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
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.
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 EC2 instances to patch, monitor, or scale
Pay only for storage and data transfer
AWS S3's 99.999999999% durability guarantee
Content delivery optimized through CloudFront
Pairing S3 with CloudFront adds:
Content delivered from edge locations worldwide
Reduced latency and faster load times
SSL/TLS termination and DDoS protection
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.
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.
The front end calls API Gateway to handle request control and routing.
Keeps public traffic away from internal services by design.
API Gateway forwards traffic to an Application Load Balancer for controlled distribution.
The ALB becomes the gate into the private stack.
AWS WAF is attached to the ALB to filter malicious requests before they reach compute.
Centralized protection without complicating the app layer.
Application servers run in private subnets and only accept traffic from the ALB.
Compute stays private while the edge stays scalable.
The compiled React.js build outputs static assets:
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.
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.
Developers committed code to the repository.
Beanstalkapp automatically created a ZIP bundle of the new commit.
The ZIP file was uploaded to an S3 bucket designated as the CodePipeline source.
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.
The pipeline consisted of three automated stages.
CodeBuild compiled the React.js application using a buildspec.yml file described below.
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.
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
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.
This setup is ideal for applications where SEO is not a priority and reliability, security, and clarity of design matter most. It provides:
Most importantly, this approach avoids risky, expensive rewrites. It allows modernization to happen incrementally, quietly, and with full respect for existing systems and processes.
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.