AI Agents for Multiprovider Cloud Edge Continuum
summary
A deployed microservice orchestration that accepts natural‑language service requests, looks up apps in a vectorized repository, builds deployment intents and decides placements using an AI pipeline. Claims include operations 88% faster and 97% fewer manual inputs. Components: LANE (LLM-based language-to-action with RAG, classification and translators) and Raptor (LSTM-based placement with PUE and CO2 forecasting). Lifecycle manager deploys to federated central/local orchestrators and continuously monitors and migrates apps when performance or forecasts require it.
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chapters (8)
- 0:00AI agents in cloud edge continuum
- 1:03Reply’s role in IPCI
- 3:14Multi-domain orchestrator use cases
- 6:29Business benefits of AI-driven orchestration
- 8:40Architecture overview with AI agents
- 10:46AI agent families: Lane and Raptor
- 13:39End-to-end workflow
- 21:01Key outcomes and future usability
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