How does this skill help avoid vendor lock-in?

It provides patterns for cloud-agnostic abstraction layers using open-source technologies like Kubernetes, PostgreSQL, and Terraform to ensure workloads can move between providers.

Which cloud providers are supported?

The skill specifically focuses on the 'Big Three' providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Does it include specific cloud service comparisons?

Yes, it includes side-by-side comparisons for compute (EC2/VM/Compute Engine), storage (S3/Blob/Cloud Storage), and databases (RDS/SQL/Cloud SQL) across the major providers.

Can this skill assist with cloud cost management?

Yes, it outlines cost optimization strategies including the use of reserved capacity, spot instances, and right-sizing resources across different cloud billing models.

Multi-Cloud Architecture

Name: Multi-Cloud Architecture
Author: Microck

byMicrock

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Cloud Infrastructure

Architects resilient, cloud-agnostic systems by providing decision frameworks and service comparisons across AWS, Azure, and GCP.

This skill provides a comprehensive framework for designing and implementing applications across multiple cloud providers to ensure high availability and prevent vendor lock-in. It enables developers and architects to make informed decisions by providing detailed service mappings between AWS, Azure, and GCP for compute, storage, and database layers. By leveraging proven multi-cloud patterns—such as best-of-breed integration, geographic distribution, and cloud-agnostic abstraction—this skill guides users through complex migration strategies, cost optimization techniques, and the implementation of portable infrastructure using tools like Kubernetes and Terraform.

Key Features

01Detailed cost optimization strategies across different pricing models

022 GitHub stars

03Multi-cloud disaster recovery and geographic distribution frameworks

04Cross-provider service mapping for AWS, Azure, and GCP

05Cloud-agnostic design patterns using Kubernetes and open-source stacks

06Four-phase migration methodology from assessment to optimization

Use Cases

01Designing high-availability disaster recovery plans across independent cloud providers

02Selecting best-of-breed AI/ML or data services from different vendors for a single application

03Refactoring legacy infrastructure into a portable, cloud-agnostic architecture

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck multi-cloud-architecture

For use in Claude.ai and ChatGPT

Download Skill