Real-World Docker Images für .NET

Docker Images erlauben die standardisierte Verteilung und den homogenen Betrieb von Anwendungen, unabhängig der gewählten Technologie oder Programmiersprache. Jedoch gilt es einiges beim Erstellen von Docker Images zu beachten.

In diesem Webinar zeigt Cloud-Native-Enthusiast und Docker Captain Thorsten Hans, wie Docker Images für reale .NET-Projekte aussehen sollten, um unterschiedliche Aspekte wie effizientes Debugging und die Inner-Loop Performance zu adressieren. Darüber hinaus werden Sie lernen, wie Sie potenzielle Stolpersteine und Schwächen der “Standard”-.NET-Dockerfiles von Microsoft ausmerzen.

Transcript

1. Real-world Docker images for .NET
   Thorsten Hans
   @ThorstenHans
   Cloud-Native Consultant
   

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2. Cloud-Native Consultant @ Thinktecture
   #Azure #Kubernetes
   #Cloud-Native #Docker
   Thorsten Hans
   thorsten.hans@thinktecture.com
   thinktecture.com
   thorsten-hans.com
   @ThorstenHans
   

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3. Why are you here?
   (What’s your experience with Docker)
   

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4. What we will cover today
   • Introduction
   • Production grade Docker images for .NET Apps
   • Remote debugging .NET Apps in Docker containers
   • Inner-Loop Performance for .NET Apps with Docker
   • Conclusion
   Talking Points
   

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5. Why are we talking about that
   • Different requirements must be addressed when building Docker images
   • Robust and secure for production usage
   • Troubleshooting and debugging should be easy
   • Fast feedback is required for inner-loop experience
   • Sometimes you may want to address all of those requirements using a single Dockerfile
   Introduction
   

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6. What we will cover today
   • Introduction
   • Production grade Docker images for .NET Apps
   • Remote debugging .NET Apps in Docker containers
   • Inner-Loop Performance for .NET Apps with Docker
   • Conclusion
   Talking Points
   P R
   

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7. - We’ll start from the default Dockerfile generated by VS Code
   - We’ll optimize overall image build-time by
   - Removing unnecessary stages
   - Streamline build and publish for .NET
   - Address common pitfalls for running real-world workloads in containers
   Production grade Docker images for .NET Apps
   

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8. Production grade Docker images for .NET Apps
   Demo
   

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9. What we will cover today
   • Introduction
   • Production grade Docker images for .NET Apps
   • Remote debugging .NET Apps in Docker containers
   • Inner-Loop Performance for .NET Apps with Docker
   • Conclusion
   Talking Points
   

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10. - VS Remote Debugger is not installed by default
    - Remote debugger could be
    - baked into the Docker Image
    - Installed on demand using docker exec (VSCode does that too, but it’s terrible slow)
    - Consider strict tagging policies when baking remote debugger into your images to
    differenciate between debug- and non-debug images
    Remote debugging .NET Apps in Docker containers
    

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11. Remote debugging .NET Apps in Docker containers
    Demo
    

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12. What we will cover today
    • Introduction
    • Production grade Docker images for .NET Apps
    • Remote debugging .NET Apps in Docker containers
    • Inner-Loop Performance for .NET Apps with Docker
    • Conclusion
    Talking Points
    E
    

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13. - As developers, we want fast feedback to improve our overall productivity
    - Hot-Reload is provided by dotnet watch
    - Rude edits will result in the app process being restarted
    - Set DOTNET_WATCH_RESTART_ON_RUDE_EDIT=true to force restart also when rude edits happen
    Inner-Loop Performance for .NET Apps with Docker
    

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14. Inner-Loop Performance for .NET Apps with Docker
    Demo
    

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15. What we will cover today
    • Introduction
    • Production grade Docker images for .NET Apps
    • Remote debugging .NET Apps in Docker containers
    • Inner-Loop Performance for .NET Apps with Docker
    • Conclusion
    Talking Points
    

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16. What we’ve covered
    • You’ve seen how to
    • optimize “OOB-Dockerfiles” for .NET Apps
    • add VS Remote Debugger to Docker images for .NET
    • optimze your inner-loop performance when building .NET Apps
    Conclusion
    

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17. What we’ve covered
    • Identify and address different requirements as early as possible
    • Optimize your Docker images to stay productive in the inner-loop
    • Lint your Docker images to meet containerization best practices (e.G. dockle)
    • Harden your Docker images and check for vulnerabilities (docker scan)
    Conclusion
    

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18. Q&A
    If you have further questions:
    shoot me a mail at
    thorsten.hans@thinktecture.com / thorsten.hans@outlook.com
    or tweet at
    @ThorstenHans
    

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