Which cloud providers are covered in the comparisons?

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

How does this skill help with vendor lock-in?

It provides specific patterns for cloud-agnostic abstractions using tools like Kubernetes, PostgreSQL, and S3-compatible APIs, ensuring your application remains portable across different cloud providers.

Does it include cost-saving strategies?

Yes, it includes frameworks for comparing pricing models, such as AWS Savings Plans vs. Azure Reserved Instances vs. GCP Committed Use, along with spot instance optimization.

Can this skill help me migrate from one cloud to another?

Absolutely. It defines a structured four-phase migration strategy (Assessment, Pilot, Migration, and Optimization) to ensure a safe and efficient transition between environments.

Multi-Cloud Architecture Architect

Name: Multi-Cloud Architecture Architect
Author: yusoofsh

byyusoofsh

Cloud Infrastructure

Designs robust multi-cloud systems by integrating services across AWS, Azure, and GCP while avoiding vendor lock-in.

About

This skill provides a comprehensive decision framework for architecting applications across major cloud providers including AWS, Azure, and Google Cloud Platform. It empowers developers to select best-of-breed services, implement high-availability disaster recovery patterns, and optimize infrastructure costs through cloud-agnostic abstractions and comparative service mapping. Whether you are migrating existing workloads or building a geographically distributed system from scratch, this skill offers the structured patterns and migration strategies needed to maintain flexibility and scalability in a complex multi-cloud environment.

Key Features

Comparative service mapping for compute, storage, and database across AWS, Azure, and GCP
Multi-cloud cost optimization frameworks including spot and reserved instance strategies
0 GitHub stars
Cloud-agnostic abstraction strategies using Kubernetes and open-source alternatives
Architectural patterns for disaster recovery, best-of-breed integration, and geographic distribution
Four-phase migration methodology from initial assessment to cloud-native optimization

Use Cases

Selecting the most cost-effective or performant cloud services for specific workload types
Designing high-availability disaster recovery strategies that span multiple cloud providers
Implementing cloud-agnostic infrastructure to prevent vendor lock-in and simplify migrations

About

Key Features

Comparative service mapping for compute, storage, and database across AWS, Azure, and GCP
Multi-cloud cost optimization frameworks including spot and reserved instance strategies
0 GitHub stars
Cloud-agnostic abstraction strategies using Kubernetes and open-source alternatives
Architectural patterns for disaster recovery, best-of-breed integration, and geographic distribution
Four-phase migration methodology from initial assessment to cloud-native optimization

Use Cases

Selecting the most cost-effective or performant cloud services for specific workload types
Designing high-availability disaster recovery strategies that span multiple cloud providers
Implementing cloud-agnostic infrastructure to prevent vendor lock-in and simplify migrations