"It's all about building distributed microservices applications and the complexity that developers face today. Today, basically, there's still a mess of frameworks that people put together, repetitive boilerplate code, reinventing the software pattern, and having to stitch together reliability and security into all of that. We addressed a lot of these challenges with the Dapr open source project."
"Catalyst, he said, now allows developers to leverage Dapr, no matter which language they use and which platform they prefer. Previously, Diagrid's Conductor project was something enterprises had to manage on their own using Kubernetes. Not every company is interested in doing that."
"Workflows is very, very important to developers because it is used in a lot of ways. For example, we're seeing a lot of companies using Dapr Workflows to build generative AI workloads. Thales, the large multinational French company - they built their entire Gen AI infrastructure on top of Dapr and we're seeing more and more companies doing that too."
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