CI/CD and Monitoring Architecture: AWS architecture diagram

About This Architecture

Automated CI/CD pipeline using AWS CodePipeline, CodeBuild, and Amazon ECS Fargate orchestrates the deployment of a todo-app backend service from GitHub commits. Unit tests and Docker image builds execute in CodeBuild; failed tests halt the pipeline, while successful builds push images to Amazon ECR and trigger ECS deployments. Application Load Balancer routes traffic to frontend and backend Fargate services running in private subnets, while CloudWatch monitors both services and triggers SNS email alerts on threshold breaches. This architecture enforces deployment gates, automates container testing and registry management, and provides real-time observability—essential for teams shipping microservices reliably at scale.

People also ask

How do I set up an automated CI/CD pipeline on AWS that runs unit tests, builds Docker images, pushes them to ECR, deploys to ECS Fargate, and monitors deployments with CloudWatch?

This diagram shows a complete AWS CI/CD flow where GitHub commits trigger CodePipeline, CodeBuild runs npm tests and Docker builds, failed tests block deployment, successful images push to Amazon ECR, and ECS Fargate services are updated. Application Load Balancer distributes traffic across frontend and backend services, while CloudWatch dashboards and alarms monitor performance and trigger SNS em

CI/CD and Monitoring Architecture

AWSintermediateCI/CDCodePipelineECS FargateDevOpsMicroservices
Domain: Devops CicdAudience: DevOps engineers and AWS solutions architects implementing CI/CD pipelines for containerized applications
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Created by

October 7, 2026

Updated

October 21, 2026 at 12:07 AM

Type

data pipeline

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