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Java & Spring Boot
2023
Order Orchestration Platform - Microservices Redesign
Led the architectural redesign of a complex order orchestration platform serving millions of transactions. Implemented Spring Boot microservices with Spring Cloud for service discovery, circuit breakers, and distributed tracing. Migrated from monolithic architecture to cloud-native microservices on AWS.
JavaSpring BootSpring CloudKubernetesAWSPostgreSQLRedisDockerKafka
Key Achievements
- 30% reduction in system latency
- 40% decrease in technical debt
- Zero-downtime deployments achieved
- Team of 12+ engineers successfully led
- Improved system reliability from 99.5% to 99.9%
Challenges
- !High latency in order processing (average 500ms+ response time)
- !Monolithic architecture causing deployment bottlenecks
- !Difficulty scaling individual components independently
- !Complex business logic tightly coupled across services
- !Need for zero-downtime deployments
- !Legacy system integration while maintaining backward compatibility
Solutions
- Designed and implemented microservices architecture using Spring Boot and Spring Cloud
- Implemented API Gateway pattern with load balancing and circuit breakers
- Deployed on AWS EKS (Kubernetes) with auto-scaling capabilities
- Introduced event-driven architecture using Apache Kafka for async communication
- Implemented Redis caching layer reducing database calls by 40%
- Achieved 30% latency reduction with average response time under 350ms
- Set up comprehensive monitoring with Dynatrace and New Relic
Technologies & Tools
Java
Spring Boot
Spring Cloud
Kubernetes
AWS
PostgreSQL
Redis
Docker
Kafka