Legacy Code Migration and Platform Enhancement for End-to-End Testing Infrastructure

The client’s legacy system relies on outdated Java code, leading to increased errors and maintenance difficulties, particularly affecting their end-to-end testing products for Kafka-based applications. This hampers platform reliability and scalability, limiting feature expansion and user experience enhancement.

A mid-sized enterprise specializing in cloud-based developer tools and platforms, seeking to modernize existing systems and expand testing capabilities.

• Migrate a majority of existing endpoints from legacy codebase to a modern, scalable infrastructure.
• Develop infrastructure to enable selective use of migrated and legacy components for incremental deployment.
• Implement enhanced testing blocks to increase test case coverage and pipeline flexibility.
• Create new features, such as private environment testing pipelines and comprehensive activity logging, to improve usability and analytics.
• Streamline bug tracking, performance monitoring, and deployment processes to ensure smooth platform updates.
• Achieve seamless application functionality launch post-migration with minimal disruption.

• Incremental API endpoint migration with tracking and rollback capabilities.
• Selective use of migrated and legacy code on the same platform to monitor performance differences.
• Real-time, bidirectional communication protocol, such as long-lived gRPC connections.
• Support for various testing blocks including produce, consume, HTTP calls, and extended pipeline functions.
• Integration of a robust encoding/decoding mechanism for data interchange with diverse data stores.
• User management and activity audit logging features for compliance and analytics.
• Multi-environment support allowing testing pipelines to run in private or client-specific environments.

• Source code repositories and development environments for seamless migration.
• External logging and monitoring tools for activity and performance tracking.
• Client-specific environment configurations for private pipeline testing.
• Data stores for audit logs and user activity analytics.

• The system should support incremental endpoint migration with minimal downtime, targeting a 95% success rate of migration visibility within one week.
• Ensure high system availability with 99.9% uptime during regular operational hours.
• Maintain data security and access controls, complying with industry standards.
• Support scalable execution of testing pipelines with throughput capacity of at least 100 parallel tests.
• Ensure data processing latency is under 500 milliseconds for real-time features.

The project aims to significantly improve system reliability by reducing endpoint errors, enabling rapid feature development, and providing enhanced testing capabilities. Success will be measured by the migration of at least 65% of endpoints within six months, a decrease in maintenance-related errors by 30%, and improved testing pipeline flexibility, leading to faster release cycles and elevated user satisfaction.