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ROADMAP.md

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Arena 2019 Roadmap

This document defines a high level roadmap for Arena development.

2019

Core CUJs

Objectives: "Make Arena easily to be integrated with External System."

  • Integration
    • Provide the Java, Python and C++ API for system interaction
    • Integrate with Pipelines to support Standalone Job, MPI Job, Estimator Job

Objectives: "Simplify the user experience of the data scientists and provide a low barrier to handle different kind of training jobs and serve different models."

  • High Level Interfaces:
    • Submit and manage other data processing and machine learning jobs, like Spark, Flink, XDL, PyTorch, MXNet
    • Submit and manage Model Serving with KF Serving

Objectives: "Make Arena support the same Operator compatiable with different API version, so the upgrade of operator doesn't impact the existing users' experiences."

  • Compatibility:
    • v1aphla2 and v1 TFJob
    • v1alpha1 and v1aphla2 MPIJob

Objectives: "Enchance the software quality of Arena so it can be in the quick iteration"

  • Refactor the source code

    • Move Training implementation from cmd into pkg

  • Automatic Test Enhancement:

    • Unit test
    • Integration test