How do I use MLRun for real-time streaming configuration?

Real-time streaming is the process of collecting and ingesting data and processing it in real-time to answer business use cases. In MLOps architectures, streams store sequenced information, or records of data, that can be used for production and consumption. Consuming the data from the streams in real-time, enables running applications that require online data, like e-commerce or fraud detection.

You can check out how to run a real-time pipeline with MLRun with the following demos:

• Model monitoring and drift detection (deploying a model to a live endpoint)
• Advanced model serving graph (deploying the graph as a real-time serverless functions)
• Distributed (multi-function) pipeline example