Red Hat News/Leftovers

• Talking UX at DevConf.us 2018

  DevConf.us 2018 is the first annual, free, Red Hat sponsored technology conference in North America for contributors to free and open source projects. It follows on the success of DevConf.cz and DevConf.in, and will highlight emerging technologies like machine learning and artificial intelligence, serverless, containers and orchestration, as well as important foundational practices like quality engineering and user experience. We sat down with a few of the Red Hat speakers presenting on user experience (UX) in open source technologies to talk about user experience and how it impacts them in all of their different roles.

• Visualizing a DevOps mindset

• These two stocks can make you build again: Red Hat, Inc. (RHT), Caesars Entertainment Corporation (CZR)

• Red Hat, Inc. (RHT) is at $139.13 per share and SendGrid, Inc. (SEND) is listed at $30.93

• The Bears Are Wrong Again: Red Hat, Inc. (RHT), Analog Devices, Inc. (ADI)

• Form 4 RED HAT INC For: Aug 15 Filed by: ABBASI SOHAIB

Cloudgizer: An introduction to a new open source web development tool

Cloudgizer is a free open source tool for building web applications. It combines the ease of scripting languages with the performance of C, helping manage the development effort and run-time resources for cloud applications. Cloudgizer works on Red Hat/CentOS Linux with the Apache web server and MariaDB database. It is licensed under Apache License version 2.

James Bottomley on Linux, Containers, and the Leading Edge

It’s no secret that Linux is basically the operating system of containers, and containers are the future of the cloud, says James Bottomley, Distinguished Engineer at IBM Research and Linux kernel developer. Bottomley, who can often be seen at open source events in his signature bow tie, is focused these days on security systems like the Trusted Platform Module and the fundamentals of container technology.

TransmogrifAI From Salesforce

• Salesforce plans to open-source the technology behind its Einstein machine-learning services

  Salesforce is open-sourcing the method it has developed for using machine-learning techniques at scale — without mixing valuable customer data — in hopes other companies struggling with data science problems can benefit from its work. The company plans to announce Thursday that TransmogrifAI, which is a key part of the Einstein machine-learning services that it believes are the future of its flagship Sales Cloud and related services, will be available for anyone to use in their software-as-a-service applications. Consisting of less than 10 lines of code written on top of the widely used Apache Spark open-source project, it is the result of years of work on training machine-learning models to predict customer behavior without dumping all of that data into a common training ground, said Shubha Nabar, senior director of data science for Salesforce Einstein.

• Salesforce open-sources TransmogrifAI, the machine learning library that powers Einstein

  Machine learning models — artificial intelligence (AI) that identifies relationships among hundreds, thousands, or even millions of data points — are rarely easy to architect. Data scientists spend weeks and months not only preprocessing the data on which the models are to be trained, but extracting useful features (i.e., the data types) from that data, narrowing down algorithms, and ultimately building (or attempting to build) a system that performs well not just within the confines of a lab, but in the real world.