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Case Study

Enterprise API Platform, Monolith-to-Microservices Migration

A legacy monolith serving millions of daily requests, migrated to Kubernetes-orchestrated microservices on AWS without disrupting live enterprise traffic.

Tags
DevOps & MLOpsCloud ServicesKubernetes & AWS
25%Less Downtime
40%Faster API Responses

Challenge

Legacy monoliths hit a wall as traffic grows: a single deployable application becomes a single point of failure, and every release risks taking the whole platform down. The challenge was migrating a production system already serving enterprise clients to a microservices architecture without disrupting the millions of requests it was already handling daily.

Solution

We broke apart the legacy Django/Flask monolith into independently deployable services running on Docker and Kubernetes, removing the single-point-of-failure risk of the old architecture. We re-architected the RESTful API layer for enterprise-scale traffic through service isolation, query optimization, and caching, and layered Jenkins and GitHub Actions CI/CD on top of the new Kubernetes setup.

Results

The migration cut API response times by 40% and downtime by 25%, moving the team from bi-weekly manual releases to daily automated ones while still scaling to serve millions of daily requests.