moai-domain-cloud

Multi-cloud architecture balances workloads and vendor dependencies across platforms. This Skill provides unified deployment patterns, infrastructure-as-code templates in Terraform and Pulumi, and production-ready patterns for serverless functions, containers, databases, and security controls across all three cloud providers.

Yes. Terraform unifies infrastructure-as-code for both serverless compute—Lambda, Cloud Run, Azure Functions—and container orchestration like Kubernetes and ECS. This Skill covers deploying mixed workloads with shared IaC, cost optimization, and disaster recovery across multi-cloud environments.

Use Terraform or Pulumi to codify infrastructure across AWS, GCP, and Azure simultaneously. This approach enforces consistency, enables version control, automates provisioning of serverless and containerized systems, applies security patterns, and simplifies disaster recovery in production environments.

Kubernetes manages containerized workloads independently; Lambda and Cloud Run are managed serverless alternatives. This Skill covers when to use each—Kubernetes for complex orchestration, serverless for simpler event-driven functions—and how to mix them in multi-cloud setups with unified IaC and observability.

Multi-cloud cost optimization involves right-sizing compute instances, choosing serverless over always-on containers where appropriate, and leveraging provider-specific pricing models. This Skill provides cost optimization patterns, infrastructure-as-code best practices, and architecture trade-offs for AWS, GCP, and Azure deployments.

Production security across clouds requires identity and access control, encrypted data in transit and at rest, network segmentation, and compliance automation. This Skill delivers security patterns, infrastructure-as-code implementations, and observability controls for serverless, containerized, and database workloads in multi-cloud production environments.