IT Leadership | News, how-tos, features, reviews, and videos
You’ll only attract top-tier developers if your organization is built to support them. And if you avoid these common mistakes.
A viral video from years ago reminds us of the importance of strategy over impulse, an especially valuable point in light of AI and cloud computing.
High cloud costs rooted in insufficient training and inadequate architectural oversight use up money that could go to innovation or new markets.
Navigating the new world requires business resilience, heterogeneous architectures, and a more diverse approach to cloud partnerships.
Generative AI is redefining software engineering leadership roles by augmenting developer productivity, not eliminating jobs, according to a recent Gartner report.
Don’t call it technical debt unless you’re going to go back and fix it. Otherwise, you’re just giving the team permission to do things the wrong way.
Enterprises should look at cost-effective alternatives like private clouds, colocation, managed service providers, or hybrid solutions.
Developers don’t need open office spaces that foster spontaneous collaboration. They need a quiet place for deep concentration.
Most organizations lack the foundational infrastructure needed to deploy AI agents effectively, with fragmented knowledge access and security concerns the biggest barriers.
Application modernization isn’t a one-time project but an ongoing commitment to innovation. Here’s how to get started.
