In this session we will learn how to use Elastic Observability to get a better understanding of our Kubernetes clusters and the applications that run on them. Join us to learn new ways to get your data into Elastic with Elastic Agent and discuss some of the best practices to shape up your Kubernetes monitoring solution. Learn about how ingest configuration can be done through Kubernetes manifests with the option to centrally manage it Deep dive into node scope vs cluster scope metrics collection and what you can learn from each. Understand how dynamic workload monitoring (aka autodiscovery) enables application teams to decide what needs to be monitored at workload level Automatic APM instrumentation, to automatically attach an APM Agent and collect APM traces from running Pods. Quick intro into watchers/alerts and how those can help us with issues’ detection. See all these combined with a hands on demo including logs and metrics collection, dynamic workload monitoring, APM instrumentation, and synthetics monitoring for applications. Furthermore, we will convert collected data into actionable observability with alerts and machine learning. Last but not least, learn about our planned next steps and discuss your feedback with us. Speakers: Christos Markou | Senior Software Engineer @Elastic & Miguel Luna | Principal Product Manager @Elastic