Containerized Web Application Deployment on AWS or Azure Cloud

Field 
 
 Details 
 
 
 
 
 Document Type 
 
 
 Containerized Web Application Deployment on AWS or Azure Cloud 
 
 
 
 
 Applies To 
 
 
 AWS Cloud 
 
 
 
 
 Audience 
 
 
 Cloud Architect / Cloud Engineer / DevOps Engineer 
 
 
 
 
 Author 
 
 
 AK. Udofeh 
 
 
 
 
 Last Updated 
 
 
 May 2026 
 
 
 
 
   
 Overview 
 
 This configuration outlines a cloud-native deployment approach for containerized web applications using AWS-managed services. 
 The solution leverages a CI/CD pipeline to build and publish container images, which are then deployed onto a managed runtime platform behind a load balancer. 
 This approach ensures: 
 
 Consistent application deliver 
 Secure and scalable traffic routine 
 Reduced operational overhead through automation 
 
 ️ Prerequisites 
 
 AWS account with appropriate permissions (IAM, ECS, ECR, ALB) 
 Access to source code repository (e.g. GitHub) 
 Containerized application (Docker-ready) 
 Basic networking setup (VPC, subnets, security groups) 
 Domain name (optional for external access) 
 
 Step 1: CI/CD Pipeline Integration 
 Configure a CI/CD pipeline (e.g. GitHub Actions (CI/CD)) to: 
 
 Build the application container image 
 Tag the image appropriately (e.g. latest, version tags) 
 Push the image to a container registry (Docker Hub / AWS ECR) 
 
 This ensures all deployments originate from a controlled and repeatable process. 
 Step 2: Deployment Scope 
 Define the deployment scope: 
 
 Single application service or multi-service architecture 
 Public-facing vs internal-only service 
 Environments (dev, staging, production) 
 
 Scope should be clearly defined to avoid unintended exposure. 
 Step 3: Target Runtime Platform 
 Deploy the container to a managed compute service such as: 
 
 Amazon ECS (Fargate or EC2 launch type) 
 Alternatively equivalent container runtime platforms 
 
 The runtime platform is responsible for: 
 
 Running containers 
 Managing scaling 
 Handling lifecycle events 
 
 Step 4: Core Configuration 
 Configure: 
 
 Task definitions (CPU, memory, container image) 
 Networking (subnets, security groups) 
 Service definitions (desired count, scaling policies) 
 
 Ensure: 
 
 Least privilege networking 
 Proper resource allocation 
 Health checks are defined 
 
 Step 5: Access Control / Traffic Management 
 Implement traffic routing using: 
 
 Application Load Balancer (ALB) 
 
 Configure: 
 
 Listener rules (HTTP/HTTPS) 
 Target groups (container services) 
 TLS termination for secure access 
 
 This layer ensures: 
 
 Secure inbound access 
 Controlled routing to backend services 
 
 Step 6: Controlled Deployment Strategy 
 Adopt a safe rollout approach: 
 
 Deploy new versions alongside existing ones 
 Validate health checks before shifting traffic 
 Use rolling updates or blue/green deployment where possible 
 
 This reduces risk during updates. 
 Step 7: Monitoring & Validation 
 Monitor the deployment using: 
 
 CloudWatch logs and metrics 
 ECS service health status 
 Load balancer target health 
 
 Validate: 
 
 Application responsiveness 
 Error rates 
 Resource utilisation 
 
 Step 8: Go-Live & Stability Monitoring 
 Once validated: 
 
 Route full traffic to the new deployment 
 Monitor system behaviour closely post-deployment 
 
 Focus on: 
 
 Latency 
 Availability 
 Unexpected failures 
 
  Important Considerations 
 
 Misconfigured security groups can expose services publicly 
 Missing health checks may cause unstable deployments 
 Incorrect resource sizing can lead to performance degradation 
 Lack of rollback strategy increases operational risk 
 
 Best Practices 
 
 Use Infrastructure as Code (IaC) for repeatability 
 Store container images in a secure registry (ECR preferred) 
 Enforce HTTPS using ALB with TLS certificates 
 Implement logging and monitoring from day one 
 Separate environments (dev / staging / production) 
 
 Summary 
 This implementation establishes a scalable and secure deployment pipeline for containerized applications using: 
 
 GitHub Actions (CI/CD) for automation 
 Docker Hub / AWS ECR for image storage 
 Amazon ECS as the runtime platform 
 Application Load Balancer for secure traffic routing 
 
 The approach ensures consistency, reliability, and alignment with modern cloud deployment practices.