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Observability Lab: Predictive Auto-Scaling for Kubernetes Workloads

Struggling to keep up with the demands of dynamic Kubernetes environments? Manual scaling is not only time-consuming and reactive but also prone to errors. In this demo we harness the power of Dynatrace Automations and Davis AI to predict resource bottlenecks and automatically open pull requests to scale applications. This proactive approach minimizes downtime, helps you to optimize resource utilization, and ensures your applications perform at their best.

Watch the full companion video on YouTube:

Watch it on YouTube

Read more and start your hands-on experience here.