Hello, I have real-time financial data as input and want to build an MLOps pipeline with multiple components, each connected via gRPC. I'm considering different services like Data Ingestion, Data Preparation, Model Training, Model Evaluation, etc. My questions are: 1. If I use BentoML, will it be a suitable choice for building a large pipeline? 🤔 2. How can I integrate gRPC into BentoML? 🤔 3. Are there any limitations with BentoML that could create problems, for example, issues that might arise when using Flask and FastAPI but not with BentoML? 🤔

usually, neither BentoML nor FastAPI etc are suited for this use case.. unless you have other special requirements not listed here