1/17/2024 0 Comments Splunk join documentationFortunately, Splunk has self-imposed limits so that users don’t take down a Splunk Environment by running an extreme number of poorly performing searches. One of the issues that occurs, as environments grow and more users start utilizing Splunk, is that the Splunk Scheduler often becomes overburdened or bloated. For example, if I want to know when my LIFX Light Bulbs are powered on, I can do that and schedule Splunk to email me when it happens. This is how automated searches are run and alerts are sent. It is used to automatically run searches without someone needing to have a web browser open typing out the Splunk Search Processing Language (SPL). In short, the Splunk Scheduler is the backbone of Splunk, as well as a number of apps and add-ons. Questions that I find to be more commonly overlooked are “Is my Software running optimally?” and “Am I utilizing the resources I have as best as I possibly can?” These questions are what I am aiming to give Splunk users more insight about – starting with the Splunk Scheduler and a specific problem I see very frequently that I call “Skipped Searches”. I’m not only talking here about questions like “Do I have enough CPUs?” and “Is my storage fast enough?”. What you also need to ensure with Big Data, is that your systems are performing well. For example, you should be re-evaluating predictive models for accuracy in some sort of regular manner and you should be spot checking your data to see if the quality of it is still the same over time. There are a number of topics surrounding Big Data that need to be considered as an organization progresses. Big data isn’t a set it and forget it endeavor.
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