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AWS S3 was used in order to simplify the architecture, as echidna's corpus and output needed a file storage database. However, jobs' state management is very cumbersome in S3, which is why moving to Postgres would greatly improve the maintainability of the project.
The text was updated successfully, but these errors were encountered:
AWS S3 was used in order to simplify the architecture, as echidna's corpus and output needed a file storage database. However, jobs' state management is very cumbersome in S3, which is why moving to Postgres would greatly improve the maintainability of the project.
The text was updated successfully, but these errors were encountered: