SoftwarePlaza IT Magazine

Join Superhuman leaders to explore uniting Grammarly, Coda, and email into one AI platform, scaling partnerships across EMEA, and real enterprise collaboration use cases globally.

As AI-driven development accelerates, the attack surface is expanding faster than human reviewers can keep up. In this summary of the Software Plaza podcast featuring Arnica CEO Nir Valtman, we explore a developer-native approach to ASPM. Discover how Arnica’s AI assistant, Arnie, resolves up to 78% of vulnerabilities before they even reach the pull request. By combining rule-based scans with "meaning-based" AI analysis, Arnica ensures that both human and AI-generated code meet strict business and regulatory standards without slowing down the sprint

Discover practical AWS cloud cost optimization strategies that help enterprises reduce spending by up to 70% without sacrificing performance or slowing growth.

Intel outlines new processors built on its 18A manufacturing process, targeting AI-powered PCs and future server platforms.

At CES 2026, NVIDIA introduced new AI data center GPUs and its Vera Rubin platform, designed to support large-scale AI training and inference.

AWS expands its AI push with Trainium3 UltraServers and future Nvidia NVLink integration as hyperscalers seek scale, efficiency, and alternatives.

Bridge MySQL and MariaDB differences with a practical migration guide covering performance, storage engines, compatibility, and step-by-step actions to ensure a smooth, stable transition success.

A boom in AI infrastructure spending has fueled a global shortage of memory chips, driving up prices, depleting stocks, and straining supply chains for technology and consumer markets.

Kat Cosgrove of Minimus discusses retiring Ingress NGINX, maintainer burnout, security risks, Kubernetes governance, and what migration to Gateway API means for platform teams.

Microsoft has reportedly adjusted AI software sales targets to mirror slow adoption, revealing a serious gap between AI ambition and real-world implementation.

NVIDIA and AWS deepen their collaboration through enhanced hardware, cloud and software integration to power the generation of enterprise AI tasks.

Learn how Mirantis combines GitOps, chaos engineering, and automated remediation to build self-healing Kubernetes platforms that scale safely and reliably.