
Mita Cokic developed a comprehensive Storage Stress Testing Suite for the Ethernal-Tech/blade repository, focusing on evaluating the performance and robustness of LevelDB and PebbleDB under high-load conditions with concurrent reads. Using Go, Mita designed automated tests that simulate real-world I/O patterns, enabling early detection of bottlenecks and edge cases in the storage subsystem. The work emphasized backend development and database management, expanding test coverage across multiple storage blocks. By aligning baseline validation and integrating git-based change tracking, Mita’s contribution improved performance visibility and reliability, supporting proactive capacity planning and ensuring the storage layer meets demanding operational requirements.

Monthly work summary for 2025-05 focusing on Ethernal-Tech/blade. Delivered a Storage Stress Testing Suite for LevelDB and PebbleDB to evaluate performance and robustness under high-load and concurrent reads. No major bugs fixed this month. Overall impact: improved reliability, performance visibility, and test coverage for the storage subsystem; supports proactive bottleneck detection and capacity planning. Technologies/skills demonstrated: storage engines (LevelDB, PebbleDB), stress testing, concurrent I/O patterns, test automation, and git-based change tracking.
Monthly work summary for 2025-05 focusing on Ethernal-Tech/blade. Delivered a Storage Stress Testing Suite for LevelDB and PebbleDB to evaluate performance and robustness under high-load and concurrent reads. No major bugs fixed this month. Overall impact: improved reliability, performance visibility, and test coverage for the storage subsystem; supports proactive bottleneck detection and capacity planning. Technologies/skills demonstrated: storage engines (LevelDB, PebbleDB), stress testing, concurrent I/O patterns, test automation, and git-based change tracking.
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