AWS Blueprint — LABP-Stack
Production-ready cloud architecture for VoIP, AI and Automation platforms.
Designed for scalability, security and operational resilience.
This blueprint represents the reference infrastructure used across LABP-Stack
deployments and consulting projects.
Status: MVP + Production Ready
Scope: Contact Centers, Voice Platforms, AI Gateways
Cloud: AWS-Oriented Architecture
Core Components
- Amazon VPC with segmented subnets (Public / Private)
- EC2 instances (Asterisk, Media Gateways, AI Services)
- Application / Network Load Balancer
- RDS / DynamoDB for metadata and control data
- S3 for call recordings and artifacts
- CloudWatch for metrics, logs and alerts
High-Level Architecture
Users (Voice / Web / API)
↓
AWS Load Balancer (ALB / NLB)
↓
API Layer (Railway / AWS / Containers)
↓
VoIP Core (Asterisk / SBC / AI)
↓
Automation & Storage (n8n / S3 / DB)
This layered design enables independent scaling of voice, AI and automation
components while maintaining operational stability.
MVP Deployment Model
- Single VPC
- 2–3 EC2 instances
- Basic ALB / NLB
- S3 lifecycle policies
- CloudWatch basic monitoring
Target: Proof of concept, pilot projects, controlled production.
Production Deployment Model
- Multi-AZ architecture
- Auto Scaling Groups
- Redundant SIP trunks
- Multi-region backup
- Disaster Recovery Plan (DRP)
- Centralized logging
Target: High-volume contact centers, carrier-grade platforms,
mission-critical systems.
Security Architecture
- TLS / SRTP encryption
- IAM Roles with least privilege
- Network isolation via Security Groups
- WAF for API protection
- Geo-blocking and fraud detection
- Encrypted storage (S3 / RDS)
Operations & Observability
- Structured application logging
- CloudWatch dashboards
- Automated alerting
- Backup automation
- Capacity monitoring
Designed for 24x7 operations and proactive incident management.
Integration with LABP-Stack
- Intent Detection API
- AI Voice Gateway
- RAG Knowledge Assistant
- n8n automation pipelines
- Carrier interconnection
Typical Use Cases
- AI-driven IVR platforms
- Cloud migration of legacy PBX
- Hybrid contact centers
- Voice analytics systems
- Automated outbound campaigns
Author
Luis Alfredo Báez Páez
VoIP Architect · Cloud Engineer · Automation & AI Integration
GitHub: github.com/Fredobapa