SAGAI-MID: Generative AI-Driven Middleware for Dynamic Runtime Interoperability
SAGAI-MID is an AI-driven middleware that resolves schema mismatches in distributed systems. It enables dynamic runtime interoperability between diverse services, eliminating manual adapter coding and fostering system resilience.
3 Steps
- 1
Identify Integration Hotspots: Analyze your distributed system to pinpoint areas of schema mismatch, API versioning conflicts, or protocol differences causing integration issues. Inventory services, data models, and integration pain points.
- 2
Deploy SAGAI-MID as an Intermediary: Deploy SAGAI-MID within your infrastructure, ensuring it has network access to all services requiring mediation. Use Docker or Kubernetes for scalable deployment and configure basic network settings, logging, and monitoring.
- 3
Register Heterogeneous Services: Inform SAGAI-MID about the services it needs to mediate by providing endpoint URLs, authentication details, and initial schema definitions (if available). This allows SAGAI-MID to build an understanding of your integration landscape.
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