Multi-Cloud Helm Chart Deployment Made Simple

Deploying applications with a Helm chart across multiple cloud providers is no longer complex guesswork. A well-structured multi-cloud platform deployment starts with one immutable definition of your services, stored and versioned, and ends with consistent workloads running in any Kubernetes cluster on AWS, GCP, Azure, or all three at once.

A multi-cloud Helm chart deployment works by keeping your application manifests abstracted from provider-specific configuration. The chart defines the Kubernetes resources. Values files and overlays handle environment-specific values—like load balancer classes, storage types, and secrets. This separation makes the same Helm chart portable across clusters in different clouds.

First, store your Helm charts in a central, private repository. This gives every deployment pipeline the same source of truth. Then, define a values file for each target cloud or cluster. These files override variables without changing the chart’s logic. Use a deployment pipeline—GitHub Actions, GitLab CI, Argo CD, or Flux—to pick the correct values file for the target environment and install the chart directly into the right Kubernetes API.

For security, integrate secret management tools such as HashiCorp Vault or cloud-native secret stores. Reference these secrets in your values files with templates, and never commit sensitive data to source control. For consistency, apply the same CI/CD templates across clouds, so that only the context and credentials change between deployments.

Testing a multi-cloud platform Helm chart deployment is not optional. Spin up ephemeral clusters in each cloud using IaC tools like Terraform or Pulumi, run full end-to-end tests, and destroy them after use. This makes it possible to validate that the exact same Helm chart works everywhere, without drift or provider-specific hacks.

This approach reduces operational risk. It avoids vendor lock-in. It ensures identical workloads no matter where they run, giving teams leverage over costs, latency, and availability.

Run your own multi-cloud Helm chart deployment without the overhead. See how it works in minutes at hoop.dev.