How does this skill help prevent vendor lock-in?

It provides detailed patterns for cloud-agnostic abstraction layers and identifies equivalent services across major providers, enabling easier workload portability.

Which cloud providers are included in the comparisons?

The skill specifically focuses on comparing and integrating services between Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Does it support cost management across clouds?

Yes, it includes a cost comparison framework and specific optimization strategies for reserved instances, spot instances, and serverless workloads across AWS, Azure, and GCP.

Can this skill help with infrastructure as code?

Absolutely. It integrates best practices for using tools like Terraform and OpenTofu to manage cross-cloud infrastructure via standard abstraction layers.

Multi-Cloud Architecture Design

Name: Multi-Cloud Architecture Design
Author: HermeticOrmus

byHermeticOrmus

Cloud Infrastructure

Architects resilient, cloud-agnostic systems using a comprehensive decision framework across AWS, Azure, and GCP.

About

The Multi-Cloud Architecture skill empowers developers to design and manage complex infrastructures by providing a structured framework for comparing and integrating services from AWS, Azure, and Google Cloud Platform. It offers side-by-side service mappings for compute, storage, and databases, alongside proven architectural patterns such as disaster recovery across providers and best-of-breed service selection. This skill is essential for teams looking to avoid vendor lock-in, optimize cloud spend through comparative pricing, and implement robust abstraction layers using industry standards like Kubernetes and Terraform.

Key Features

Cross-provider service mapping for AWS, Azure, and GCP
Pre-defined multi-cloud patterns including DR and best-of-breed
Cloud-agnostic abstraction guidance for compute, storage, and networking
Detailed cost optimization strategies across different cloud billing models
0 GitHub stars
Four-phase migration framework from assessment to optimization

Use Cases

Designing a high-availability disaster recovery plan spanning multiple cloud regions
Selecting and integrating the best specialized services from different providers, such as AI from GCP and enterprise apps from Azure
Migrating existing workloads to a cloud-agnostic infrastructure to reduce vendor dependency

About

Key Features

Cross-provider service mapping for AWS, Azure, and GCP
Pre-defined multi-cloud patterns including DR and best-of-breed
Cloud-agnostic abstraction guidance for compute, storage, and networking
Detailed cost optimization strategies across different cloud billing models
0 GitHub stars
Four-phase migration framework from assessment to optimization

Use Cases

Designing a high-availability disaster recovery plan spanning multiple cloud regions
Selecting and integrating the best specialized services from different providers, such as AI from GCP and enterprise apps from Azure
Migrating existing workloads to a cloud-agnostic infrastructure to reduce vendor dependency