I have a bunch of error strings which i am currently using to generate dashboards such as
of error strings matches per server
of all error string matches, etc
I have the list of error strings in a lookup file on which i am running my query to query the data in Splunk for the occurrence counts of the error strings
I am looking at a feasibility to use MLTK to predict the probability of occurrence of each error strings in the future.
Any help or suggestions on this regard would be helpful, i already have MLTK setup in my environment
Without knowing more about the data, I'd suggest two directions for investigation:
Without knowing more about the data, I'd suggest two directions for investigation:
thank you for your suggestions, i figured it on how to create the forecasting model (created one as well). i have saved the dashboard as well, but could not figure out where the dashboards are. I did not find any "Dashboards" tab in the MLTK app.
looked into the Scheduled jobs tab, but could not find any dashboard in it. the only way i am able to view it is when i add a new panel to the existing dashboard and then click on "View Dashboard"
isnt there a tab in MLTK where i can see the list of all dashboard, or is it some permission issue. (i had tried to modify the permission of the dashboard and given read permission to all in the app, still cant view it)
The easiest way, if you know the name of the dashboard, is to use the "Find" field in the top right corner. Type in the title of the dashboard and it'll pop up. Alternatively, you can make the dashboard visible to all apps and access via the Dashboards tab in the Search and Reporting app.
The MLTK will work if there is a pattern of these words in the past occurring or if there are fields which can indicate these error strings will occur.
Have you looked into this?
you mean to say there should be some field for each of these error strings, so splunk can predict that the corresponding error string will occur only when field occurs.
is not not possible to have a predictive future occurrence count for each of these error strings (keep in mind these error strings are not individual fields, they are populated via a lookup file) without having a separate field for each one.
my requirement is if today the count for error string "ABCD" is 58 then i need to predict the occurrence count of the error string "ABCD" after 1 month and draw a trendline based on it.