What enterprise devops teams should learn from SaaS

Many enterprise devops teams struggle to deploy frequently, increase test automation, and ensure reliable releases. What can they learn from SaaS companies, where developing and deploying software for thousands of customers is core to their revenue and business operations? SaaS companies must have robust testing, observability, deployment, and monitoring capabilities. One bad deployment can disrupt…

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Google gives enterprises new controls to manage AI inference costs and reliability

Google has added two new service tiers to the Gemini API that enable enterprise developers to control the cost and reliability of AI inference depending on how time-sensitive a given workload is. While the cost of training large language models for artificial intelligence has been a concern in the past, the focus of attention is…

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Understanding the risks of OpenClaw

Let’s begin with the core question: Is OpenClaw a cloud entity or not? The best answer is a complicated “not exactly, but functionally, yes.” OpenClaw AI Agent Platform is better viewed as an orchestration layer, runtime, or plumbing rather than a complete cloud platform. It provides the tools to build and manage agents but lacks the intelligence, data…

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Claude Code leak puts enterprise trust at risk as security, governance concerns mount

Anthropic likes to talk about safety. It even risked the ire of the US Department of Defense (also known as the Department of War) over it. But two unrelated leaks in the space of a week have put the company in an unfamiliar spotlight: not highlighting model performance or safety claims, but for its apparent…

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