How does this skill help prevent vendor lock-in?

It provides specific patterns for cloud-agnostic abstraction, such as using Kubernetes for compute and S3-compatible APIs for storage, allowing you to move workloads between providers with minimal friction.

Which cloud providers are covered in the decision framework?

The skill includes detailed service comparisons and integration strategies for the three major providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Can this skill help reduce my monthly cloud bill?

Yes, it includes a cost optimization section that compares pricing factors like reserved instances and spot pricing across providers to help you place workloads where they are most economical.

What is the recommended approach for cross-cloud networking?

The skill suggests using cloud-agnostic abstraction layers and refers to hybrid-cloud networking patterns to ensure seamless connectivity and data replication between different providers.

Multi-Cloud Architecture

Name: Multi-Cloud Architecture
Author: HermeticOrmus

byHermeticOrmus

Cloud Infrastructure

Designs and implements interoperable architectures across AWS, Azure, and GCP using a structured decision framework for service selection.

About

The Multi-Cloud Architecture skill provides a comprehensive framework for designing applications that leverage the unique strengths of AWS, Azure, and GCP simultaneously. It enables developers to implement high-availability disaster recovery patterns, select best-of-breed services for specific workloads, and build cloud-agnostic systems that prevent vendor lock-in. By utilizing detailed service comparisons and abstraction strategies like Kubernetes and Terraform, this skill helps teams navigate the complexities of heterogeneous cloud environments while optimizing for cost, performance, and regional data sovereignty.

Key Features

Comprehensive service mapping across AWS, Azure, and GCP for compute, storage, and databases
Cloud-agnostic abstraction strategies using open-source tools and S3-compatible APIs
Proven multi-cloud patterns including Disaster Recovery, Best-of-Breed, and Geographic Distribution
Detailed cost optimization framework for managing heterogeneous cloud spend
Four-phase migration strategy for transitioning from single-cloud to multi-cloud environments
0 GitHub stars

Use Cases

Architecting a disaster recovery plan that fails over from AWS to Azure
Migrating monolithic applications to a vendor-neutral, Kubernetes-based infrastructure
Selecting the most cost-effective cloud provider for specific AI/ML or high-compute workloads

About

Key Features

Comprehensive service mapping across AWS, Azure, and GCP for compute, storage, and databases
Cloud-agnostic abstraction strategies using open-source tools and S3-compatible APIs
Proven multi-cloud patterns including Disaster Recovery, Best-of-Breed, and Geographic Distribution
Detailed cost optimization framework for managing heterogeneous cloud spend
Four-phase migration strategy for transitioning from single-cloud to multi-cloud environments
0 GitHub stars

Use Cases

Architecting a disaster recovery plan that fails over from AWS to Azure
Migrating monolithic applications to a vendor-neutral, Kubernetes-based infrastructure
Selecting the most cost-effective cloud provider for specific AI/ML or high-compute workloads