diff --git a/content/en/containers/autoscaling/cluster.md b/content/en/containers/autoscaling/cluster.md
index e0fc116312e..4ef03a91ec2 100644
--- a/content/en/containers/autoscaling/cluster.md
+++ b/content/en/containers/autoscaling/cluster.md
@@ -3,12 +3,7 @@ title: Kubernetes Cluster Autoscaling
 description: Automatically scale your clusters with Kubernetes Cluster Autoscaling.
 ---
 
-{{< callout url="https://www.datadoghq.com/product-preview/kubernetes-cluster-autoscaling/"
- btn_hidden="false" header="Join the Preview!">}}
-Datadog Kubernetes Cluster Autoscaling is in Preview. Use this form to submit your request today.
-{{< /callout >}}
-
-<div class="alert alert-warning">During the Preview period, Datadog recommends <strong>non-production use only</strong> of Datadog Kubernetes Autoscaling.</div>
+<div class="alert alert-warning">During the Limited Availability period, Datadog recommends <strong>non-production use only</strong> of Datadog Kubernetes Cluster Autoscaling. Email <a href="mailto:kubernetes-beta@datadoghq.com">kubernetes-beta@datadoghq.com</a> for more information and support.</div>
 
 ## Requirements
 - Datadog Agent v7.75+
@@ -77,7 +72,7 @@ In Datadog, navigate to [Kubernetes Autoscaling][5]. You can review all your clu
 
 {{< img src="containers/autoscaling/settings.png" alt=" The Autoscaling Settings page showing the Enable Clusters for Autoscaling section. Displays a filterable table of Kubernetes clusters with columns for cluster name, nodes, CPU capacity, memory capacity, CPU usage percentage with visual bars, memory usage percentage with visual bars, autoscaled workloads count, cluster scaling availability, workload scaling availability, and an enabled toggle switch. Toggle switches on the right show which clusters have autoscaling enabled." style="width:100%;" >}}
 
-Use the [Cluster Scaling][6] page and select a cluster to review its recommendations. Identify a cluster you want to begin optimizing. During the Preview period, Datadog recommends selecting a **non-production cluster**.
+Use the [Cluster Scaling][6] page and select a cluster to review its recommendations. Identify a cluster you want to begin optimizing. During the Limited Availability period, Datadog recommends selecting a **non-production cluster**.
 
 {{< img src="containers/autoscaling/cluster-view.png" alt="The Cluster Scaling detail page for cluster dev-eks-shopist-a-us-east-1. The Cost Summary section displays four metrics: cluster cost of $140.7k with negative $3.1k month-over-month change, idle cost of $93.66k with negative $2.29k change, CPU usage/request efficiency at 27.24%, and memory usage/request efficiency at 35.15%. The Scaling Events section shows two time-series graphs tracking CPU and memory metrics over the past month, with fluctuating usage patterns, alongside a timeline of recent scaling events including pod and DatadogPodAutoscaler activities. The Scaling Recommendations section displays a table of workloads with idle CPU and memory, showing 8.7% autoscaling enabled." style="width:100%;" >}}