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Kubernetes Scaling - Predictive Insights and Automation with Dynatrace

Kubernetes Scaling - Predictive Insights and Automation with Dynatrace

Dynatrace via YouTube Direct link

Why is auto-scaling important?

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Why is auto-scaling important?

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Classroom Contents

Kubernetes Scaling - Predictive Insights and Automation with Dynatrace

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  1. 1 Introduction
  2. 2 Why is auto-scaling important?
  3. 3 How can you scale in Kubernetes?
  4. 4 What about Horizontal and Vertical Pod Autoscalers?
  5. 5 Predicting resource consumption with Davis® AI
  6. 6 Using Davis® AI to scale Kubernetes Workloads
  7. 7 Expecting the unexpected
  8. 8 Conclusion and key takeaways

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