A multi-cluster batch queuing system for high-throughput workloads on Kubernetes.
Role in this project:
Back-end Developer Contributions:265 reviews, 41 commits, 179 PRs in 6 months
Contributions summary:Adam made significant contributions to the Armada Python client, primarily focusing on improving the client's functionality and maintainability. Key changes included refactoring and moving client methods, adding new wrappers and methods to the client, and creating utilities to handle events and their associated states. These improvements enhance the client's usability and provide more streamlined access to event data. The user also worked on auto-generating server event types and added related unit tests.
kubernetesmulti-clustergr-oss
A multi-cluster batch queuing system for high-throughput workloads on Kubernetes.
Contributions:33 PRs, 124 pushes, 37 branches in 4 months