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.