Highly Available AWS Architecture for a Monolithic App

Clyk Studio improved availability, scaling, delivery, and recovery without forcing an immediate application rewrite.

AWS Architecture

Application Migration

CI/CD and Operations

Problem Statement

Clyk Studio needed to move a monolithic application to AWS without introducing the risk of a simultaneous rewrite. The target architecture had to preserve the application model while adding Multi-AZ availability, automatic scaling, controlled releases, identity protection, monitoring, and recoverable data.

CLIENT

Clyk Studio

PROJECT SCHEDULE

Feb 2025 to Mar 2025

PROJECT SIZE

$50,000 to $199,999

Proposed Solution

Highly available application tier

An Application Load Balancer distributed traffic to Elastic Beanstalk instances in two Availability Zones, with Auto Scaling adjusting capacity.

Managed Multi-AZ data

Amazon RDS Multi-AZ provided managed database failover, while AWS Backup and EBS snapshots protected recoverable application data.

Layered traffic and identity controls

Route 53, CloudFront, AWS WAF, Amazon Cognito, VPC isolation, and AWS KMS protected requests, identities, networks, and stored data.

Repeatable application delivery

GitHub, CodePipeline, and CodeDeploy moved changes through a consistent release process instead of relying on manual server updates.

Monitoring and alerting

Amazon CloudWatch tracked application and infrastructure health, with Amazon SNS and Slack notifications directing issues to the team.

The migration used managed AWS services around the existing application. This reduced infrastructure risk first and preserved the option to modernize individual components later.

Core tech stack we work with

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

Outcomes & Success Metrics

Measurable improvements in performance, reliability, scalability, and cost.

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

The monolith did not need to be rewritten to gain stronger availability and operations. Careful dependency discovery, migration rehearsal, health checks, backups, and monitoring reduced risk while managed AWS services improved the existing deployment model.

Moving a monolith to AWS?

We will map application dependencies, availability needs, release risk, and recovery requirements before choosing a migration pattern.

Review my monolith migration