Cloud Computing | News, how-tos, features, reviews, and videos
After all these years, we still haven’t implemented enough finops, automation, and governance to stop wasting money in the cloud.
Success with a multi-tenant architecture requires the close alignment of design, use case, and underlying technology. Let’s dive into the key design patterns, their benefits, and their challenges.
You’ve probably heard how generative AI will solve all cloud migration problems. It’s not that simple. Generative AI could actually make it harder and more costly.
Microsoft has delivered major updates to its serverless compute service to align it more closely with development trends including Kubernetes and generative AI.
In addition to adding new LLMs to its Bedrock generative AI service, AWS is releasing a new Guardrails API that is open for use across other platforms.
Platform teams have emerged as critical enablers of innovation and efficiency because of their ability to provide a solid foundation for the development, deployment, and scaling of new technologies.
Buy all the processing and storage you can or go with a minimum viable platform? AI developers and designers are dividing into two camps.
Once we get past the disappointment that AI can’t solve everything, we can use it for things it’s actually good at.
Despite AI's explosive growth, the industry still needs to face facts that customers are unhappy about costs and vendor lock-in.
Microsoft is adding a fast vector search index to Windows. It’s tailor-made for fast, local small language models like Phi Silica.