The codebase for the narayana project
Role in this project:
Back-end Developer Contributions:285 reviews, 31 commits, 195 PRs in 7 months
Contributions summary:Marco primarily focused on refactoring and improving the Narayana project's code base. Their work involved modifications to SRA (State Replication Architecture) tests, including adjustments to test cases and annotations. The user also contributed to the codebase by changing the semantics of annotation attributes and integrating two-participant testing. Furthermore, they made a key contribution by deprecating the OSGi module.
deep-learningcodebasepythonmachine-learning
Holds all versioned WildFly quickstarts
Role in this project:
Backend Developer Contributions:10 reviews, 2 commits, 5 PRs in 1 month
Contributions summary:Marco primarily focused on enabling and re-enabling various quickstarts related to WildFly, including those utilizing BMT, JTA, JTS, and XTS. Their work involved modifying code, updating dependencies, and updating configurations. They also addressed issues related to the serialization of objects and made changes to ensure the proper functioning of these quickstarts, including adding configuration scripts to enable the XTS subsystem.
quickstartswildflyversioned