How does this skill help avoid vendor lock-in?

It emphasizes cloud-agnostic abstraction layers, such as using Kubernetes for compute and S3-compatible APIs for storage, ensuring your application remains portable across different environments.

Can this skill assist with cloud cost management?

Yes, it includes specific optimization strategies like right-sizing resources, leveraging spot/preemptible instances, and implementing lifecycle policies tailored to different provider pricing models.

What cloud providers does this skill cover?

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

Is this skill useful for disaster recovery planning?

Absolutely. It outlines patterns for primary-secondary cloud setups with automated failover and database replication to ensure business continuity across independent cloud infrastructures.

Multi-Cloud Architecture Design

Name: Multi-Cloud Architecture Design
Author: Activer007

byActiver007

Infraestructura en la Nube

Designs vendor-neutral cloud architectures by selecting and integrating optimal services across AWS, Azure, and Google Cloud Platform.

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This skill provides a comprehensive decision framework and implementation patterns for building robust applications across multiple cloud providers. It assists developers and architects in comparing core services—including Compute, Storage, and Databases—between AWS, Azure, and GCP, while offering structured strategies for disaster recovery, best-of-breed integration, and geographic distribution. By leveraging cloud-agnostic abstraction layers and cost-optimization techniques, it helps teams avoid vendor lock-in and optimize their infrastructure for performance, reliability, and budget.

Características Principales

Guidance on cloud-agnostic abstraction using Kubernetes and open-source tools
0 GitHub stars
Cross-provider service mapping for AWS, Azure, and GCP core services
Multi-cloud architectural patterns including disaster recovery and geo-distribution
Strategic frameworks for cross-cloud migration and infrastructure assessment
Cost optimization strategies comparing reserved capacity and spot instance models

Casos de Uso

Architecting a best-of-breed system that leverages specific strengths of different cloud vendors
Designing a high-availability disaster recovery strategy with workloads distributed across multiple clouds
Migrating existing infrastructure between providers while maintaining service parity

Acerca de

Características Principales

Guidance on cloud-agnostic abstraction using Kubernetes and open-source tools
0 GitHub stars
Cross-provider service mapping for AWS, Azure, and GCP core services
Multi-cloud architectural patterns including disaster recovery and geo-distribution
Strategic frameworks for cross-cloud migration and infrastructure assessment
Cost optimization strategies comparing reserved capacity and spot instance models

Casos de Uso

Architecting a best-of-breed system that leverages specific strengths of different cloud vendors
Designing a high-availability disaster recovery strategy with workloads distributed across multiple clouds
Migrating existing infrastructure between providers while maintaining service parity