Steven Wright shows off a neat feature in the SentryOne product:
With that in mind, SentryOne has been working toward integrating advanced predictive analytics into our products. SentryOne 18.5 includes the first feature set to make use of advanced analytics and machine learning technology—introducing advanced Storage Forecasting.
In its most advanced configuration, SentryOne now applies machine learning algorithms to produce daily usage forecasts for all logical disks on your Windows servers. A forecast is customized for each volume, and each day the system will analyze its previous forecasts to learn how to adjust with each new run. This is done by generating forecasts using multiple algorithms and combining the results into an ensemble forecast. Each day, the system will review how each component forecast performed and weigh it proportionally within the ensemble. Over time, the system learns the unique workload of each volume and fine-tunes its forecasts accordingly.
There are several places within the SentryOne client where you can review and act on this information to prevent outages or perform capacity planning. Let’s start with the Disk Space tab.
With my only information being the blog post (and especially the pictures), I’d guess that they’re probably using some variant of ARIMA to calculate disk utilization.
When it’s in Advanced mode, it uses three to four different algorithms. When in Simple mode, it uses linear regression.