AI-assisted log & event monitoring to simplify Kubernetes & multi cloud operations with Dynatrace
Intelligent and scalable observability for cloud-native architectures requires combining logs with other data sources including metrics, traces, events, and real user data. Ideally, all of these data streams should be acquired in context with full-stack dependency mapping. This allows for automating impact and root cause analysis across these different data sources without false positives!
In this Performance Clinic Michal Dec, Sr. Technical Product Manager, will walk us through Dynatrace’s log monitoring and analytics capabilities with a specific focus on k8s and cloud-native architectures. You will learn about the different use cases for your Cloud Ops, SREs, and development teams that Dynatrace’s Davis AI enables in your hybrid cloud environments.
In this Performance Clinic Michal Dec, Sr. Technical Product Manager, will walk us through Dynatrace’s log monitoring and analytics capabilities with a specific focus on k8s and cloud-native architectures. You will learn about the different use cases for your Cloud Ops, SREs, and development teams that Dynatrace’s Davis AI enables in your hybrid cloud environments.