multi-cloud-architecture

wshobson/agents · plugins/cloud-infrastructure/skills/multi-cloud-architecture/SKILL.md

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.

DevOps & CloudNo license★ 39156⑂ 4179commit 38e19c2

Install skillView source on GitHub

What this skill does

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 | Managed containers |

Storage Services

| 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 |

Database Services

| 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 |

Reference: See references/service-comparison.md for complete comparison

Multi-Cloud Patterns

Pattern 1: Single Provider with DR

Primary workload in one cloud
Disaster recovery in another
Database replication across clouds
Automated failover

Pattern 2: Best-of-Breed

Use best service from each provider
AI/ML on GCP
Enterprise apps on Azure
Regulated data platforms on OCI
General compute on AWS

Pattern 3: Geographic Distribution

Serve users from nearest cloud region
Data sovereignty compliance
Global load balancing
Regional failover

Pattern 4: Cloud-Agnostic Abstraction

Kubernetes for compute
PostgreSQL for database
S3-compatible storage (MinIO)
Open source tools

Cloud-Agnostic Architecture

Use Cloud-Native Alternatives

Compute: Kubernetes (EKS/AKS/GKE/OKE)
Database: PostgreSQL/MySQL (RDS/SQL Database/Cloud SQL/MySQL HeatWave)
Message Queue: Apache Kafka or managed streaming (MSK/Event Hubs/Confluent/OCI Streaming)
Cache: Redis (ElastiCache/Azure Cache/Memorystore/OCI Cache)
Object Storage: S3-compatible API
Monitoring: Prometheus/Grafana
Service Mesh: Istio/Linkerd

Abstraction Layers

Application Layer
    ↓
Infrastructure Abstraction (Terraform)
    ↓
Cloud Provider APIs
    ↓
AWS / Azure / GCP / OCI

Cost Comparison

Compute Pricing Factors

AWS: On-demand, Reserved, Spot, Savings Plans
Azure: Pay-as-you-go, Reserved, Spot
GCP: On-demand, Committed use, Preemptible
OCI: Pay-as-you-go, annual commitments, burstable/flexible shapes, preemptible instances

Cost Optimization Strategies

Use reserved/committed capacity (30-70% savings)
Leverage spot/preemptible instances
Right-size resources
Use serverless for variable workloads
Optimize data transfer costs
Implement lifecycle policies
Use cost allocation tags
Monitor with cloud cost tools

Reference: See references/multi-cloud-patterns.md

Migration Strategy

Phase 1: Assessment

Inventory current infrastructure
Identify dependencies
Assess cloud compatibility
Estimate costs

Phase 2: Pilot

Select pilot workload
Implement in target cloud
Test thoroughly
Document learnings

Phase 3: Migration

Migrate workloads incrementally
Maintain dual-run period
Monitor performance
Validate functionality

Phase 4: Optimization

Right-size resources
Implement cloud-native services
Optimize costs
Enhance security

Best Practices

Use infrastructure as code (Terraform/OpenTofu)
Implement CI/CD pipelines for deployments
Design for failure across clouds
Use managed services when possible
Implement comprehensive monitoring
Automate cost optimization
Follow security best practices
Document cloud-specific configurations
Test disaster recovery procedures
Train teams on multiple clouds

Related Skills

terraform-module-library - For IaC implementation
cost-optimization - For cost management
hybrid-cloud-networking - For connectivity

Installation

Copy a source-pinned command for your client. You run it yourself.

Destination: .claude/skills/multi-cloud-architecture · pinned to the source commit

# Run from your project root
git clone https://github.com/wshobson/agents.git .skillboard-tmp
git -C .skillboard-tmp checkout 38e19c20d2b154510b0e624a2e3e186b19b5c527
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/plugins/cloud-infrastructure/skills/multi-cloud-architecture" ".claude/skills/"
rm -rf .skillboard-tmp

Review the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.

New here? Step-by-step setup – from installing the agent to using the skill

Operating systemAgentI already use Claude Code

1
Install Git
Install Git with your package manager (Debian/Ubuntu shown; use dnf/pacman on others). Official download.
```
sudo apt update && sudo apt install -y git
```
2
Install Claude Code
Requires Node.js 18+. Install the CLI globally: Official docs. (command-line tool)
```
npm install -g @anthropic-ai/claude-code
```

Get the skill, pinned to its exact version

Open a terminal and run these steps (they clone the source, check out the exact commit, and copy the skill into place):

# Run from your project root
git clone https://github.com/wshobson/agents.git .skillboard-tmp
git -C .skillboard-tmp checkout 38e19c20d2b154510b0e624a2e3e186b19b5c527
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/plugins/cloud-infrastructure/skills/multi-cloud-architecture" ".claude/skills/"
rm -rf .skillboard-tmp

Destination: .claude/skills/multi-cloud-architecture

4
Use it in Claude Code
Open Claude Code in your project. It reads skills from the folder above, so multi-cloud-architecture is now available. Always review the source before using it – static checks cannot prove runtime safety.

Security & Audits

Scanner static-checks@0.1.0 · commit 38e19c20d2b1. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.

