This article explains how Shuhe Tech combined Knative with AI workloads to achieve 60% resource cost savings and reduce model deployment cycles from one day to half a day, detailing Knative's architecture, request‑based autoscaling, multi‑version releases, and advanced scaling features.
This article explains how Knative implements request‑based autoscaling with KPA, details the scale‑to‑zero mechanism, shows how to handle burst traffic using stable and panic windows, and demonstrates advanced extensions such as resource pools, precise MPA scaling, and predictive AHPA configurations with concrete YAML examples.
This article explains the principles behind Knative Autoscaler, compares Knative Pod Autoscaler (KPA) with Kubernetes Horizontal Pod Autoscaler (HPA), and provides step‑by‑step configuration and demo instructions for achieving true serverless scaling on Kubernetes.
This article explains Knative’s traffic‑driven autoscaling and gray‑release capabilities, detailing the request flow architecture, the roles of Service, Configuration, Route and Revision, and walks through built‑in scaling strategies such as KPA, HPA, scheduled‑HPA, event‑gateway and custom plugins, with practical examples.
