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Get to anomaly detection faster with Cloudera's Applied Machine Learning Prototypes

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.

Kubernetes Logs Collection with MiNiFi C++

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.

Automated Visual UI Testing on the Katalon Platform

Quality on the UI matters – and visual testing does too. The Katalon platform pairs automated functional and UI testing to help teams deliver applications that win: win time-to-market and win the trust of digital customers. With AI-infused into the solution, no additional third-party tools or extensions are needed to highlight critical mismatches in layout, colors, fonts, and misplacement of visual elements.#visualtesting #visualuitesting #katalon #automatedvisualtesting