Friday Five — October 5, 2018

This week, Red Hat previewed new Ansible Automation integrations to help customers automate and orchestrate enterprise security solutions, further extending Red Hat's leadership across the IT security landscape. Starting with networks, Red Hat has been driving Ansible Automation into IT domains beyond operations, enabling users to more easily automate more tasks in more ways, including security tasks.

This week, Red Hat announced the Red Hat Ansible Automation Certification Program to more readily deliver tested, trusted and supported Red Hat Ansible Automation. With more than two million customer systems now managed by Red Hat Ansible Tower, the certification program is intended to help further accelerate user deployment times by providing improved security, reliability and consistency of content.

This week at AnsibleFest Austin, Red Hat announced Red Hat Satellite 6.4, the latest version of Red Hat's infrastructure management solution designed to keep Red Hat infrastructure running more efficiently and with the proper security provisions in place, will be available later in October. For the first time, Red Hat Satellite will be enhanced with a deeper integration with Red Hat Ansible Automation technology for an automation-centric approach to IT management.

Nominations for the 2019 Red Hat Innovation Awards are now open until November 7, 2018. These awards recognize successful open source IT implementations that are making a difference in organizations. Five winners will be chosen as well as five honorable mentions, and will honored at the 2019 Red Hat Summit in Boston.

Creating ChRIS is a video series from Red Hat that shows what happens when passionate visionaries and open technologies come together. Born out of a tight partnership between Boston Children's Hospital, the Massachusetts Open Cloud (MOC), and Red Hat, the series follows a group of talented researchers as they develop the "ChRIS Research Integration System" an open source, web-based medical imaging platform that greatly increases the speed at which medical professionals can analyze medical images such as MRIs.