Migrating Monoliths to AWS Serverless: A Step-by-Step Production Guide
Published by the Chankya IT Cloud Solutions Engineering Team • Updated August 2026
For many organizations, maintaining a legacy monolithic application becomes an operational anchor. Slow deployments, high idle infrastructure costs, and single points of failure inhibit business growth. In this architectural guide, we walk through how Chankya IT migrates mission-critical workloads to AWS Serverless with zero downtime.
1. The Strangler Fig Pattern
Rather than attempting a risky "big-bang" rewrite, we apply the Strangler Fig Pattern. Amazon CloudFront and API Gateway act as an edge routing facade, selectively routing specific traffic paths (e.g. /api/orders or /api/checkout) to new AWS Lambda functions while proxying legacy routes back to the existing server cluster.
2. Decoupling the Database with DynamoDB
Relational database locks often bottleneck scaling. By migrating bounded domains to Amazon DynamoDB (Pay-Per-Request), systems gain single-digit millisecond latency regardless of scale, accompanied by automatic multi-AZ data replication.
3. Codifying Everything with Terraform
Infrastructure drift is eliminated by codifying Lambda execution roles, S3 buckets, IAM policies, and CloudWatch alarms into modular Terraform configurations. This allows instant reproduction of staging and production environments.
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