Explore a comprehensive webinar on optimizing Kubernetes resiliency and costs using Dynatrace. Gain insights from Henrik Rexed, Cloud Native Advocate, as he demonstrates measuring cloud costs for K8s clusters, understanding non-optimized resource allocation impacts, and leveraging the latest Dynatrace features for Kubernetes. Learn to implement Horizontal Pod Autoscaler (HPA) with Dynatrace metrics, observe and monitor K8s workloads effectively, and identify auto-scaling side effects. Through live demos and practical examples, master techniques for resizing workloads, utilizing Dynatrace's out-of-the-box K8s alerting, and implementing advanced scaling strategies with Keptn Metrics Server. Discover essential takeaways for running scalable, resilient Kubernetes workloads while maintaining cost efficiency in this informative session.
Mastering Kubernetes Resiliency and Costs with Dynatrace
Overview
Syllabus
- Introduction
- What you're going to learn today
- Once Upon a Time eCommerce Story
- The cost of a cluster
- Everything has a price
- Optimizing the Cost of a Cluster
- Resize your Workload Size
- Overview Demo #1
- Live Demo #1
- Optimization Results
- Request Limits Explained
- Dynatrace Out-of-the-Box K8s Alerting
- K8s Observability with Dynatrace Explained
- Live Demo #2 - Dynatrace K8s Settings
- Auto-Scaling your K8s Cluster
- HPA Horizontal Pod Autoscaler
- Overview Demo #2 - HPA
- Live Demo #2 - HPA
- HPA Scaling Results Explained
- Better Scaling with Keptn Metrics Server
- Live Demo #3 - Scaling based on Throttling
- HPA Scaling Results based on Throttling
- Take Aways
- Open Q&A
Taught by
Dynatrace
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