Fluid compute
Fluid compute combines the scalability of serverless with the flexibility of servers, enabling real-time, efficient workloads like APIs, streaming, and AI.| Vercel
Fluid compute combines the scalability of serverless with the flexibility of servers, enabling real-time, efficient workloads like APIs, streaming, and AI.| Vercel
Learn how to use Rolling Releases for more cautious deployments.| vercel.com
Learn about available APIs when working with Vercel Functions.| vercel.com
Learn about fluid compute, an execution model for Vercel Functions that provides a more flexible and efficient way to run your functions.| vercel.com
Fluid compute now uses Active CPU pricing. Only pay CPU rates when your function is actively computing. Building on existing Fluid gains, this brings additional savings of up to 90% for workloads like LLM calls, AI agents, or tasks with idle time.| Vercel
Objectives Perform a rolling update using kubectl. Updating an application Rolling updates allow Deployments' update to take place with zero downtime by incrementally updating Pods instances with new ones. Users expect applications to be available all the time, and developers are expected to deploy new versions of them several times a day. In Kubernetes this is done with rolling updates. A rolling update allows a Deployment update to take place with zero downtime.| Kubernetes