No static rules matched. This is not a safety guarantee.

multi-cloud-architecture

wshobson/agents · plugins/cloud-infrastructure/skills/multi-cloud-architecture/SKILL.md

DevOps & CloudNo license★ 39156⑂ 4179commit 38e19c2

Install skillView source on GitHub

What this skill does

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

Storage Services

Database Services

Reference: See references/service-comparison.md for complete comparison

Multi-Cloud Patterns

Pattern 1: Single Provider with DR

Primary workload in one cloud
Disaster recovery in another
Database replication across clouds
Automated failover

Pattern 2: Best-of-Breed

Use best service from each provider
AI/ML on GCP
Enterprise apps on Azure
Regulated data platforms on OCI
General compute on AWS

Pattern 3: Geographic Distribution

Serve users from nearest cloud region
Data sovereignty compliance
Global load balancing
Regional failover

Pattern 4: Cloud-Agnostic Abstraction

Kubernetes for compute
PostgreSQL for database
S3-compatible storage (MinIO)
Open source tools

Cloud-Agnostic Architecture

Use Cloud-Native Alternatives

Compute: Kubernetes (EKS/AKS/GKE/OKE)
Database: PostgreSQL/MySQL (RDS/SQL Database/Cloud SQL/MySQL HeatWave)
Message Queue: Apache Kafka or managed streaming (MSK/Event Hubs/Confluent/OCI Streaming)
Cache: Redis (ElastiCache/Azure Cache/Memorystore/OCI Cache)
Object Storage: S3-compatible API
Monitoring: Prometheus/Grafana
Service Mesh: Istio/Linkerd

Abstraction Layers

Application Layer
    ↓
Infrastructure Abstraction (Terraform)
    ↓
Cloud Provider APIs
    ↓
AWS / Azure / GCP / OCI

Cost Comparison

Compute Pricing Factors

AWS: On-demand, Reserved, Spot, Savings Plans
Azure: Pay-as-you-go, Reserved, Spot
GCP: On-demand, Committed use, Preemptible
OCI: Pay-as-you-go, annual commitments, burstable/flexible shapes, preemptible instances

Cost Optimization Strategies

Use reserved/committed capacity (30-70% savings)
Leverage spot/preemptible instances
Right-size resources
Use serverless for variable workloads
Optimize data transfer costs
Implement lifecycle policies
Use cost allocation tags
Monitor with cloud cost tools

Reference: See references/multi-cloud-patterns.md

Migration Strategy

Phase 1: Assessment

Inventory current infrastructure
Identify dependencies
Assess cloud compatibility
Estimate costs

Phase 2: Pilot

Select pilot workload
Implement in target cloud
Test thoroughly
Document learnings

Phase 3: Migration

Migrate workloads incrementally
Maintain dual-run period
Monitor performance
Validate functionality

Phase 4: Optimization

Right-size resources
Implement cloud-native services
Optimize costs
Enhance security

Best Practices

Use infrastructure as code (Terraform/OpenTofu)
Implement CI/CD pipelines for deployments
Design for failure across clouds
Use managed services when possible
Implement comprehensive monitoring
Automate cost optimization
Follow security best practices
Document cloud-specific configurations
Test disaster recovery procedures
Train teams on multiple clouds

Related Skills

terraform-module-library - For IaC implementation
cost-optimization - For cost management
hybrid-cloud-networking - For connectivity

Installation

Copy a source-pinned command for your client. You run it yourself.

Destination: .claude/skills/multi-cloud-architecture · pinned to the source commit

# Run from your project root
git clone https://github.com/wshobson/agents.git .skillboard-tmp
git -C .skillboard-tmp checkout 38e19c20d2b154510b0e624a2e3e186b19b5c527
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/plugins/cloud-infrastructure/skills/multi-cloud-architecture" ".claude/skills/"
rm -rf .skillboard-tmp

Review the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.

New here? Step-by-step setup – from installing the agent to using the skill

Operating systemAgentI already use Claude Code

1
Install Git
Install Git with your package manager (Debian/Ubuntu shown; use dnf/pacman on others). Official download.
```
sudo apt update && sudo apt install -y git
```
2
Install Claude Code
Requires Node.js 18+. Install the CLI globally: Official docs. (command-line tool)
```
npm install -g @anthropic-ai/claude-code
```

Get the skill, pinned to its exact version

Open a terminal and run these steps (they clone the source, check out the exact commit, and copy the skill into place):

# Run from your project root
git clone https://github.com/wshobson/agents.git .skillboard-tmp
git -C .skillboard-tmp checkout 38e19c20d2b154510b0e624a2e3e186b19b5c527
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/plugins/cloud-infrastructure/skills/multi-cloud-architecture" ".claude/skills/"
rm -rf .skillboard-tmp

Destination: .claude/skills/multi-cloud-architecture

4
Use it in Claude Code
Open Claude Code in your project. It reads skills from the folder above, so multi-cloud-architecture is now available. Always review the source before using it – static checks cannot prove runtime safety.

Security & Audits

Scanner static-checks@0.1.0 · commit 38e19c20d2b1. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.

No static rules matched. This is not a safety guarantee.

multi-cloud-architecture

What this skill does

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

Installation

Install Git

Install Claude Code

Get the skill, pinned to its exact version

Use it in Claude Code

Security & Audits

multi-cloud-architecture

What this skill does

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

Installation

Install Git

Install Claude Code

Get the skill, pinned to its exact version

Use it in Claude Code

Security & Audits