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Stability improvement

Stability is the first priority of milvus for now.

The community decide to improve stability to a new step in the next major release, including:

Performance

       2C8G 1M 128 dim Vector, serial search latency < 5ms

       2C8G 1M 128 dim Vector, concurrent search latency < 50ms

       Support large cluster with tens of billion vectors and scale linearly

Major functionalities 

Data backup

        Resource Group

SDK

          Go SDK fully tested

          Refine python, java, go, node SDK and sync up all APIs

Enhancement

1. Refactoring Data storage format to support new scalar execution engine and better compression
2. Refactoring data coordinator and index coordinator, combine to single process and make it easy to understand and deploy

Ecosystem

1. Support Huggingface , PaddlePaddle as the inference engine 
2. Support Data Migration from Milvus 1.0, Faiss, Hnswlib
3. Support to deploy Milvus on GCP easily

Documents