Developed a comprehensive Storage Stress Testing Suite for the Ethernal-Tech/blade repository, targeting LevelDB and PebbleDB storage engines. The suite simulated high-load scenarios with concurrent read operations to evaluate the performance and robustness of the storage subsystem. By expanding test coverage across multiple storage blocks, the work enabled early detection of bottlenecks and edge cases, supporting proactive capacity planning and reliability improvements. The implementation leveraged Go for backend development, with a focus on database management, performance optimization, and automated testing. All changes were tracked using git, ensuring clear baseline validation and maintainable test infrastructure for ongoing storage layer enhancements.