Stay ahead of the game: Forecast IT capacity with Dynatrace Grail and Davis AI

Anticipatory management of cloud resources is essential for modern IT systems, and traditional reactive approaches often result in overwhelming alert storms due to their inability to scale with dynamic cloud environments. Dynatrace's Davis AI offers a proactive solution by using predictive analytics to forecast resource demands, thus preventing resource shortages and reducing unnecessary alerts outside business hours. This approach employs the Dynatrace Query Language (DQL) for data analysis and integrates AutoML to select optimal prediction models based on time series characteristics. By leveraging Dynatrace's AutomationEngine, organizations can automate predictive workflows, ensuring timely notifications for necessary resource adjustments. The Davis Forecast mechanism, embedded in the Grail data lakehouse, facilitates a shift from reactive to anticipative strategies, enhancing the reliability and efficiency of cloud operations. Additionally, users can explore these capabilities through Notebooks and integrate them into custom applications to address specific business needs, with support available through community engagement and comprehensive documentation.

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