How Dynatrace Saves You from Broken Kubernetes Clusters

Explore a 56-minute observability clinic focused on saving Kubernetes clusters from critical failures. Dive into the challenges of scaling Kubernetes adoption across organizations and learn essential best practices for managing quotas, limits, and observability. Follow along as Henrik Rexed, Cloud Native Advocate at Dynatrace, presents two real-world Kubernetes horror stories, demonstrating how to avoid such situations through proper practices and leveraging Dynatrace's features. Gain insights into enforcing standardized observability, collecting and storing various data types at scale, and providing crucial access to DevOps and SREs for effective troubleshooting. Witness live demonstrations, explore the importance of service mesh, and discover how tools like Kepler can assist with consumption monitoring. Access valuable resources, including the IsItObservable website, GitHub repository, and Dynatrace trial, to further enhance your Kubernetes management skills.

– Introduction
– What you're learning today
– Introduction to ServiceMesh
– First k8s Crash Story
– How Dynatrace helps
– Live Demo #1
– Second k8s Horror Story
– Live Demo #2
– Consumption Monitoring with Kepler
– Key Take Aways and Wrap Up