Devops teams are partnering with AI copilots and agents to manage multicloud complexity. Here are seven ways genAI can improve multicloud adoption, governance, observability, and more.

The hyperscalers were quick to support AI agents and the Model Context Protocol. Use these official MCP servers from the major cloud providers to automate your cloud operations.

This dominance is not merely statistical; it embodies a quiet but powerful assertion of India’s position as the world’s ...

AI isn’t killing tech jobs — it’s changing them, favoring pros who pair data and cloud savvy with curiosity, empathy and ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

Canada’s tech scene is really taking off. It feels like every day there’s news about new companies, new jobs, and new ways technology is changing things. Big cities are becoming huge tech centers, ...

Learn how to build a high-maturity Application Security program with secure SDLC, developer-first practices, automated AppSec controls, practical threat modeling, runtime API protection, and ...

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

A developer-targeting campaign leveraged malicious Next.js repositories to trigger a covert RCE-to-C2 chain through standard ...

Organisations should adopt shared platforms and automated governance to keep pace with the growing use of generative AI tools ...

Markdown is emerging in VS Code and Visual Studio 2026 as a version-controlled instruction layer that governs AI agents, ...