Tier-1 Global Bank Automates Enterprise-Scale gRPC Services Automation
At a glance —
the essentials.
Tier-1 Global Bank (Canada)
- The client operated a complex gRPC-based distributed architecture spanning 20+ services. Manual test case creation and validation for unary gRPC services resulted in long execution cycles, high debugging effort, and limited scalability for end-to-end service orchestration. With 200+ hours consumed per regression cycle, the testing process had become a critical bottleneck.
Kumaran built a custom gRPC automation framework in Core Java, implementing a keyword-driven and data-driven approach for maximum flexibility and reuse. Test case generation was automated using protobuf definitions, eliminating manual effort at the source. Parallel execution, orchestration, and CI/CD integration were enabled to accelerate delivery, while integrated reporting, logging, and error-handling capabilities ensured full traceability and ease of debugging.
- 2,000+ test cases automated across 20+ gRPC services
- Execution time reduced from 200+ hours to under 2 hours
- Improved scalability for end-to-end service orchestration
- Enhanced reliability and ease of use for functional testers
- Full CI/CD integration enabling continuous test execution
From 200+ hours of manual execution to under 2 hours automated.
An enterprise client partnered with Kumaran to transform testing for their gRPC-based distributed architecture, automating 2,000+ test cases across 20+ services and slashing execution time from over 200 hours to under 2 hours. The engagement delivered a custom Core Java framework with keyword-driven and data-driven capabilities, CI/CD integration, and full parallel execution. For this client, the goal was not just speed — it was the reliability and scalability needed to support a growing portfolio of distributed services without adding headcount or introducing regression risk.
The Background
The client's engineering teams had been manually creating and validating test cases for each gRPC service, a process that could not scale with the growing architecture. Each regression cycle consumed 200+ hours and required deep technical expertise to debug failures. With limited tooling support for gRPC and no automation framework in place, the team needed a purpose-built solution that could handle protobuf-defined services, orchestrate execution at scale, and plug seamlessly into existing CI/CD pipelines.
Want to know how we achieved these results?
Contact us today to learn more about our approach and the success story behind this gRPC automation engagement with the Tier-1 Global Bank (Canada).
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