MLRun is a generic and convenient mechanism for #data scientists and software developers to build, run, and monitor #machinelearning (ML) tasks and pipelines on a scalable cluster while automatically tracking executed code, metadata, inputs, and outputs. On-Premise or Barebone/Metal - including Edge AI / Analytics Customers include NetApp, Quadient, Payoneer (and many more).

If you are installing Node.js in Linux to use it in production, there is a big chance that you are using NodeSource Node.js Binary Distributions. In this talk you can find the process in which NodeSource Node.js Binary Distributions is updated, how new versions are supported, the human and infrastructure process, and some limitations of maintaining the channel. Also and most importantly, how the community can get involved with this project.

In this video, we look at how to:

• organize tests into Run Groups, and set automatic testing schedules
• organize tests into Features
• organize tests into Saved Filters
• use Rainforest's powerful search & filtering abilities to organize and reference tests within our database

MLOps Live #5 - With NetApp - How to Build a Predictive Maintenance Solution at Scale

With Perfecto providing the test cloud and Bitrise executing CI, teams are able to run their Espresso, XCUItest, Selenium, and Appium tests on Perfecto devices. This helps developers achieve immediate feedback, as test results provide insights into the health of their applications.

In this session, Sauce Labs Senior Solutions Architect and Selenium project core contributor Titus Fortner provides an overview of what Selenium is and how it works. He then breaks down the seven components of all Selenium tests before diving into various ways to start sessions and locate elements. Finally, the session ends with a walkthrough of all the major functionality for working with elements and various browser components.