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.

Asking an engineer to refactor a large, tightly coupled AI pipeline to test an idea is almost guaranteed to fail. Monoliths don’t optimize well either. You’ll spend more time (and money) iterating on ...

Cloud logs can be inconsistent or incomplete, creating blind spots as environments scale and change. Corelight shows how ...

Leaked non-human identities like API keys and tokens are becoming a major breach driver in cloud environments. Flare shows ...

Developer Knowledge API and Model Context Protocol server. Together connect AI agents to Google’s developer and Google Cloud ...

Anath Bandhu Chatterjee develops resilient cloud-native APIs for wholesale payment systems, ensuring zero data loss and ...

Here is Grok 4.20 analyzing the Macrohard emulated digital human business. xAI’s internal project — codenamed MacroHard (a ...

The financial cost of running LLMs is astonishing. In response, the industry has rushed toward FinOps for AI, the practice of meticulously tracking and optimizing every dollar spent on computation.

US Secret Service gets involved, as merchants report cash payments only.

Global communications platform Infobip, has levelled-up marketing performance with advanced optimization capabilities for ...

With OpenAI's latest updates to its Responses API — the application programming interface that allows developers on OpenAI's platform to access multiple agentic tools like web search and file search ...

Google Cloud hits a $70B run rate as revenue, margins, backlog and Gemini adoption surge—see key Q4 metrics plus FY26 CapEx ...