Curated storage-testing methodologies, papers, tools, projects, and data resources for correctness, performance, reliability, compatibility, and failure recovery.
English | Chinese
Awesome Storage Testing is a curated knowledge base for storage engineering and testing practice. Every entry should explain the testing problem it addresses, its scope, and why it is worth using or reading rather than merely providing a link.
Visit awesome-storage-testing for the complete Chinese and English documentation trees. Docsify renders Markdown directly, so the site has no build step.
Local preview:
npx serve docs- Storage domains: databases, object storage, file systems, and block storage.
- Content types: foundations and theory, papers and research, tools and frameworks, practice and projects, and datasets and resources.
- Common material: testing methodology, observability, diagnosis, and other cross-domain resources.
All detailed content is maintained in the documentation tree; this README serves only as the project entry point.
Read the contribution guidelines before submitting content. New entries should use primary sources, explain their testing value, state applicable versions, workloads, and known limitations, and keep both documentation languages synchronized when practical.
This catalog is released under CC0 1.0 Universal. Indexed projects, papers, tools, and datasets remain subject to their own licenses and copyright terms.