Cloud lock-in isn't just about where your data lives—it's about how deeply cloud-specific code permeates your applications. Mark Fussell, co-creator of Dapr and CEO of Diagrid, joins Cory O'Daniel to explore how Dapr provides clean abstractions for common distributed system patterns, enabling teams to build portable applications without sacrificing cloud-native capabilities.

The conversation covers:

• How Dapr creates a clean separation between application code and underlying infrastructure services like messaging, state management, and secrets
• Why platform teams struggle with tight coupling between applications and infrastructure, and how Dapr solves this problem
• The benefits of Dapr's sidecar architecture for local development, testing, and production environments
• How Dapr automatically handles cross-cutting concerns like security, observability, and resiliency without boilerplate code
• Introduction to Dapr's workflow engine for durable execution and the emerging world of stateful AI agents

Whether you're a platform engineer struggling with cloud lock-in or a developer tired of rewriting code for different infrastructures, this conversation demonstrates how Dapr can simplify your distributed systems while maintaining access to the unique capabilities of each cloud provider.

Guest: Mark Fussell, Co-founder of Dapr and CEO of Diagrid

Mark Fussell is the CEO of Diagrid, a cutting-edge company that simplifies building and scaling cloud-native applications. As the co-founder of Dapr (Distributed Application Runtime), Mark has played a pivotal role in shaping the future of modern application development by empowering developers to build resilient, distributed systems with ease. With decades of experience in the software industry, Mark has been a driving force behind innovative solutions that bridge the gap between developers and complex infrastructure.

Diagrid

Dapr

Links to interesting things from this episode:

• "XML Bible" by Elliotte Rusty Harold
• OpenTelemetry
• SPIFFE
• DataGalaxy case study
• Cloud Native Computing Foundation