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December 22, 2025

Building a REST API Driven React.js Application Using AWS S3, CloudFront, and CodePipeline

How We Modernized a Front End Using a Static React Build, Serverless Infrastructure, and an Automated CI/CD Pipeline

Not every application requires server-side rendering or deep SEO optimization. Many internal tools, dashboards, portals, workflow applications, and authenticated systems do not rely on search engines for discovery. For these use cases, a static React.js application deployed through AWS S3 and accelerated by CloudFront is a powerful, efficient, and cost-effective solution.

However, some scenarios do require server-side rendering to support SEO or pre-rendered HTML. These scenarios typically require server-side rendering or pre-rendered HTML. At WAM DevTech, we continuously evaluate emerging solutions—from infrastructure design to code optimization—always seeking ways to reduce costs and minimize maintenance overhead while delivering performance, scalability, security, and simplicity. This big-picture thinking drives everything we do.

The following walkthrough focuses on a real solution we implemented: a fully static React.js application backed by REST APIs, hosted on AWS S3 and CloudFront, and deployed through a fully automated AWS CodePipeline and CodeBuild process. This design is ideal for operational tools where performance, scalability, security, and simplicity matter more than SEO.

Why We Chose a Static React.js Architecture

When React.js is built as a static single-page application, it produces a clean set of compiled assets that do not require a server to run. Hosting these on AWS S3 provides:

No server maintenance

No EC2 instances to patch, monitor, or scale

Very low cost

Pay only for storage and data transfer

High durability

AWS S3's 99.999999999% durability guarantee

Predictable performance

Content delivery optimized through CloudFront

Pairing S3 with CloudFront adds:

Global reach

Content delivered from edge locations worldwide

Edge caching

Reduced latency and faster load times

Secure delivery

SSL/TLS termination and DDoS protection

Faster loading

Assets served from the nearest edge location

Most importantly, this approach allows organizations to modernize the user interface without rewriting backend systems. It aligns with WAM DevTech's philosophy of modernizing what matters, preserving what works, and avoiding unnecessary rebuilds.

How the API-Driven Architecture Works

All data and business logic are delivered through REST APIs. The React front end never connects directly to databases or internal servers. This separation provides clearer scalability, enhanced security, and future flexibility.

Below is the exact API infrastructure used in this application.

API Gateway as the entry point

The front end calls API Gateway to handle request control and routing.

  • Routing and request shaping
  • Rate limiting
  • Auth and authorization
  • Environment separation

Keeps public traffic away from internal services by design.

ALB routes requests internally

API Gateway forwards traffic to an Application Load Balancer for controlled distribution.

  • Smart routing rules
  • High availability
  • Health checks and failover
  • Horizontal scaling

The ALB becomes the gate into the private stack.

WAF protects at the ALB layer

AWS WAF is attached to the ALB to filter malicious requests before they reach compute.

  • SQL injection protection
  • XSS mitigation
  • Bot and crawler controls
  • IP throttling and blocking

Centralized protection without complicating the app layer.

Private EC2 behind the ALB

Application servers run in private subnets and only accept traffic from the ALB.

  • No public IP addresses
  • Security groups allow ALB only
  • Outbound access via NAT
  • Isolated from the public internet

Compute stays private while the edge stays scalable.

Hosting the Front End on S3 and CloudFront

The compiled React.js build outputs static assets:

  • index.html
  • JavaScript bundles
  • CSS files
  • Images

These are uploaded to an S3 bucket configured for static hosting, with CloudFront placed in front to deliver the content globally with optimal performance and security.

Source Control with Beanstalkapp or GitHub

In this project, Beanstalkapp was used as the Git repository, but the workflow is not limited to that platform. GitHub, GitLab, and Bitbucket can all be integrated similarly.

How the workflow operated
  • 1

    Developers committed code to the repository.

  • 2

    Beanstalkapp automatically created a ZIP bundle of the new commit.

  • 3

    The ZIP file was uploaded to an S3 bucket designated as the CodePipeline source.

  • 4

    CodePipeline detected the update and triggered a build.

If using GitHub, CodePipeline can pull source directly using webhooks or OAuth. The flexibility to use any Git provider supports WAM DevTech's philosophy of meeting organizations where they are without forcing additional tools or overhead.

How AWS CodePipeline Automates the Deployment Process

The pipeline consisted of three automated stages.

  • 01
    Source Stage
    • CodePipeline monitored an S3 bucket for new ZIP files.
    • Once a new file was detected, it extracted the contents.
    • The files were passed to CodeBuild.
  • 02
    Build Stage (CodeBuild)

    CodeBuild compiled the React.js application using a buildspec.yml file described below.

  • 03
    Deploy Stage

    The compiled artifacts were uploaded to the hosting S3 bucket defined by the TARGET_BUCKET environment variable.

This resulted in predictable, repeatable builds and zero downtime deployments.

The buildspec.yml File Used for Compilation

version: 0.2

phases:
    install:
        runtime-versions:
          nodejs: latest
        commands:
          - node -v
          - npm install --legacy-peer-deps
    build:
        commands:
          - echo building....
          - ls -lart
          - npm run build
    post_build:
        commands:
          - ls -lart ./build
          - echo deleting the old build files in s3 ......
          - aws s3 rm s3://${TARGET_BUCKET} --recursive

cache:
  paths:
    - 'node_modules/**/*'

artifacts:
  files:
    - '**/*'
  base-directory: build
How it works
  • Install Phase — Installs Node and project dependencies.
  • Build Phase — Creates a production-ready React.js build.
  • Post Build Phase — Cleans out old frontend assets from the hosting S3 bucket.
  • Artifacts — Specifies that the build output should be passed to the Deploy stage.

Deploying to the TARGET_BUCKET

The deploy stage uploads the compiled assets to the S3 bucket associated with the TARGET_BUCKET environment variable. This allows a single pipeline to deploy to multiple environments (Dev, QA, Stage, Production) without modifying code.

Once deployed, CloudFront serves the new content globally. Optional cache invalidation ensures that updates appear immediately.

Why This Architecture Works for Internal and Operational Applications

This setup is ideal for applications where SEO is not a priority and reliability, security, and clarity of design matter most. It provides:

  • A modern, responsive UI
  • Strong security through layered AWS services
  • Fast deployment cycles
  • Minimal infrastructure to manage
  • Clear separation between UI and backend logic
  • A lightweight modernization path for the future

Most importantly, this approach avoids risky, expensive rewrites. It allows modernization to happen incrementally, quietly, and with full respect for existing systems and processes.

Closing Thoughts

A static React.js front end deployed through AWS S3 and CloudFront, combined with a secure API architecture and automated CI/CD pipeline, is one of the most effective ways to modernize internal applications without disruption. It delivers performance, reliability, security, and a strong foundation for future growth./p>

This walkthrough reflects real implementation decisions made to balance cost, performance, and maintainability—the kind of thinking that drives every solution we build at WAM DevTech.

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