~/talk

Proactive and Polymorphic Adaptation of Multi-Cloud Deployments

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An open-source framework called Melodic models applications in a camel modeling language, computes a flexible utility function, and uses a solver to pick and deploy to providers like OpenStack and AWS. It collects runtime metrics, adds predictive autoscaling and polymorphic deployment options (VMs, containers, serverless), and demoed a two-component app and genome app with Grafana monitoring and auto-installed clients. A production AI-investments user trains 50 models in one hour (vs three) and reports about 60% cost savings.

AI-written summary · about

  1. 0:00Intro
  2. 1:58Best Deployment
  3. 2:56How it works
  4. 4:16Polymorphic Architecture
  5. 6:02Predict the resources
  6. 7:08Training the models
  7. 7:39Mission accomplished
  8. 8:10Cost savings
  9. 8:37AI Investments
  10. 9:17Deployment
  11. 20:37Conclusion
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