AI/Run CodeMie Deployment Architecture
The diagram below depicts the AI/Run CodeMie infrastructure deployment in the Azure public cloud environment.
EntraID Integration Options
- Option 1
- Option 2
- Option 3
Container Resources Requirements
| Component | Pods | RAM | vCPU | Storage |
|---|---|---|---|---|
| CodeMie API | 2 | 8Gi | 4.0 | – |
| CodeMie UI | 1 | 128Mi | 0.1 | – |
| Elasticsearch | 2 | 16Gi | 4.0 | 100-200 Gb per pod |
| Kibana | 1 | 1Gi | 1.0 | – |
| Mermaid-server | 1 | 512Mi | 1.0 | – |
| PostgreSQL | Managed service in cloud | 30-50 Gb | ||
| Keycloak + DB | 1 + 1 | 4Gi | 2.0 | 1 Gb |
| Oauth2-proxy | 1 | 128Mi | 0.1 | – |
| NATS + Auth Callout | 1 + 1 | 512Mi | 1.0 | – |
| MCP Connect | 1 | 1Gi | 0.5 | – |
| Fluent Bit | daemonset | 128Mi | 0.1 | – |
| LLM Proxy* | 1 | 1Gi | 1.0 | – |
*Depends on the exact LLM proxy type