Merge pull request #2665 from madeline-underwood/gardener

Gardener_JA to sign off

Author: jasonrandrews

content/learning-paths/servers-and-cloud-computing/gardener-gcp/_index.md

@@ -1,18 +1,14 @@
 ---
 title: Deploy Gardener on Google Cloud C4A (Arm-based Axion VMs)
 
-draft: true
-cascade:
-    draft: true
-
 minutes_to_complete: 50
 
-who_is_this_for: This learning path is intended for software developers deploying and optimizing Gardener workloads on Linux/Arm64 environments, specifically using Google Cloud C4A virtual machines powered by Axion processors.
+who_is_this_for: This is an introductory topic for software developers deploying and optimizing Gardener workloads on Linux Arm64 environments, specifically using Google Cloud C4A virtual machines powered by Axion processors.
 
 learning_objectives:
-  - Provision an Arm-based SUSE SLES virtual machine on Google Cloud (C4A with Axion processors)
+  - Provision an Arm-based SUSE Linux Enterprise Server (SLES) virtual machine on Google Cloud (C4A with Axion processors)
   - Install and configure Gardener on a SUSE Arm64 (C4A) instance
-  - Deploy Garden, Seed, and Shoot clusters locally using KinD
+  - Deploy Garden, Seed, and Shoot clusters locally using Kubernetes in Docker (KinD)
   - Validate Gardener functionality by deploying workloads into a Shoot cluster
   - Perform baseline security benchmarking of Gardener-managed Kubernetes clusters using kube-bench on Arm64
 
@@ -62,7 +58,7 @@ further_reading:
       type: documentation
 
   - resource:
-      title: kube-bench documentation
+      title: kube-bench security benchmarking tool
       link: https://github.com/aquasecurity/kube-bench
       type: documentation
 

content/learning-paths/servers-and-cloud-computing/gardener-gcp/background.md

@@ -1,25 +1,35 @@
 ---
-title: Getting started with Gardener on Google Axion C4A (Arm Neoverse-V2)
+title: Get started with Gardener on Google Axion C4A (Arm Neoverse-V2)
 
 weight: 2
 
 layout: "learningpathall"
 ---
 
-## Google Axion C4A Arm instances in Google Cloud
+## Explore Google Axion C4A Arm instances
 
-Google Axion C4A is a family of Arm-based virtual machines built on Google’s custom Axion CPU, which is based on Arm Neoverse-V2 cores. Designed for high-performance and energy-efficient computing, these virtual machines offer strong performance for modern cloud workloads such as CI/CD pipelines, microservices, media processing, and general-purpose applications.
+Google Axion C4A is a family of Arm-based virtual machines built on Google's custom Axion CPU, which uses Arm Neoverse-V2 cores. Designed for high-performance and energy-efficient computing, these virtual machines deliver strong performance for modern cloud workloads such as CI/CD pipelines, microservices, media processing, and general-purpose applications.
 
 The C4A series provides a cost-effective alternative to x86 virtual machines while leveraging the scalability and performance benefits of the Arm architecture in Google Cloud.
 
-To learn more about Google Axion, refer to the [Introducing Google Axion Processors, our new Arm-based CPUs](https://cloud.google.com/blog/products/compute/introducing-googles-new-arm-based-cpu) blog.
+To learn more about Google Axion, see the Google blog [Introducing Google Axion Processors, our new Arm-based CPUs](https://cloud.google.com/blog/products/compute/introducing-googles-new-arm-based-cpu).
 
-## Gardener
+## Explore Gardener
 
-Gardener is an open-source, Kubernetes-native system for managing and operating Kubernetes clusters at scale. It enables automated creation, update, healing, and deletion of clusters across multiple cloud and on-prem providers.  
+Gardener is an open-source, Kubernetes-native system for managing and operating Kubernetes clusters at scale. It enables automated creation, updates, healing, and deletion of clusters across multiple cloud providers and on-premises environments.
 
-Gardener uses Kubernetes APIs and CRDs to declaratively manage clusters in a cloud-agnostic way. It follows a **Garden–Seed–Shoot** architecture to separate control planes from workload clusters.  
+Gardener uses Kubernetes APIs and Custom Resource Definitions (CRDs) to declaratively manage clusters in a cloud-agnostic way. It follows a Garden–Seed–Shoot architecture to separate control planes from workload clusters:
 
-Gardener is widely used to build reliable internal developer platforms and operate thousands of Kubernetes clusters.
+- Garden is the central management cluster that runs Gardener components.
+- Seed clusters are intermediary clusters that host Shoot control planes.
+- Shoot clusters are the workload clusters managed by Gardener for end users.
 
-To learn more, visit the Gardener [official website](https://gardener.cloud/) and explore the [documentation](https://gardener.cloud/docs/).
+Organizations use Gardener to build and operate Kubernetes clusters at scale, creating reliable internal developer platforms that serve thousands of teams.
+
+To learn more, visit the [Gardener website](https://gardener.cloud/) and explore the [Gardener documentation](https://gardener.cloud/docs/).
+
+## Summary and what's next
+
+You now understand Google Axion C4A's capabilities as a cost-effective Arm-based platform and how Gardener automates Kubernetes cluster management at scale. Together, these technologies provide a powerful foundation for running enterprise Kubernetes workloads on Arm infrastructure.
+
+In the next sections, you'll provision your Arm-based VM on Google Cloud, install Gardener, and deploy your first clusters. You're ready to get started!