About the Client
Canopi is a B2B multi-tenant AI-powered workflow automation SaaS platform designed for Indian automobile dealerships. The platform unifies CRM, WhatsApp, telephony, AI agents, analytics, and workflow automation through webhook-driven orchestration, enabling dealerships to automate customer engagement, lead management, and business operations. As the platform expanded across multiple customers, it required a cloud infrastructure that could support rapid deployments, tenant growth, high availability, and production-grade reliability while minimizing operational overhead.
Challenges
Before the infrastructure modernization, deploying and managing the platform involved several operational challenges:
- Manual Infrastructure Provisioning: Cloud resources were provisioned manually, making deployments slow, inconsistent, and difficult to reproduce across development, staging, and production environments.
- Scalability Constraints: The platform needed to support increasing workloads generated by CRM events, AI workflows, webhook traffic, and n8n automation without manual intervention.
- High Availability Requirements: The production environment required fault tolerance across multiple Availability Zones to ensure uninterrupted services for dealership operations.
- Secure Infrastructure Management: Managing secrets, networking, IAM permissions, SSL certificates, and private resources manually increased operational complexity and security risks.
- Operational Consistency: Infrastructure changes were difficult to track, review, and reproduce, leading to configuration drift between environments.
Tech Stack Overview
- Cloud Platform: AWS
- Infrastructure as Code: Terraform
- Container Platform: Amazon ECS (EC2 Capacity Provider)
- Container Registry: Amazon ECR
- Networking: Amazon VPC, Public & Private Subnets, NAT Gateway, Internet Gateway
- Load Balancer: Application Load Balancer (ALB)
- Database: Amazon RDS PostgreSQL
- Cache: Amazon ElastiCache Redis
- Storage: Amazon EFS, Amazon S3
- CDN & DNS: Amazon CloudFront, Route 53
- Security: AWS WAF, ACM, IAM, Security Groups, Secrets Manager
- Workflow Automation: n8n deployed on ECS
- Monitoring: CloudWatch
Solutions
The engineering team designed and implemented a fully automated, production-ready AWS infrastructure using Terraform:
- Fully Automated Infrastructure Provisioning: Developed reusable Terraform modules that provision the complete AWS infrastructure using a single deployment command, eliminating manual resource creation and ensuring consistent environments.
- Highly Available Architecture: Designed a multi-AZ architecture with public and private subnets, Application Load Balancer, NAT Gateway, and ECS services distributed across Availability Zones to maximize application availability.
- Scalable Container Platform: Deployed backend services, frontend applications, and n8n workflow automation on Amazon ECS with Capacity Providers and Auto Scaling to dynamically handle workload fluctuations.
- Modular Infrastructure Design: Built reusable Terraform modules for networking, compute, databases, storage, caching, DNS, security, and monitoring, enabling faster deployments and simplified maintenance.
- Secure Cloud Architecture: Implemented private networking for databases and caches, IAM least-privilege access, AWS Secrets Manager for sensitive credentials, ACM-managed SSL certificates, and AWS WAF for application protection.
- Persistent Storage & Data Services: Integrated Amazon RDS PostgreSQL, ElastiCache Redis, and Amazon EFS to provide highly available databases, caching, and persistent storage for workflow automation services.
- Global Content Delivery: Configured CloudFront and Route 53 to deliver frontend assets securely with low latency while managing DNS and SSL certificates.
- Infrastructure Standardization: Established Infrastructure as Code practices with version-controlled Terraform modules, enabling repeatable deployments across development, staging, and production environments.
Results
| Metric Component | Before Solution (Legacy Design) | After Solution (Terraform Automation & Architecture) | Operational Impact |
|---|---|---|---|
| Infrastructure Provisioning | Manual AWS resource creation. | One-command Terraform deployment. | Consistent, repeatable infrastructure provisioning. |
| Application Deployment | Manual service deployment. | Automated ECS deployment. | Faster and reliable application releases. |
| High Availability | Single-point infrastructure risks. | Multi-AZ architecture with ALB and ECS. | Improved application uptime and resilience. |
| Scalability | Manual capacity planning. | ECS Auto Scaling with Capacity Providers. | Automatic workload scaling. |
| Infrastructure Consistency | Environment drift. | Modular Infrastructure as Code. | Standardized environments across all stages. |
| Security Management | Manual secret and network configuration. | IAM, Secrets Manager, WAF, ACM, Private Subnets. | Enhanced cloud security. |
| Workflow Automation | Independent deployment process. | Integrated n8n deployment on ECS. | Simplified workflow automation management. |
Core Features Delivered
A. Infrastructure as Code (Terraform)
- Modular Terraform architecture
- Remote state management
- Single-command infrastructure deployment
- Reusable infrastructure modules
B. High Availability Cloud Architecture
- Multi-AZ VPC design
- Public and private subnet architecture
- Application Load Balancer
- NAT Gateway for private workloads
- Highly available ECS services
C. Containerized Application Platform
- Amazon ECS cluster deployment
- n8n workflow automation deployment
- Auto Scaling
- Capacity Provider integration
- Zero-downtime deployments
D. Managed AWS Services
- Amazon RDS PostgreSQL
- Amazon ElastiCache Redis
- Amazon EFS
- Amazon S3
- Amazon ECR
E. Security & Networking
- IAM Roles and Policies
- AWS Secrets Manager
- ACM SSL Certificates
- AWS WAF
- Security Groups
- Private networking architecture
F. Networking & Delivery
- Amazon Route 53
- Amazon CloudFront
- Secure DNS management
Conclusion
By implementing a fully automated AWS infrastructure using Terraform, Canopi achieved a secure, scalable, and highly available platform. The one-command deployment approach simplified infrastructure provisioning and application deployment, enabling faster releases, improved operational efficiency, and a reliable cloud foundation for its multi-tenant AI-powered SaaS platform.
