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Modernization of Legacy Developer Platform with Scala Migration and End-to-End Testing Enhancements
  1. case
  2. Modernization of Legacy Developer Platform with Scala Migration and End-to-End Testing Enhancements

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Modernization of Legacy Developer Platform with Scala Migration and End-to-End Testing Enhancements

scalac.io
Information technology
Software development
Data & analytics

Legacy System Limitations and Testing Constraints

Legacy Java codebase causing frequent errors during maintenance, particularly in end-to-end testing components. Limited testing capabilities with predefined building blocks ('ProduceToKafka', 'ConsumeFromKafka', etc.) and inability to run testing pipelines in private environments. High maintenance costs and scalability challenges in existing architecture.

About the Client

Remote all-in-one developer platform company specializing in Apache Kafka tooling, serving global clients

Modernization and Feature Expansion Goals

  • Migrate 38+ endpoints from Java to Scala within 3-month timeframe
  • Implement smart migration proxy with dual-version execution capability
  • Expand testing building block library by 50%
  • Develop private environment execution functionality for testing pipelines
  • Establish audit logging system for system-wide activity tracking

Core System Modernization Requirements

  • Smart migration proxy with A/B testing capabilities
  • Typed JSONB encoding/decoding API using Quill
  • gRPC bidirectional streaming communication
  • Modular customer portal architecture
  • Role-based user management system

Technology Stack Requirements

Scala
Java
PostgreSQL
gRPC
Quill
Kafka

System Integration Needs

  • Apache Kafka ecosystem
  • PostgreSQL database
  • Existing CI/CD pipelines

Operational Requirements

  • High availability architecture
  • Enterprise-grade security protocols
  • Horizontal scalability
  • Real-time monitoring dashboard
  • 99.9% system uptime SLA

Expected Business Outcomes

Successful migration of 65%+ endpoints within timeline, 40% reduction in maintenance-related errors, and 30% faster feature deployment cycles. Enables private environment testing capabilities for enterprise clients while maintaining backward compatibility with legacy systems.

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