CAnDL Platform
·2 mins
Table of Contents
Project Overview #
Developed a container-based platform for deploying analytics and AI applications for internal teams, focusing on security compliance and developer productivity.
Technical Architecture #
Infrastructure Foundation
- AWS ECS Fargate for containerized application runtime
- Terraform modules for reproducible infrastructure deployment
- Multi-environment support (development, testing, production)
- Integration with organizational identity management systems
Security Implementation
- Migration from standard Debian images to Chainguard minimal containers
- Achieved zero-CVE baseline across all production containers
- Implemented security scanning integration within CI/CD pipelines
- Network isolation through VPC endpoint configurations
New AI/ML Integration
- Amazon Bedrock integration with custom guardrails
- RAG architecture using OpenSearch vector storage
- Support for multiple foundation models with dynamic selection
- Token usage monitoring and cost optimization
Development Methodology #
Infrastructure as Code
# Example Terraform module structure
module "multi_user_app" {
source = "./modules/ecs-app"
app_name = var.app_name
user_config = local.user_configurations
container_image = "${var.ecr_repository}:${var.image_version}"
# Security configurations
vpc_config = var.vpc_settings
security_groups = var.security_group_ids
# Monitoring integration
cloudwatch_config = var.monitoring_settings
}
CI/CD Automation
- Automated version tagging using conventional commit standards
- Container image building and registry publishing
- Terraform validation and security scanning
- Integration testing with containerized dependencies
Collaborative Aspects #
This project involved close coordination with:
- Data science teams for application requirements
- Security architects for compliance validation
- Infrastructure specialists for networking design
- Project delivery teams for deployment scheduling
Technical Outcomes #
- Deployment frequency improved from monthly to weekly cycles
- Container security vulnerabilities reduced to zero
- Developer onboarding time decreased through standardized tooling
- Infrastructure consistency achieved across multiple environments
Learning Points #
Working within government compliance requirements provided valuable insights into balancing security constraints with developer productivity. The experience highlighted the importance of early security integration rather than retrofitting compliance measures.
Technology Stack: AWS ECS, Terraform, Docker, Python, GitLab CI/CD