In this tutorial, we use a Nuclio serverless function to “listen” to a Kafka stream and then ingest its events into our time series table.
In this tutorial, we use a Nuclio serverless function to “listen” to a Kafka stream and then ingest its events into our time series table.
Running your code at scale and in an environment other than yours can be a nightmare. Here's how to use MLRun to quickly deploy applications, and run on Kubernetes without changing code or learning a new technology.
Yaron Haviv explains serverless and its limitations, providing a hands-on example of using a serverless architecture to simplify data science development and accelerate time to production for data collection, exploration, model training and serving.