Multi-Cloud Kubernetes Cluster Provisioner
A tool to automate the creation of Kubernetes clusters across AWS, Azure, and GCP.
Overview
This is a powerful use case for the Automation API where a single program can be used to provision Kubernetes clusters across different cloud providers (like EKS on AWS, AKS on Azure, and GKE on Google Cloud). An organization can use this to build a custom tool or API that allows developers to request a new Kubernetes cluster. The tool, powered by the Automation API, would handle the specific logic for each cloud provider, abstracting the differences away and providing a single, consistent interface for cluster creation.
✨ Key Features
- Provisions Kubernetes clusters on AWS, Azure, and GCP.
- Abstracts away cloud-specific details.
- Can be exposed as a CLI or an API.
- Uses a single language to manage multiple clouds.
- Ensures consistent cluster configuration and setup.
🎯 Key Differentiators
- Uses a general-purpose programming language for maximum flexibility.
- Does not require a separate management cluster or control plane software to be installed.
- Lightweight and can be embedded into any application.
Unique Value: Provides a single, unified, programmatic interface for provisioning and managing Kubernetes clusters across any major cloud provider.
🎯 Use Cases (3)
✅ Best For
- Pulumi's core value proposition and many examples are centered around its ability to manage resources, including Kubernetes clusters, across multiple clouds using a single tool and language.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations that are committed to a single cloud provider.
- Teams that are comfortable using the specific cloud provider's native tools.
🏆 Alternatives
Unlike using separate tools for each cloud (EKSCTL, gcloud, az CLI), this approach provides a consistent workflow and codebase. Compared to heavyweight management platforms like Rancher or Anthos, it's a much more lightweight and customizable solution.
💻 Platforms
🔌 Integrations
💰 Pricing
Free tier: This is a use case pattern. Costs are based on the cloud resources (Kubernetes clusters) provisioned.
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