diff --git a/pages/cockpit/how-to/send-metrics-from-k8s-to-cockpit.mdx b/pages/cockpit/how-to/send-metrics-from-k8s-to-cockpit.mdx
index e951958299..df93ac588c 100644
--- a/pages/cockpit/how-to/send-metrics-from-k8s-to-cockpit.mdx
+++ b/pages/cockpit/how-to/send-metrics-from-k8s-to-cockpit.mdx
@@ -70,20 +70,20 @@ alloy-singleton:
 
 ## Add annotations for auto-discovery
 
-Annotations in Kubernetes provide a way to attach metadata to your resources. For `k8s-monitoring`, these annotations signal which Pods should be scraped for metrics, and what port to use. In this documentation we are adding annotations to specify we want `k8s-monitoring` to scrape the Pods from our deployment. Make sure that you replace `$METRICS_PORT` with the port where your application exposes Prometheus metrics.
+Annotations in Kubernetes provide a way to attach metadata to your resources. For `k8s-monitoring`, these annotations signal which Pods should be scraped for metrics, and what port to use. These annotations have to be on the Pods that the deployement will spawn so they have to be in the Pod template, not the deployement itself.
+In this documentation we are adding annotations to specify we want `k8s-monitoring` to scrape the Pods from our deployment. Make sure that you replace `$METRICS_PORT` with the port where your application exposes Prometheus metrics.
 
 ### Kubernetes deployment template
 
 ```yaml
 apiVersion: apps/v1
 kind: Deployment
-metadata:
-  ...
-  annotations:
-    "k8s.grafana.com/metrics.portNumber" = "$METRICS_PORT"
-    "k8s.grafana.com/scrape" = "true"
 spec:
-  ...
+  template:
+    metadata:
+      annotations:
+        "k8s.grafana.com/metrics.portNumber" = "$METRICS_PORT"
+        "k8s.grafana.com/scrape" = "true"
 ```
 
 ### Terraform/OpenTofu deployment template
@@ -173,4 +173,4 @@ Now that your metrics are exported to your Cockpit, you can access and query the
 6. In the **Labels filter** drop-down, select the `cluster` label and in the **Value** drop-down, select your cluster.
 7. Optionally, click the **Clock** icon on the top right corner of your screen and filter by time range.
 8. Click **Run query** to see your metrics. An output similar to the following should display.
-<Lightbox image={image} alt="" />
\ No newline at end of file
+<Lightbox image={image} alt="" />