Kubernetes Scaling - Predictive Insights and Automation with Dynatrace

Dive into a 17-minute video exploring Kubernetes scaling techniques using Dynatrace's Davis® AI for resource forecasting and automated pod scaling. Learn about setting correct application quotas, compare horizontal and vertical scaling methods, and understand why traditional autoscalers may fall short. Discover how Davis® AI predicts resource usage and integrates predictive scaling into GitOps workflows. Gain insights on handling unexpected scenarios and implementing these strategies in your Kubernetes environments. Access sample dashboards, hands-on demos, and detailed documentation to enhance your Kubernetes scaling capabilities.

Introduction
Why is auto-scaling important?
How can you scale in Kubernetes?
What about Horizontal and Vertical Pod Autoscalers?
Predicting resource consumption with Davis® AI
Using Davis® AI to scale Kubernetes Workloads
Expecting the unexpected
Conclusion and key takeaways