Kubernetes has become the go-to platform for deploying applications in recent years. And while it offers a multitude of impressive features, it also comes with a set of responsibilities and potential challenges – specifically around running scalable and resilient workloads.

That’s why our latest Observability Clinic addresses two critical production scenarios that have emerged in the context of Kubernetes.

• Substantial increase in response time after optimizing the resource allocation of the cluster.
• The side-effects of auto-scaling and its impact on other workloads.

To help identify those scenarios in your own cloud environment, Henrik Rexed, Cloud Native Advocate at Dynatrace, will guide you through Kubernetes event monitoring and essential metrics best practices. You’ll see first hand how the latest Dynatrace Kubernetes capabilities automate the detection and prevention of problems like these.

This clinic will also shed light on CNCF Keptn Metric Server's capabilities, emphasizing how it empowers users to configure practical and efficient autoscaling rules. By leveraging the Metric server, attendees will gain valuable insights into configuring realistic scaling parameters, and optimizing their Kubernetes deployments.

Join us for this comprehensive guide to understanding and mitigating common challenges faced when utilizing Kubernetes, with a specific focus on observability and efficient autoscaling.