How does this skill help avoid vendor lock-in?

It provides guidance on using cloud-agnostic abstraction layers such as Kubernetes for compute, Terraform for IaC, and S3-compatible APIs for storage.

What architecture patterns are included?

The skill covers four primary patterns: Single Provider with DR, Best-of-Breed, Geographic Distribution, and Cloud-Agnostic Abstraction.

Which cloud providers are covered by this skill?

The skill provides detailed comparisons and architectural patterns for the three major providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Does it include cost optimization advice?

Yes, it includes specific strategies for leveraging spot instances, reserved capacity, and right-sizing resources to reduce spend across different cloud providers.

Multi-Cloud Architecture

Name: Multi-Cloud Architecture
Author: Activer007

byActiver007

云基础设施

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

关于

The Multi-Cloud Architecture skill provides a structured approach to designing and managing workloads across multiple cloud providers. It offers a comprehensive mapping of services for compute, storage, and databases, allowing developers to make informed choices between AWS, Azure, and GCP. By implementing established patterns like 'Best-of-Breed' or 'Geographic Distribution' and leveraging cloud-agnostic tools like Kubernetes and Terraform, this skill helps teams avoid vendor lock-in, optimize infrastructure costs, and ensure high availability through cross-cloud disaster recovery strategies.

主要功能

Multi-cloud design patterns for disaster recovery and geographic distribution
Cost optimization strategies including spot instances and reserved capacity
Comprehensive service comparison matrix for AWS, Azure, and GCP
Cloud-agnostic abstraction guidance using Kubernetes and Terraform
0 GitHub stars
Structured four-phase migration framework for cloud workloads

使用场景

Implementing a vendor-neutral infrastructure stack to prevent long-term lock-in
Designing a high-availability system with disaster recovery in a separate cloud provider
Selecting the most cost-effective or high-performance service for a specific workload

关于

主要功能

Multi-cloud design patterns for disaster recovery and geographic distribution
Cost optimization strategies including spot instances and reserved capacity
Comprehensive service comparison matrix for AWS, Azure, and GCP
Cloud-agnostic abstraction guidance using Kubernetes and Terraform
0 GitHub stars
Structured four-phase migration framework for cloud workloads

使用场景

Implementing a vendor-neutral infrastructure stack to prevent long-term lock-in
Designing a high-availability system with disaster recovery in a separate cloud provider
Selecting the most cost-effective or high-performance service for a specific workload