# Containerized Web Application Deployment on AWS or Azure Cloud

<table class="MsoNormalTable" id="bkmrk-field-details-docume" title=""><tbody><tr><td>**Field**</td><td>**Details**

</td></tr><tr><td>Document Type

</td><td>Containerized Web Application Deployment on AWS or Azure Cloud

</td></tr><tr><td>Applies To

</td><td>AWS Cloud

</td></tr><tr><td>Audience

</td><td>Cloud Architect / Cloud Engineer / DevOps Engineer

</td></tr><tr><td>Author

</td><td>AK. Udofeh

</td></tr><tr><td>Last Updated

</td><td>May 2026

</td></tr></tbody></table>

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##### **Overview**

[![image.png](https://docs.aktechnoservices.com/uploads/images/gallery/2026-05/scaled-1680-/image.png)](https://docs.aktechnoservices.com/uploads/images/gallery/2026-05/image.png)

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 &amp; 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 &amp; 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.