Apply suggestions from code review

Co-authored-by: Néda <[email protected]>

Author: bene2k1

pages/kubernetes/how-to/access-kubernetes-dashboard.mdx

@@ -27,7 +27,7 @@ categories:
    Here, you can troubleshoot your containerized application, manage the cluster resources, get an overview of applications running on your cluster, and create or modify certain resources.
 
 <Message type="note">
-  The Kubernetes dashboard offers insights into your cluster's workloads, applications, and individual resource metrics. Unlike Cockpit's control plane dashboards, this dashboard focuses more on operational details within your data plane—the nodes and workloads running in your cluster.
+  The Kubernetes dashboard offers insights into your cluster's workloads, applications, and individual resource metrics. Unlike Cockpit's control plane dashboards, this dashboard focuses more on operational details within your data plane such as the nodes and workloads running in your cluster.
 
   For advanced observability of your Kubernetes Kapsule Data Plane, refer to [How to monitor your Kubernetes Kapsule Data Plane with Cockpit](/containers/kubernetes/how-to/monitor-data-plane-with-cockpit/).
 </Message>

pages/kubernetes/how-to/monitor-cluster.mdx

@@ -24,7 +24,7 @@ Grafana's rich visualizations and ease of use make it an ideal choice. Cockpit o
 * Achieve a better understanding of your infrastructure by analyzing data on your API server, system applications and up/down scaling behavior
 
 <Message type="important">
-  **Control Plane monitoring**: Scaleway Kapsule natively provides monitoring for the control plane, free of charge. Additionally, monitoring of the data plane is possible. To monitor the data plane, refer to [How to monitor your Kubernetes Kapsule Data Plane with Cockpit](/kubernetes/how-to/monitor-data-plane-with-cockpit/). For detailed observability, refer to [How to send logs from your Kubernetes cluster to your Cockpit](/cockpit/how-to/send-log-from-k8s-to-cockpit/).
+  **Control Plane monitoring**: Scaleway Kapsule natively provides monitoring for the control plane, free of charge. Additionally, monitoring of the data plane is possible. To monitor the data plane, refer to [How to monitor your Kubernetes Kapsule Data Plane with Cockpit](/kubernetes/how-to/monitor-data-plane-with-cockpit/). For detailed observability, refer to the [documentation on how to send logs from your Kubernetes cluster to your Cockpit](/cockpit/how-to/send-log-from-k8s-to-cockpit/).
 
   **Control Plane vs. Data Plane**: The control plane is responsible for managing the Kubernetes cluster’s state and orchestrating workloads, while the data plane consists of the nodes that execute the workloads.
 

pages/kubernetes/how-to/monitor-data-plane-with-cockpit.mdx

@@ -15,7 +15,7 @@ dates:
 
 You can now send **data plane** logs from your [Kapsule or Kosmos](https://www.scaleway.com/en/kubernetes) clusters to [Cockpit](https://www.scaleway.com/en/cockpit/), providing centralized, real-time access to application and system logs. Reduce complexity and manual work thanks to this integration, powered by a **Promtail** deployment via [Easy Deploy](/kubernetes/how-to/enable-easy-deploy/).
 
-With this feature:
+This feature allows you to:
 
 - **Enhance observability**: View logs from all your Kubernetes containers in one place.
 - **Simplify troubleshooting**: Quickly drill down into specific pods or containers without needing to configure a separate logging stack.
@@ -60,7 +60,7 @@ The system leverages **Promtail** (a lightweight log collector) running on your
 
 You can use Scaleway’s **[Easy Deploy](/kubernetes/how-to/enable-easy-deploy/)** to add a Promtail deployment to your cluster:
 
-1. **Open the Scaleway Console** and go to your **Kubernetes** cluster.
+1. Log in to the [Scaleway console](https://console.scaleway.com/) and go to your **Kubernetes** cluster.
 2. Navigate to the **Easy Deploy** tab.
 3. Select **Promtail for Cockpit** from the library.
 4. **Deploy** the application. Promtail will install on your cluster with default settings that:
@@ -74,6 +74,7 @@ You can use Scaleway’s **[Easy Deploy](/kubernetes/how-to/enable-easy-deploy/)
       cockpit_promtail_scrape_config_journal: "kubelet.service,kube-proxy.service"
       ```
     </Message>
+    
 ### Example Promtail configuration
 Below is a simplified snippet of the configuration that Easy Deploy generates by default:
 ```yaml
@@ -99,19 +100,19 @@ extraVolumes:
   Template values like `{{{ cockpit_bearer_token }}}` (Bearer Token) and `{{{ cockpit_loki_push_url }}}` (Loki URL) are automatically set. Avoid modifying these values.
 </Message>
 
-## Observing logs in Cockpit
+## Visualizing logs in Cockpit
 
 Once Promtail is running:
 
-1. Go to **Cockpit** → **Kubernetes Cluster Pod Logs** (or open your own Grafana connected to Cockpit).
+1. Go to **Cockpit**, then **Kubernetes Cluster Pod Logs** (or open your own Grafana connected to Cockpit).
 2. **Filter** by:
    - `Datasource` which is automatically created upon deployment, and visible in the Cockpit console
    - `Cluster Name` ( e.g. `my-kapsule-cluster`)
    - `namespace`, `pod`, or `container` labels to isolate specific workloads
    - **Time range** to limit how far back in history you want to query
 3. **Analyze** logs in real-time or historical mode to troubleshoot issues, watch for errors, or track performance.
 
-## Usage & pricing
+## Usage and pricing
 
 Sending logs to Cockpit is billed based on the **total volume of logs ingested**. You are charged *€0.15 per million log lines* (samples) or partial million.