AI can help manage cloud resources for DevOps by predicting future needs based on usage trends and automatically adjusting resources to optimize cost and performance ...

AI has the potential to greatly improve the efficiency, accuracy and effectiveness of DevOps continuous integration (CI) practices ...

In several projects of late, I have noted a trend in otherwise rockstar IT departments: They identify an area that they wish to implement or approve and then set out to address ...

DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted to better serve our audience. Our goal in these challenging economic times is to ...

A CloudBolt survey found more than three-quarters of respondents said it will take two to three years to see real FinOps-driven results ...

Tabnine this week made available in beta a tool that enables developers to use natural language to interact with the artificial intelligence (AI) models embedded within its test automation platform. Brandon Jung, ...

AI can support monitoring and observability by analyzing logs and metrics to predict potential system failures or performance degradation ...

In this week’s #TheLongView: Red Hat Enterprise Linux (RHEL) goes closed source. Well—not really, but … ...

In my recent article Revolutionizing the Nine Pillars of DevOps with AI-Engineered Tools, I explained that the continuous delivery pillar is an approach where code changes are automatically built, tested and prepared ...

Platform engineering offers lots of tangible benefits for businesses, but sustainable platform engineering can be even better ...

Platform engineering bridges the existing gaps between software, hardware and infrastructure that come with adopting DevOps practices ...

HashiCorp this week acquired BluBracket to add a set of static secrets discovery tools to its portfolio ...