Autonomous Multi-Cloud Serverless Deployment and Optimized Management
summary
Autonomous multi‑cloud deployment platform melodic models apps with a CAMEL modeling language, calculates utility functions, fetches live offers and automatically deploys VMs/containers/serverless and Spark clusters, then monitors metrics in Grafana and triggers reconfiguration (demo shows a genome Spark job where melodic spins up additional workers and the reconfigure finishes within ~5–10 minutes). Claim: continuous cost/performance optimization; concrete result quoted: 175,000 USD saved over three years for one AI investments case study.
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chapters (27)
- 0:00Introduction
- 0:55Welcome
- 2:56Advantages
- 4:15Cloud agnostic modeling
- 5:42Best deployment
- 8:14How it works
- 9:42Microservice Architecture
- 10:13Morphemic
- 12:13AI Investments
- 13:15How it is done
- 14:40Benefits
- 15:19Cost Savings
- 15:46Genome Application
- 17:20Demo
- 19:40Upload model
- 21:26Choose cloud provider
- 22:28Deployment process
- 24:42Available offers
- 25:30Constraint problem
- 26:02Component detail
- 27:17Metrics
- 27:58Rezoning
- 29:18Advanced view
- 31:01Application bookmark
- 32:00Monitoring
- 32:38Graphana
- 39:26Reconfiguration process
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