Splunk Alerts

Splunk alerts are used in order to monitor all the specific events that respond well. These alerts are used to save the search that looks for the specific events within the schedule. The alert triggers can be done whenever the search results will meet all the specific conditions. You can also use all the Splunk alert actions to reciprocate all the alert triggers.

Splunk Alerts - Table of Content

Triggering Scenarios and Types of Alerts:

While choosing real-time or scheduled alerts, you definitely have to configure the results that trigger the alerts. It depends on the particular events that you are going to monitor, which is especially needed for the purpose of real-time alerts that can trigger all the scheduled results that can meet all certain circumstances. The following are some of the listed scenarios that can be used for triggering and alert types.

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Alert Scheduling:

The scheduled alert is specifically used to search all the particular events on the regular basis, which is used to monitor all the specific conditions and requirements too. You can monitor the real-time process and immediate scheduling by using this scheduled alert.


  • When an online retailer set a daily goal for 500 sales, then the admin panel will automatically create a scheduled alert in order to monitor all the performance of sales without any hassle. In this, the admin scheduled the alert by searching the sales events every day and configuring all the alerts that trigger the maximum number of results.
  • If an admin considers monitoring how many times that 404 error page occurs while searching for the particular one, then the admin at Splunk alerts will create a perfect scheduled alert for all the 404 errors for every hour.
  • The admin has a choice in order to create the entire scheduled alert whether the particular host has to send the data to the Splunk category in the last couple of hours. Then he scheduled all the alerts to search for particular events for every 3 hours. Now the admin can configure the alert if there is no search result for the scheduled one.

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Real-Time Alerts in Splunk:

The real-time alerts in Splunk are used to search for particular events continuously. These types of alerts are used in the entire situation in order to create an immediate response and monitoring services. You can use these real-time alerts to trigger the results in specific conditions that can meet within a particular rolling time.

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Per-Result Triggering:

The per-result triggering condition in the real-time alerts is also called a per-result alert. We can use this particular alert type to search for particular events and to get all the notifications.


When using the high availability of the deployment you can use this triggering process caution. If it is not available, the real-time search will not want the search that may leave incomplete. It will recommend making use of the scheduled alert during the deployment. 

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The following are some of the examples that help to use this per-result triggering in Splunk alerts.

  • When we are using the social networking website, the admin would want to well know all about the login failures that are currently occurring. It can automatically set the real-time alert search for all failed login attempts. Then this per-result triggering will help all the conditions to track all the failed attempts that have been done by them previously.
  • When an admin wants to monitor all the sets of hosts for particular errors in real-time, some of the errors can need an immediate response when compared to others. Now the admin has to set up all the real-time alerts with the help of pre result-triggering process.

Rolling Time Window Triggering:

The rolling time window triggering the real-time alerts is also called the rolling window alert. This triggering Splunk alert is used for a particular time window in order to monitor the data in real-time.


The following are some of the scenarios that are explained below to explain the rolling time window triggering in the real-time Splunk alerts.

  • If the admin wants to get the notifications while the user has three failed logins within ten minutes of time, then the admin can set up this real-time alert for searching all the failed logins that can configure the rolling ten-minute time window. The admin has a chance to throw the alert that can trigger only once an hour for the failed logins
  • If the admin wants to well know about a web application that has more than five database connection errors within a minute, then it can configure a real-time alert to search for all the errors. By using this rolling time window triggering the alerts search return five results within a fraction of a minute.

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How to Configure the Alert Trigger Condition?

By using the Splunk alerts you can search for all the events either on a schedule or in real-time. It doesn't matter how to trigger the search results every time. The trigger conditions will help us to monitor all the patterns in the particular event data or even certain events,

The throttling alert in Splunk alerts is different to configure the triggering conditions. Whenever you create a trigger condition the search results can be evaluated to check all the matched conditions, then the throttling controls the suppressed trigger process for a particular period of time.

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How Trigger Conditions and Searches will Work Together?

The triggering conditions in the Splunk alerts will work as a secondary search that can evaluate the entire search results of the alerts. If it doesn’t show any results then the alert doesn’t trigger and vice versa.

By depending on all the alert actions that we have chosen you can access all the information which may trigger the results. While the secondary search for the trigger condition will not determine the information that can alert the actions. Then the result fields and the remaining information will come from the initial base search.

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Last updated: 23 Feb 2024
About Author


Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups. Connect with her via LinkedIn and Twitter .

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