5 questions for Dapr end users
Over the last weeks, I’ve invited several Dapr end users to share their Dapr experience with me in a short video interview. These people are all have different roles; engineer, architect, technical director, and CTO. What they have in common is that they all run Dapr in production.
I asked them the following questions:
- What do you like best about Dapr?
- What problem did Dapr solve for you?
- What was an important learning moment when you started with Dapr?
- Would you use Dapr again in a new project with similar requirements?
- What is your tip for a new Dapr user?
Watch the individual video interviews to hear their answers:
Miroslav Janeski, Technical Director at Init Norway
Gilles Flisch, Head of .NET Group Software Factory at Elia Group
Siri Varma, Software Engineer at Microsoft (Azure Security)
Florian van Dillen, Developer and Architect at 4dotnet
Jonas Juselius, CTO at OceanBox
Schedule a video interview
If you're also using Dapr in production and want to share your experience with me, please schedule a video interview with me using my Calendly.
More blog posts
Understanding Dapr Actors for Scalable Workflows and AI Agents
Dapr’s virtual actor model brings object-oriented simplicity to cloud-native, distributed systems. Learn what actors are, how Dapr Actors handle state, placement, timers, and failures, and when they’re the right tool for the job.
Local Development with Dapr PubSub and .NET Aspire
You’ve made the jump to .NET Aspire, and now you need to ensure this great experience results in production ready systems. Let’s catch up on the current state of .NET Aspire and Dapr with a sample project that makes use of the pubsub building block.
Making Agent-to-Agent (A2A) Communication Secure and Reliable with Dapr
The Agent-to-Agent (A2A) protocol enables agents to collaborate but lacks enterprise-grade security and reliability. Dapr bridges this gap with built-in mTLS, OAuth2/OIDC support, access control, secret management, and observability, making A2A secure, resilient, and production-ready across all languages and agent frameworks.
