AWS Monolithic App Architecture

Services provided on this Project

Cloud Consulting & SI
DevOps Managed Services
Web Development
AWS Architecture Diagram

Problem Statement

The challenge was to design and implement a scalable, secure AWS-based architecture for a monolithic application. It needed to support high availability, automated scaling, robust security, and seamless integration with CI/CD processes. The solution had to ensure user authentication, data storage, and backup, while maintaining performance and minimizing downtime.

CLIENT

Clyk Studio

PROJECT SCHEDULE

Feb 2025 — Mar 2025

PROJECT SIZE

$50,000 to $199,999

Proposed Solution

Route 53

for DNS routing

VPC

for network isolation

Elastic Beanstalk

for deployment

RDS

for data storage

Cognito, WAF, and KMS

for security

CloudWatch

for performance monitoring

GitHub, CodePipeline, CodeDeploy

for CI/CD

AWS Backup and EBS snapshots

for backups

Optional: CloudFront and GuardDuty

for enhanced performance and security

Solution Illustration

This setup ensures scalability, high availability, and effective resource management.

Core tech stack we work with

Leveraging the Leading Programming Languages and Frameworks to Deliver Reliable, Scalable Solutions.

Docker
GitLab
AWS
Google Cloud

Outcomes & Success Metrics

Significant reduction in scam calls, improved uptime, enhanced scalability, and efficient AI integration.

Scalability

Scalability achieved with Auto Scaling Groups and Elastic Beanstalk

Availability

High availability through Application Load Balancer and Route 53

Security

Strong security with Cognito, WAF, and KMS

Errors

CI/CD pipelines reduce errors

Performance

Performance monitoring via CloudWatch, alerts via SNS/Slack

Cost Optimization

Cost optimization with S3 storage and Auto Scaling

Data Protection

Data protection ensured through AWS Backup and EBS snapshots

Lessons Learned
Key lessons included the importance of planning and testing before migration to minimize downtime, ensuring system reliability through monitoring and security measures, and leveraging AWS automation features like auto-scaling. Continuous collaboration with stakeholders helped ensure smooth integration and adjustments throughout the project.