We use a Nuclio serverless function to “listen” to a Kafka stream and then ingest its events into our time series table.
MLOps Live: Join our complimentary webinar featuring industry experts on March 31st
Still waiting for ML training to be over? Tired of running experiments manually? Not sure how to reproduce results? Wasting too much of your time on devops and data wrangling?
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.