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SanketAdlak
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multi-cloud-architecture

Design multi-cloud architectures by comparing services across AWS, Azure, GCP, and OCI.

Updated Apr 23, 2026
Search Tags:#aws#migration#gcp#azure#cloud architecture#multi-cloud#oci
One-click install
npx skills add https://github.com/SanketAdlak/PDMProjectDesign --skill multi-cloud-architecture-sanketadlak
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-cloud-architecture
Source: https://github.com/SanketAdlak/PDMProjectDesign/tree/main/.agents/skills/multi-cloud-architecture
Command: npx skills add https://github.com/SanketAdlak/PDMProjectDesign --skill multi-cloud-architecture-sanketadlak

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Choosing and integrating services across AWS, Azure, GCP, and OCI is complex, and poor decisions lead to vendor lock-in, inflated costs, and fragile architectures. This Skill provides a decision framework, service comparison tables, and proven patterns for designing multi-cloud systems. ## Core Features & Use Cases - Service Comparison Tables: Maps equivalent compute, storage, and database services across AWS, Azure, GCP, and OCI for informed selection. - Multi-Cloud Patterns: Covers single-provider with DR, best-of-breed, geographic distribution, and cloud-agnostic abstraction patterns. - Migration & Cost Guidance: Provides a four-phase migration strategy and cost optimization tactics including reserved capacity and spot instances. - Use Case: When planning a system that runs analytics on GCP while keeping enterprise workloads on Azure, use this Skill to select equivalent services, design failover, and estimate cost trade-offs. ## Quick Start Ask the AI to design a multi-cloud architecture for a web application that uses GCP for machine learning and AWS for general compute with disaster recovery on Azure.

Frequently Asked Questions about multi-cloud-architecture

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a multi-cloud architecture across AWS, Azure, and GCP?▼

Start by selecting a pattern: single provider with DR, best-of-breed, geographic distribution, or cloud-agnostic abstraction. Then map equivalent services using comparison tables and standardize on portable layers like Kubernetes, PostgreSQL, and Terraform.

What are the equivalent services across AWS, Azure, GCP, and OCI?▼

For Kubernetes use EKS, AKS, GKE, or OKE; for object storage use S3, Blob Storage, Cloud Storage, or OCI Object Storage; for managed SQL use RDS, SQL Database, Cloud SQL, or MySQL HeatWave. The references directory contains complete comparison tables.

How do I avoid vendor lock-in when using cloud services?▼

Use cloud-agnostic building blocks: Kubernetes for compute, PostgreSQL for databases, S3-compatible object storage, Redis for caching, and Prometheus/Grafana for monitoring. Manage everything with Terraform or OpenTofu as an infrastructure abstraction layer.

When should I use a multi-cloud strategy versus a single provider?▼

Multi-cloud fits when you need best-of-breed services, data sovereignty across regions, or disaster recovery on a second provider. Single provider is simpler when team expertise is concentrated and lock-in tolerance is high.

How do I migrate workloads from one cloud provider to another?▼

Follow four phases: assess current infrastructure and dependencies, run a pilot workload in the target cloud, migrate incrementally with a dual-run period, then optimize costs and adopt cloud-native services.

What are the cost trade-offs of splitting workloads across cloud providers?▼

Splitting workloads adds egress fees, managed service premiums, and multiple support plans. Offset these with reserved or committed capacity for 30-70% savings, spot instances, right-sizing, and lifecycle policies for storage.

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