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.
