About this episode

This episode explores how Dapr and KEDA are transforming cloud-native application development and their implications for observability.

In this episode we explore how Dapr and KEDA—two CNCF graduated projects—are reshaping cloud-native application development and what that means for observability. From event-driven architectures to autoscaling and service runtime, we discuss how these building blocks fit into modern systems. We discuss major capabilities around resilience, scalability, observability and even agentic AI support. Our guest for this episode is Yaron Schneider, co-creator of both Dapr and KEDA projects, and co-founder and CTO of Diagrid. He also brings years of leadership at Microsoft on scalable cloud architecture. You can read the recap posts: Part 1 - Dapr: https://medium.com/p/eb2f4013d9a1/ Part 2 - KEDA: https://medium.com/p/d74f75c0021a/ Show Notes: 00:00 - episode intro 01:19 - guest intro and Dapr & KEDA intro 04.53 - why Microsoft created KEDA 14:43 - why Microsoft decided to open-source KEDA 16:58 - why Microsoft created Dapr 24:52 - observability in Dapr 33:38 - shifting from logs to traces 37:46 - building a startup around foundation-led open source 46:22 - agentic AI support in Dapr 49:11 - Dapr updates and roadmap 52:15 - KEDA updates and roadmap 53:50 - Dapr at KubeCon NA 55:08…

People in this episode

Host: Dotan Horovits

Guest: Yaron Schneider

Topics covered

• cloud-native application development
• observability
• event-driven architectures
• autoscaling
• service runtime
• resilience
• scalability

Keywords

• Dapr
• KEDA
• cloud-native
• observability
• event-driven
• autoscaling
• scalability
• agentic AI

Mentioned in this episode

Organizations: Microsoft, Diagrid, CNCF

Products: Dapr, KEDA

Books & works: OpenTelemetry Collector user survey

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