About This Architecture

End-to-end AWS CI/CD pipeline orchestrating Bitbucket source control through Jenkins, Docker containerization, and multi-environment ECS Fargate deployments with approval gates. Data flows from pull requests through build and test stages into ECR, then to dev, staging, and production ECS clusters behind ALB and WAF. The architecture integrates a multi-agent layer using Bedrock (Nova Premier and Claude Sonnet) for audience and strategy decisions, with Lambda functions, Step Functions orchestration, and backend services including Celery workers, DynamoDB, Aurora, and Redshift. This design demonstrates enterprise-grade CI/CD governance, containerized microservices, and AI-driven decision-making in a secure VPC with IAM, Secrets Manager, KMS, and CloudTrail compliance controls. Fork and customize this diagram on Diagrams.so to adapt the pipeline stages, agent models, or database choices for your organization's workflow.

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How do I design an AWS CI/CD pipeline that integrates AI agents with multi-environment deployments and approval gates?

This diagram shows a complete Jenkins-driven CI/CD workflow that builds Docker containers, stores them in ECR, and deploys to ECS Fargate across dev, staging, and prod with approval gates. It adds a Bedrock-powered agents layer (Nova Premier and Claude Sonnet) for intelligent decision-making, backed by Lambda orchestration, Step Functions, and data services like Redshift and Aurora.