Install and validate Helm on Google Cloud C4A Arm-based VMs
Introduction
Get started with Helm on Google Axion C4A (Arm-based)
Create a Google Axion C4A virtual machine on Google Cloud
Install Helm
Validate Helm workflows on a Google Axion C4A virtual machine
Prepare a GKE cluster for Helm deployments
PostgreSQL Deployment Using Custom Helm Chart
Deploy Redis on GKE
Deploy NGINX with public access
Benchmark Helm concurrency on a Google Axion C4A virtual machine
Next Steps

  Log an issue

  Fork and edit

  Discuss on Discord

About this Learning Path

Skill level:  Introductory
Reading time:  1 hr
Last updated:  31 Jul 2026
Skill level:
  Introductory
Reading time:
  1 hr
Last updated:
  31 Jul 2026
Author:Pareena Verma, Arm
Arm IP:Neoverse
Tags: Containers and Virtualization Google Cloud Linux Helm Kubernetes kubectl GKE PostgreSQL Redis NGINX
Author:
  • Pareena Verma, Arm
Arm IP:
Neoverse
Tags:
Containers and Virtualization Google Cloud Linux Helm Kubernetes kubectl GKE PostgreSQL Redis NGINX

Who is this for?

This is an introductory topic intended for developers who want to get hands-on experience using Helm on Linux Arm64 systems, specifically Google Cloud C4A virtual machines powered by Axion processors.

What will you learn?

Upon completion of this Learning Path, you will be able to:

  • Provision an Arm-based SUSE Linux Enterprise Server (SLES) virtual machine on Google Cloud (C4A with Axion processors)
  • Install and configure Helm and kubectl on a SUSE Arm64 (C4A) instance
  • Create and connect to a Google Kubernetes Engine (GKE) cluster running on Arm-based nodes
  • Deploy PostgreSQL, Redis, and NGINX on GKE using official Helm charts
  • Validate Helm workflows by performing install, upgrade, rollback, and uninstall operations
  • Verify application readiness and service access for PostgreSQL, Redis, and NGINX on GKE
  • Observe Helm behavior under concurrent CLI operations on an Arm64-based Kubernetes cluster

Prerequisites

Before starting, you will need the following:

Next