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.

intermediate30 min3 steps

The play

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.
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.
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.

Starter code

kubectl apply -f sagai-mid-deployment.yaml
kubectl expose deployment sagai-mid --type=LoadBalancer --port=80