In an earlier post this week, we introduced SignifAI Decisions - the most flexible, intuitive correlation engine for SRE and DevOps teams. Beyond activating automatically generated logic and building basic Decisions to reduce alert noise, there are a whole host of features that help create stronger correlations and give you deeper insight into your production system. Let's explore a few of them... Consolidate events with anomaly detection In the advanced mode of SignifAI's Decision builder, you can specify a timeframe and minimum number of incidents for a Decision. The timeframe is the maximum amount of time between incoming incidents in order for them to be correlated based on the logic you specify in the builder. Specifying a shorter timeframe for broader and more generic logic and a longer timeframe for very narrow logic can help ensure the accuracy and relevance of your correlations. You can also specify the minimum number of incidents that need to match the Decision logic before being correlated. This is useful in cases where a large number of incoming incidents, or a spike in the average incident volume, would indicate a correlation - for example, in the event of a datacenter outage, when several outage orCustom Link;The post Decisions: a deeper look appeared first on Thoughts on DevOps and Machine Intelligence by SignifAI.