Update docs-gb/kubernetes/hpa-rps-autoscaling.md

docs-gb/kubernetes/hpa-rps-autoscaling.md

@@ -101,7 +101,7 @@ data:
 {% endcode %}
 
 In this example, a single rule is defined to fetch the `seldon_model_infer_total` metric
-from Prometheus, compute its rate over a 1 minute window, and expose this to k8s as the `infer_rps`
+from Prometheus, compute its rate over a 1 minute window, and expose this to Kubernetes as the `infer_rps`
 metric, with aggregations available at model, server, inference server pod and namespace level.
 
 When HPA requests the `infer_rps` metric via the custom metrics API for a specific model,