Intelligent and scalable observability for cloud-native architectures require combining logs with other data sources including metrics, traces, events and real user data. Ideally all this 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...

In Episode 1 you learned how Dynatrace automates observability in your dev & testing environments, how it helps you diagnose distributed traces (we call them PurePaths) and how Dynatrace’s Davis AI automates the identification of code & performance hotspots. In Episode 2, Sergio Hinojosa, focuses on automating the testing and evaluation of your code in your dev & test environment. Sergio has extended his CodeLabs with Automat...