Anticipatory management of cloud resources within highly dynamic IT systems is a critical success factor for modern companies.
Threshold-based alerting does not scale in highly dynamic IT systems. Dynatrace’s solution to this is probabilistic forecasting on all of your observability data whether it is infrastructure, service, application, or business-related. This allows you to remove unnecessary noise by moving from reactive to predictive IT resiliency automation.
In this Observability Clinic with Andreas Grabner @andreas_grabner , Linda Gratz @LindaGratzer and Bernhard Kepplinger from the Dynatrace Data Science team walk us through the new forecasting capabilities. Tune in and learn about the mathematical and statistical models used, how you can use forecasts in Notebooks, and how to leverage forecasted data in Dynatrace Automation Workflows to e.g.: auto-scale your infrastructure based on probabilistic forecasting.
To learn more, read the blog from Wolfgang Beer: https://dynatr.ac/3LQRbXt
Chapter List:
00:00 – Introduction
01:27 – What you're going to learn today
01:52 – Reactive vs. Predictive
06:42 – Probabilistic Forecasting
10:42 – The Algorithm
17:38 – Hands-On Demo of Forecasting
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