What architectural patterns are included?

It covers four primary patterns: Single Provider with DR, Best-of-Breed integration, Geographic Distribution for compliance, and Cloud-Agnostic Abstraction.

How does this skill help avoid vendor lock-in?

It provides patterns for cloud-agnostic abstractions using tools like Kubernetes, PostgreSQL, and Terraform to ensure infrastructure portability.

Can it help with cloud cost management?

Yes, it includes specific strategies for optimizing costs across providers, including reserved capacity, spot instance usage, and right-sizing resources.

Does this skill support Infrastructure as Code (IaC)?

Yes, it promotes the use of Terraform or OpenTofu as the primary abstraction layer for managing multi-cloud resource deployments.

Which cloud providers are supported by this skill?

This skill focuses on the three major providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Multi-Cloud Architecture Design

Name: Multi-Cloud Architecture Design
Author: as4584

byas4584

Cloud Infrastructure

Architects and integrates resilient distributed systems across AWS, Azure, and Google Cloud Platform using a decision-oriented framework.

About

This skill provides a comprehensive framework for designing resilient, cloud-agnostic architectures by comparing services across major providers like AWS, Azure, and GCP. It enables developers to implement diverse multi-cloud strategies—including disaster recovery, best-of-breed service selection, and geographic distribution—while mitigating vendor lock-in through abstraction layers like Kubernetes and Terraform. Whether you are migrating workloads, optimizing costs, or building global systems, this skill offers the patterns and decision logic needed to build robust, interoperable infrastructure tailored to specific business needs.

Key Features

0 GitHub stars
Cloud-agnostic implementation guides using Kubernetes and abstraction layers
Cross-provider service mapping for compute, storage, and database comparisons
Cost optimization frameworks for reserved, spot, and savings plan management
Strategic multi-cloud patterns including DR and best-of-breed service selection
Structured four-phase migration strategy from assessment to optimization

Use Cases

Designing high-availability systems with cross-cloud disaster recovery failover
Migrating enterprise workloads between AWS, Azure, and GCP environments
Architecting cloud-neutral applications to mitigate long-term vendor lock-in

About

Key Features

0 GitHub stars
Cloud-agnostic implementation guides using Kubernetes and abstraction layers
Cross-provider service mapping for compute, storage, and database comparisons
Cost optimization frameworks for reserved, spot, and savings plan management
Strategic multi-cloud patterns including DR and best-of-breed service selection
Structured four-phase migration strategy from assessment to optimization

Use Cases

Designing high-availability systems with cross-cloud disaster recovery failover
Migrating enterprise workloads between AWS, Azure, and GCP environments
Architecting cloud-neutral applications to mitigate long-term vendor lock-in