Friday Five — September 1, 2023

IN THE NEWS:

SiliconANGLE - IBM and Red Hat’s vision for containerized and VM-based environments

SiliconANGLE sat down with IBM leaders to discuss how Red Hat and IBM are on a quest for flexibility in hybrid cloud environments, the bridge between cloud and on-premises solutions, and the intersection of AI and data in this dynamic landscape.

 

ON THE BLOG:

New Red Hat Insights capabilities available for managing Red Hat Enterprise Linux

Red Hat Insights has long been known for predictive analytics that can identify potential issues and recommend solutions so IT teams can address those issues before they cause an outage, security breach, or other major problem. The expansion of Insights beyond analytics with new and enhanced management capabilities designed to help reduce enterprise Linux complexity across the hybrid cloud without slowing innovation, was initially announced at Red Hat Summit. We're happy to share that all the Insights features and enhancements are now generally available.

 

CHECK IT OUT:

Code Comments - Season 2: Adjusting To Automation

Automation is a game-changer. It promises to decrease time to deploy, reduce errors, and increase reliability and efficiency. But you can’t automate change. What does it take for teams to actually reach that finish line? And how does it affect how they actually work? Season 2 of Code Comments goes beyond the sales pitch and features teams who’ve tackled automation. Because there’s no script for adjusting to automation.

GOOD READ:

CIO - 7 project priority checks for overloaded IT agendas

As organizations pursue digital transformation, it falls on CIOs to sift through and prioritize the work that needs to be done. Red Hat's Jim Palermo along with other IT leaders discuss how they address this surfeit, evaluate initiatives, and make the difficult decisions to support company goals.

LEARN MORE:

Introducing Kepler: Efficient power monitoring for Kubernetes

Monitoring and optimizing power consumption is crucial for efficient resource management in Kubernetes environments. To address this need, a powerful tool called Kepler (Kubernetes-based Efficient Power Level Exporter) has emerged. Leveraging software counters, custom machine learning (ML) models, and the Cloud Native benchmark suite, Kepler offers accurate energy estimates and detailed reporting of power consumption at the pod level.