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 ...

Discover the 7 best cloud orchestration tools for enterprises in 2026, including AWS CloudFormation, Ansible, Spacelift, CloudBolt, and more. Compare features, pricing, multi-cloud support, and use ...

The Linux Foundation's CAMARA project is exposing telecommunications network capabilities to AI agents through the Model ...

With new Make.com and Zapier v2 integrations plus API, WebWork now connects time tracking data to thousands of business ...

As AI agents begin operating across enterprise systems, MCP is emerging as the connective layer IT leaders can’t afford to ...

Core Internet infrastructure will require greater redundancy and more sophisticated congestion management technologies to ...

Statista and Grand View Research have compiled new market data that shows the global IT outsourcing market was expected to be worth between USD 780 billion and USD 800 billion in 2025, and it will ...

UK firms scrapped AI projects in 2025. Five production line mistakes, real failure stats, Made Smarter data, and a fix-it ...

Announced last year, Edge extends Aras Innovator with a set of cloud-delivered governance and API utilities that connect digital threads to external users, developers, applications, and AI resources.

Most API vulnerabilities are fast, remote, and easy to exploit. Attackers take full advantage of these attributes.