Recently we rolled out a couple new features to help you assess and prioritize your risk. These would be the Likelihood and Impact that you will see assigned to individual Insights Rules.
Likelihood is the probability that a system will experience impact described in the rule. Since we are trying to be proactive in detecting the conditions before there is an impact, Likelihood is an important factor when prioritizing work. The higher the Likelihood, the more urgent it is to proactively remediate the conditions, so you won’t be unexpectedly impacted.
Impact is similarly important for determining risk. If the impact is low, then the priority to fix would be lower. Something like an intermittent performance degradation that might be low impact, versus an issue that could eat your data for lunch. Data loss would be a higher impact, generally speaking.
When you combine Likelihood and Impact you get your Total Risk. Insights gives you these three metrics to help you make better decisions about what should be fixed first. One of the main goals of Insights is to give you the information necessary to decide what is the most important and urgent thing to fix in your environment. We strive to help you avoid being impacted by an unplanned outage.