Production Systems & Cloud Architecture
Containerized AI Deployment at Enterprise Scale
Executive Summary: RUNE deploys AI systems via serverless containers with integrated CI/CD pipelines that enforce quality gates before production traffic. This architecture guarantees zero-downtime deployments of new model versions while maintaining audit trails for regulatory compliance.
Technical Implementation
Containerized Microservices Architecture
Lightweight service definitions that scale elastically with demand, reducing infrastructure costs while improving reliability.
- Serverless Containers: Sub-second cold start times with automatic horizontal scaling up to 1000 concurrent requests
- Service Mesh Observability: Real-time tracing and metrics exported to Cloud Monitoring for SLA compliance
- API Rate Limiting: Per-tenant quotas preventing runaway costs from compromised API keys
- Custom Domain Routing: Private endpoints with mTLS for B2B client connections
CI/CD Quality Gates
Automated testing and validation ensuring only vetted code reaches production endpoints.
- Unit + Integration Testing: Required 85%+ coverage; failures block production pushes
- Model Drift Detection: Automated benchmarking against baseline performance metrics
- Security Scanning: Dependency vulnerability checks and container image scanning
- Gradual Rollout: Canary deployments with automated rollback if error rates exceed thresholds
Observability & Cost Management
Real-time cost tracking and performance monitoring across all cloud resources.
- Billing Alerts: Automated notifications when LLM API spend exceeds daily budgets
- Performance Tracing: End-to-end request latency decomposition to identify bottlenecks
- Model-Specific Metrics: Per-endpoint cost analysis enabling ROI calculations
- Audit Logging: Comprehensive logs of all API calls, user actions, and model inference results
Serverless architecture enforces industry-standard container security while abstracting away infrastructure management—ideal for enterprises requiring SOC 2 compliance without ops overhead. BigQuery handles archival and compliance-friendly data retention policies across all production pipelines.
See It Live
BURNRATE Tracker
Monitor LLM spend across OpenAI, Anthropic, and Vertex AI in real-time. Track cost per model.
OPEN TRACKER →Enterprise Command
Role-based access control with The Oracle AI assistant. See production-ready permission systems.
VIEW DEMO →Vertex AI Docs
Technical documentation for AI/ML deployment, model serving, and pipeline orchestration.
READ DOCS →GCP Console
Google Cloud Platform console for monitoring, deployment, and infrastructure management.
OPEN GCP →