Systems | Development | Analytics | API | Testing

Applied Machine Learning Prototypes (AMPs) are open source projects that will fundamentally change the way data scientists build, deploy, and monitor ML models. These fully-developed prototypes are built around common industry use cases — like Churn Prediction Monitoring, Anomaly Detection, and more — and can be customized to give you significant head start. Available in Cloudera Machine Learning, AMPs are tested, trusted, and research backed by Fast Forward Labs.

Take a look at the notebook in Github: https://github.com/yaronha/demos/tree/azureml-demo/azureml-demo

This video explains Edge Flow Manager (EFM) integration with Prometheus and Grafana. After installing and configuring Prometheus to scrape, EFM should also be configured to expose metrics. When the time series are in place, Grafana is also installed and configured to visualize exposed metrics. There are some EFM specific Grafana dashboards that are publicly available that can be easily downloaded and imported to Grafana. When everything is configured correctly agent specific dashboards can be accessed from the EFM UI.

Ably CTO James Aley gives a quick overview of the Ably platform. Find out what Ably offers to software developers and infrastructure teams building and supporting realtime features and products for millions of users, ask your questions, and get answers live. Additional reading mentioned in the session: About Ably

How does Martin optimize data for business analytics? In this Serverless Expeditions Shorts, Martin describes how he leverages the power of BigQuery to efficiently run queries across millions of records to drive business decisions.