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hi in this two-part video series Id like to walk you through the process of using data dogs log pattern matching to discover grok parsing rules and drive exclusion filters during these two videos well take a look at some dotnet logs that we perhaps like to prevent being indexed as they had very little value operationally and ultimately reduce some of our log costs in this first part well introduce these logs use pattern matching to identify suitable Grug parsing rules and then applying these rules within pipelines to ensure our logs are indexed effectively this will allow us to extract some useful information and store this as metrics in the second video will then set up exclusion filters to prevent the logs from being indexed so here in the logs Explorer we see all of the logs within our main index over the past 15 minutes Id like to focus on just our net logs so Ill use the auto suggests search bar to filter these logs we now see that we have around
