How does this skill help with vendor lock-in?

It provides patterns for cloud-agnostic abstractions, such as using Kubernetes, PostgreSQL, and S3-compatible APIs, allowing you to switch providers with minimal friction.

What architectural patterns are included?

It covers several key patterns including Single Provider with DR, Best-of-Breed integration, Geographic Distribution, and Cloud-Agnostic Abstraction.

Does this skill assist with cost management?

Yes, it includes cost comparison factors and optimization strategies like leveraging spot instances, reserved capacity, and right-sizing resources.

Can I compare specific services between AWS, Azure, and GCP?

Yes, the skill includes a detailed comparison matrix for compute, storage, and database services across the three major providers.

Multi-Cloud Architecture Design

Name: Multi-Cloud Architecture Design
Author: Activer007

byActiver007

Cloud Infrastructure

Provides a comprehensive framework for selecting, integrating, and architecting services across AWS, Azure, and Google Cloud Platform.

About

The Multi-Cloud Architecture skill empowers developers and architects to design resilient, cloud-agnostic systems by leveraging a robust decision framework. It offers detailed service comparisons between AWS, Azure, and GCP, alongside proven architectural patterns like Disaster Recovery, Best-of-Breed integration, and Geographic Distribution. By utilizing this skill, users can effectively avoid vendor lock-in, optimize infrastructure costs, and implement strategic migration plans across the major cloud providers using modern tools like Kubernetes and Terraform.

Key Features

Multi-cloud architectural pattern library including DR and Best-of-Breed
Phased migration strategy and assessment workflows
0 GitHub stars
Cloud-agnostic implementation strategies using open-source tools
Cross-provider service mapping for AWS, Azure, and GCP
Comprehensive cost optimization and comparison frameworks

Use Cases

Designing a disaster recovery strategy across multiple cloud providers
Selecting the most cost-effective compute and storage services for global workloads
Implementing a cloud-agnostic infrastructure layer using Kubernetes and Terraform

About

Key Features

Multi-cloud architectural pattern library including DR and Best-of-Breed
Phased migration strategy and assessment workflows
0 GitHub stars
Cloud-agnostic implementation strategies using open-source tools
Cross-provider service mapping for AWS, Azure, and GCP
Comprehensive cost optimization and comparison frameworks

Use Cases

Designing a disaster recovery strategy across multiple cloud providers
Selecting the most cost-effective compute and storage services for global workloads
Implementing a cloud-agnostic infrastructure layer using Kubernetes and Terraform