Which cloud providers are supported by this skill?

The skill provides detailed comparison frameworks and architectural patterns for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

How does this help avoid vendor lock-in?

It provides patterns for cloud-agnostic abstractions using tools like Kubernetes for compute, PostgreSQL for databases, and S3-compatible APIs for storage.

Can this skill assist with cloud cost management?

Yes, it includes specific strategies for cost optimization, including comparisons of reserved instances, spot pricing, and right-sizing across different providers.

Does it provide a framework for cloud migration?

Yes, it follows a four-phase migration strategy: Assessment, Pilot, Migration, and Optimization, ensuring a structured approach to moving workloads.

Multi-Cloud Architecture

Name: Multi-Cloud Architecture
Author: HermeticOrmus

byHermeticOrmus

Cloud Infrastructure

Architects resilient and vendor-neutral systems by selecting and integrating services across AWS, Azure, and GCP.

About

This skill provides a comprehensive decision framework for designing and implementing multi-cloud strategies. It enables users to map services across major providers, implement cloud-agnostic patterns using tools like Kubernetes and Terraform, and execute migration strategies while avoiding vendor lock-in. It is particularly useful for building disaster recovery systems, leveraging best-of-breed services from different providers, and optimizing infrastructure costs globally.

Key Features

Multi-cloud cost optimization and pricing comparison strategies
Cross-provider service comparison for AWS, Azure, and GCP
Disaster recovery and geographic distribution frameworks
Structured four-phase migration planning (Assessment to Optimization)
0 GitHub stars
Cloud-agnostic architecture patterns using Kubernetes and Terraform

Use Cases

Designing a high-availability system with cross-cloud disaster recovery
Migrating legacy infrastructure to a cloud-agnostic modern stack
Selecting best-of-breed services like GCP AI and AWS Compute for a single workload

About

Key Features

Multi-cloud cost optimization and pricing comparison strategies
Cross-provider service comparison for AWS, Azure, and GCP
Disaster recovery and geographic distribution frameworks
Structured four-phase migration planning (Assessment to Optimization)
0 GitHub stars
Cloud-agnostic architecture patterns using Kubernetes and Terraform

Use Cases

Designing a high-availability system with cross-cloud disaster recovery
Migrating legacy infrastructure to a cloud-agnostic modern stack
Selecting best-of-breed services like GCP AI and AWS Compute for a single workload