Which cloud providers are covered in the comparison?

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

Can I use this for migrating between cloud providers?

Absolutely. The skill includes a four-phase migration strategy covering assessment, pilot, full migration, and post-migration optimization.

How does it support infrastructure as code (IaC)?

It promotes using cloud-agnostic tools like Terraform and OpenTofu as part of an abstraction layer for managing multi-cloud environments.

Does this skill help with cloud cost management?

Yes, it includes detailed cost optimization strategies, comparing pricing factors for compute and offering tips for reserved capacity and spot instances.

What is the primary benefit of the Multi-Cloud Architecture skill?

It provides a structured framework to select and integrate services across multiple providers, helping you avoid vendor lock-in and optimize costs.

Multi-Cloud Architecture Architect

Name: Multi-Cloud Architecture Architect
Author: pur3v4d3r

bypur3v4d3r

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Cloud Infrastructure

Design and implement cloud-agnostic architectures across AWS, Azure, and GCP using a standardized decision framework.

About

This skill provides a comprehensive framework for architecting applications across multiple cloud providers, including AWS, Azure, and GCP. It helps developers and architects navigate service selection, prevent vendor lock-in, and implement best-of-breed solutions by comparing compute, storage, and database offerings. By leveraging established multi-cloud patterns and migration strategies, the skill ensures optimized cost management, geographic distribution, and resilient disaster recovery across diverse cloud environments.

Key Features

Comprehensive service comparison matrices across AWS, Azure, and GCP
Detailed cost optimization and right-sizing strategies for multi-cloud
1 GitHub stars
Framework for cloud-agnostic abstraction using Kubernetes and Terraform
Step-by-step multi-cloud migration strategies and assessment phases
Pre-defined patterns for disaster recovery and best-of-breed integration

Use Cases

Designing high-availability disaster recovery plans across different cloud providers
Migrating existing single-cloud applications to a cloud-agnostic architecture to avoid lock-in
Selecting the best-of-breed managed services for specific workloads like AI or enterprise apps

About

Key Features

Comprehensive service comparison matrices across AWS, Azure, and GCP
Detailed cost optimization and right-sizing strategies for multi-cloud
1 GitHub stars
Framework for cloud-agnostic abstraction using Kubernetes and Terraform
Step-by-step multi-cloud migration strategies and assessment phases
Pre-defined patterns for disaster recovery and best-of-breed integration

Use Cases

Designing high-availability disaster recovery plans across different cloud providers
Migrating existing single-cloud applications to a cloud-agnostic architecture to avoid lock-in
Selecting the best-of-breed managed services for specific workloads like AI or enterprise apps