The Applied Machine Learning Prototype (AMP) for anomaly detection reduces implementation time by providing a reference model that you can build from. Built by Fast Forward Labs, and tested on AMD EYPC™ CPUs with Dell Technologies, this AMP enables data scientists across industries to truly practice predictive maintenance.

Watch this step-by-step tutorial to learn how easy it is to install Yellowfin on either a Mac or Linux computer. You will need a Yellowfin license.

With mobile app and API performance top-of-mind at most companies, why do development, testing and SRE teams continue to trust in traditional stress/load tests and uptime or synthetic monitors that provide only a false sense of security about performance in the real world?

Watch this video with Yaron, CTO and Co-Founder of Iguazio as he dives into different features and ways to use Iguazio's open source tool, MLRun.

In this first video from our Virtual Production 201 series, learn how a virtual art department (VAD) works with a virtual production. Set your studio up for success with on-demand virtual production training by the pros.

Watch as Sharon Sharlin and Oded Keret present 'Dynamic Observability: The Quest For Real-Time Data In Cloud-Native Applications' at GoTo Amsterdam 2022.

Senior Software Engineer Mostafa Moradian joins us to talk about load testing Apache Kafka using k6 and the extension he created, called xk6-kafka. He describes what Kafka is, the basics of Kafka, and why he thinks load testing it is important. Mostafa works on the backend team at k6/Grafana Labs. // REFERENCES We used some video clips from these awesome people: And here are other resources we mentioned.

The MiNiFi C++ agent provides many features for collecting and processing data at the edge. All the strengths of MiNiFi C++ make it a perfect candidate for collecting logs of cloud native applications running on Kubernetes. This video explains how to use the MiNiFi C++ agent as a side-car pod or as a DaemonSet to collect logs from Kubernetes applications. It goes through many examples and demonstrations to get you started with your own deployments. Don’t hesitate to reach out to Cloudera to get more details and discuss further options and integrations with Edge Flow Manager.