The Friday Five is a weekly Red Hat® blog post with 5 of the week's top news items and ideas from or about Red Hat and the technology industry. Consider it your weekly digest of things that caught our eye.
CHECK IT OUT:
You asked. We acted: Red Hat Customer Portal launches improved technical documentation user experience
With the improved user experience for all technical documentation on the Customer Portal, we focused our efforts on three main areas of improvement; readability, accessibility and responsiveness, and interactivity to get more out of our documentation from more devices.
IN THE NEWS:
SD Times - Improvements to the developer experience in OpenShift 4.11
Red Hat OpenShift, the enterprise-ready Kubernetes container platform for an open hybrid cloud strategy, recently released the platform’s newest update, 4.11. Developers gain several improvements to the developer experience in the web console, including dark mode, a long-awaited feature.
Technically Speaking (E15): Machine learning model drift & MLOps pipelines
Machine learning at the edge is trendy, but what basics do you need to know? In this episode, Kavitha Prasad from Intel joins Chris Wright to talk about machine learning, MLOps and model drift. Join us to learn more about using MLOps practices to scale machine learning using the edge.
The Enterprisers Project - 5 powerful ways to improve your IT team's culture right now
Culture is a key aspect of team performance and organizational health. In today’s world, teams that are actively included and engaged in the conversation are more productive and experience higher work satisfaction. Intentional support and development are needed for a strong culture that enables opportunities to change and grow.
ON THE BLOG:
Edge automation: Seven industry use cases and examples
By placing computing services closer to these locations, users benefit from faster, more reliable services and organizations benefit from the flexibility and agility of the open hybrid cloud. Learn more about the benefits, challenges and examples of edge computing.