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1
Introduction
2
Why is auto-scaling important?
3
How can you scale in Kubernetes?
4
What about Horizontal and Vertical Pod Autoscalers?
5
Predicting resource consumption with Davis® AI
6
Using Davis® AI to scale Kubernetes Workloads
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Expecting the unexpected
8
Conclusion and key takeaways
Description:
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.

Kubernetes Scaling - Predictive Insights and Automation with Dynatrace

Dynatrace
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