Input Name field, enter a name for the input of SystemInfo. If you are using Linux, enter /usr/bin/vmstat in the Command Name field. If you are using Windows, enter C:\Windows\System32\systeminfo.exe in the Command Name field:
Use the full path if the command to be executed cannot be found on the system PATH.
  1. In the Command Arguments field, enter any argument that needs to be passed to the command listed in the Command Name field. In the Command Execution Interval field, enter a value in seconds for how often the command should be executed (in this case, we will use 60 seconds). If the output is streamed, then leave this field empty and check the Streaming Output field:
  2. In the Source type section, you have the option to either select a predefined source type or select Manual and enter a value. For this recipe, select Manual as the source type and enter cp01_modular_input as the value for the source type.
  3. Click Next.
  4. If everything was successful, you should see a Modular input has been created successfully message:
  1. Click on the Start searching button. The Search & Reporting app will open with the search already populated based on the settings supplied earlier in the recipe. Splunk is now configured to execute the modular input you provided, every 60 seconds, in accordance with the specified interval. You can search for this data returned by the scripted input using the following search over an All time time range:
sourcetype=cp01_modular_input 

How it works...

Modular inputs are bundled as Splunk apps and, once installed, contain all the necessary configuration and code to display them in the Data inputs section of Splunk. In this recipe, you installed a modular input application that allows for periodic execution of commands. You configured the command to execute every minute and to index the results of the command each time, giving the results a source type of cp01_modular_input.

Modular inputs can be written in several languages and need to follow only a set of interfaces that expose the configuration options and runtime behaviors. Depending on the design of the input, they will either run persistently or run at an interval and will send data to Splunk as they receive it.

You can find several other modular inputs, including REST API, SNMP, and PowerShell, on the Splunk Apps site (https://splunkbase.splunk.com).

There's more...

See also

  • The Indexing files and directories recipe
  • The Getting data through network ports recipe
  • The Using scripted inputs recipe
You have been reading a chapter from
Splunk Operational Intelligence Cookbook - Third Edition
Published in: May 2018
Publisher:
ISBN-13: 9781788835237
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