Your organization is moving 15 micro-services to Google Kubernetes Engine. The platform team wants an infrastructure-as-code workflow that lets them
keep Kubernetes manifests in Git under one directory per service,
reuse a common set of templates and labels across services,
pass different values when deploying to dev, staging, and prod, and
be able to upgrade or roll back a single service to a previous revision without affecting the others. Which tooling choice best satisfies these requirements while requiring the least custom code?
Package each micro-service as a Helm chart and use helm upgrade --install with environment-specific values files.
Enable Config Connector in the clusters and commit resource YAMLs that will be reconciled automatically.
Store raw YAML in Git and use Kustomize overlays plus kubectl apply to select the desired environment.
Define every Kubernetes object in Terraform and run terraform apply from the CI/CD pipeline for each environment.
Helm packages Kubernetes manifests into versioned charts that accept parameter files (values.yaml) for each environment. Each helm install or helm upgrade --install command creates a distinct release, and Helm stores release history in Kubernetes Secrets by default. You can therefore issue helm rollback to revert a single micro-service without touching any other release.
Kustomize supports overlays and parameterization but does not record release history or provide built-in rollback. Terraform and Config Connector manage Kubernetes resources through the API but lack per-service release tracking and chart-level templating. Helm uniquely meets all stated requirements with minimal additional code.
Ask Bash
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What is a Helm Chart, and why is it suitable for managing Kubernetes microservices?
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How does Helm handle rollbacks for Kubernetes applications?
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Why is Helm preferred over alternatives like Kustomize, Terraform, or Config Connector for this use case?
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What is Helm in Kubernetes?
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How does Helm enable rollbacks for microservices?
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Why is Helm preferred over Kustomize and Terraform for this workflow?
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GCP Associate Cloud Engineer
Planning and implementing a cloud solution
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