Consistent Hashing
Consistent hashing ensures that even if the number of pods changes (pods are added or removed), the majority of requests are still routed to the same pods. This is achieved by mapping each pod to a point on a hash ring (a virtual ring). The hash of the request is used to find the nearest point on the ring, and the corresponding pod is selected.
Does Kubernetes use Consistent Hashing?
Yes, Kubernetes uses consistent hashing for load balancing and distributing traffic across pods in a Kubernetes cluster. When a client sends a request to a service, the request is directed to one of the pods behind the service.
- Kubernetes uses consistent hashing to map each request to a specific pod, ensuring that requests for the same resource are consistently routed to the same pod.
- This helps in maintaining session affinity and ensures that requests related to the same session are processed by the same pod.
Below is an explanation of how it works: