Hi Ruben, I just checked the code and it seems you need to wait at least half the time of the trend window. So, in your case where you're looking back 7 days, you would need 3.5 days of data.

Hello Ricuarte, Thanks for your question and interest in this topic! For a deeper insight into how the algorithm works, I would like to refer you to DataMiner Prediction engine - DataMiner Dojo I believe...

Dear Bruno, Thanks for your question. Let me go over the main features to give you an idea of how much time is required for them: Alarm focus: In principle no alarm history is required, but it will need...

Dear Jarkko, this is an excellent question and one that we've recently been discussing internally. Unfortunately, I have to say that it is not yet possible at the moment, but we are exploring multiple...

Hello Paulo, I opened the code and investigated how the smart baseline is calculated in the case of a daily pattern deviation, assuming you do not select “handle weekend days separately”. The first...

Hi Arunkrishna, Thanks for letting us know! This should not happen and I'm wondering if maybe SLAnalytics didn't receive the data in real-time and hence thought there was a flatline. In order to investigate...

Hello Dave, Thanks for proposing this use case! It sounds interesting and your idea fits perfectly in what we’re aiming at within the data insights team. We’ve recently developed an algorithm that...

Hello Jens, thanks a lot for your questions! Here are some answers 🙂 1. As you suspect, the algorithm will detect the same pattern across different elements having the same protocol: so when defining...

Dear Alex, thanks for your question. I saw you mentioned in the title that you're talking about a smart baseline here. These baselines auto update themselves, so it seems to makes sense that the system...