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Multi Cloud Architecture

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.

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SKILL.md

multi-cloud-architecture

Multi-Cloud Architecture

Decision framework and patterns for architecting applications across AWS, Azure, GCP, and OCI.

Purpose

Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers.

When to Use

Design multi-cloud strategies
Migrate between cloud providers
Select cloud services for specific workloads
Implement cloud-agnostic architectures
Optimize costs across providers

Cloud Service Comparison

Compute Services

AWS	Azure	GCP	OCI	Use Case
EC2	Virtual Machines	Compute Engine	Compute	IaaS VMs
ECS	Container Instances	Cloud Run	Container Instances	Containers
EKS	AKS	GKE	OKE	Kubernetes
Lambda	Functions	Cloud Functions	Functions	Serverless
Fargate	Container Apps	Cloud Run	Container Instances

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AWS	Azure	GCP	OCI	Use Case
S3	Blob Storage	Cloud Storage	Object Storage	Object storage
EBS	Managed Disks	Persistent Disk	Block Volumes	Block storage
EFS	Azure Files	Filestore	File Storage	File storage
Glacier	Archive Storage	Archive Storage	Archive Storage	Cold storage

AWS	Azure	GCP	OCI	Use Case
RDS	SQL Database	Cloud SQL	MySQL HeatWave	Managed SQL
DynamoDB	Cosmos DB	Firestore	NoSQL Database	NoSQL
Aurora	PostgreSQL/MySQL	Cloud Spanner	Autonomous Database	Distributed SQL
ElastiCache	Cache for Redis	Memorystore	OCI Cache	Caching

Multi Cloud Architecture

Multi-Cloud Architecture

Purpose

When to Use

Cloud Service Comparison

Compute Services

Storage Services

Database Services

Multi-Cloud Patterns

Pattern 1: Single Provider with DR

Pattern 2: Best-of-Breed

Pattern 3: Geographic Distribution

Pattern 4: Cloud-Agnostic Abstraction

Cloud-Agnostic Architecture

Use Cloud-Native Alternatives

Abstraction Layers

Cost Comparison

Compute Pricing Factors

Cost Optimization Strategies

Migration Strategy

Phase 1: Assessment

Phase 2: Pilot

Phase 3: Migration

Phase 4: Optimization

Best Practices

Related Skills