Modernize faster with serverless and end-to-end observability
summary
Claims that end-to-end observability on AWS lets teams modernize faster by automatically tracing thousands of serverless functions and surfacing root causes. Uses Dynatrace components: Dynatrace OneAgent, the new Grail data store, and the Davis AI engine, plus a Dynatrace Lambda layer and CloudWatch/OpenTelemetry integrations. Shows automated distributed traces across Lambda → DynamoDB, flags cold starts, and aggregates noisy alerts into single AI-detected problems. Cites customers with tens of thousands of functions and ~90% Lambda adoption and demonstrates the instrumentation and RCA actually working in live demos.
AI-written summary · about
chapters (7)
- 0:00Introduction to Dynatrace
- 4:28Core platform technologies
- 9:59Serverless architectures
- 22:25Observability challenges
- 28:59Proactive monitoring tools
- 38:35Live demo and key insights
- 52:33AI-driven problem analysis
related talks
33mAIOps-driven cloud automation with Dynatrace observability platform
24mObservability across serverless asynchronous managed services
33mAIOps-driven cloud automation with Dynatrace observability platform
34mObservability in Serverless Application
14mState of Serverless DevEx & Observability
24mObservability with AWS
41mLive Coding on Observability for Serverless
43mObservability for Serverless
