Context & Pain Points
Monolithic backend structures caused severe deployment bottlenecks, configuration drift, and poor auto-scaling responses under rapid user growth.
What We Had To Solve
- Decoupling the monolithic database model into microservice schemas without complex sync locking.
- Standardizing container deployments and config files across independent developer teams.
- Orchestrating high-speed cached state lookups across multiple container layers.
How We Built It
- Engineered CI/CD automation pipelines using GitHub Actions to build, lint, and deploy Fargate containers.
- Developed highly modular Terraform scripts to provision matching Dev, Staging, and Production ECS environments.
- Configured Redis cache clusters as a fast central lookup cache for container state management.
Outcomes That Mattered
70% Faster Releases
Accelerated application release cycles from weeks to minutes using automated testing and deployments.
Independent Microservice Scaling
Fargate tasks scale independently based on real-time network request volumes.
Eliminated Config Drift
Achieved 100% consistency across all staging tiers through infrastructure-as-code modules.
Outcome
Decoupled core platform engines into containerized Node.js and Magento microservices running on ECS Fargate, managed cleanly via Terraform pipelines.
