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- Add 47 Agent Skills across 14 plugins following Anthropic's specification - Python (5): async patterns, testing, packaging, performance, UV package manager - JavaScript/TypeScript (4): advanced types, Node.js patterns, testing, modern JS - Kubernetes (4): manifests, Helm charts, GitOps, security policies - Cloud Infrastructure (4): Terraform, multi-cloud, hybrid networking, cost optimization - CI/CD (4): pipeline design, GitHub Actions, GitLab CI, secrets management - Backend (3): API design, architecture patterns, microservices - LLM Applications (4): LangChain, prompt engineering, RAG, evaluation - Blockchain/Web3 (4): DeFi protocols, NFT standards, Solidity security, Web3 testing - Framework Migration (4): React, Angular, database, dependency upgrades - Observability (4): Prometheus, Grafana, distributed tracing, SLO - Payment Processing (4): Stripe, PayPal, PCI compliance, billing - API Scaffolding (1): FastAPI templates - ML Operations (1): ML pipeline workflow - Security (1): SAST configuration - Restructure documentation into /docs directory - agent-skills.md: Complete guide to all 47 skills - agents.md: All 85 agents with model configuration - plugins.md: Complete catalog of 63 plugins - usage.md: Commands, workflows, and best practices - architecture.md: Design principles and patterns - Update README.md - Add Agent Skills banner announcement - Reduce length by ~75% with links to detailed docs - Add What's New section showcasing Agent Skills - Add Popular Use Cases with real examples - Improve navigation with Core Guides and Quick Links - Update marketplace.json with skills arrays for 14 plugins All 47 skills follow Agent Skills Specification: - Required YAML frontmatter (name, description) - Use when activation clauses - Progressive disclosure architecture - Under 1024 character descriptions
178 lines
4.7 KiB
Markdown
178 lines
4.7 KiB
Markdown
---
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name: multi-cloud-architecture
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description: Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
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---
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# Multi-Cloud Architecture
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Decision framework and patterns for architecting applications across AWS, Azure, and GCP.
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## Purpose
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Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers.
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## When to Use
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- Design multi-cloud strategies
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- Migrate between cloud providers
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- Select cloud services for specific workloads
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- Implement cloud-agnostic architectures
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- Optimize costs across providers
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## Cloud Service Comparison
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### Compute Services
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| AWS | Azure | GCP | Use Case |
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|-----|-------|-----|----------|
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| EC2 | Virtual Machines | Compute Engine | IaaS VMs |
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| ECS | Container Instances | Cloud Run | Containers |
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| EKS | AKS | GKE | Kubernetes |
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| Lambda | Functions | Cloud Functions | Serverless |
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| Fargate | Container Apps | Cloud Run | Managed containers |
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### Storage Services
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| AWS | Azure | GCP | Use Case |
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|-----|-------|-----|----------|
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| S3 | Blob Storage | Cloud Storage | Object storage |
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| EBS | Managed Disks | Persistent Disk | Block storage |
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| EFS | Azure Files | Filestore | File storage |
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| Glacier | Archive Storage | Archive Storage | Cold storage |
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### Database Services
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| AWS | Azure | GCP | Use Case |
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|-----|-------|-----|----------|
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| RDS | SQL Database | Cloud SQL | Managed SQL |
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| DynamoDB | Cosmos DB | Firestore | NoSQL |
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| Aurora | PostgreSQL/MySQL | Cloud Spanner | Distributed SQL |
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| ElastiCache | Cache for Redis | Memorystore | Caching |
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**Reference:** See `references/service-comparison.md` for complete comparison
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## Multi-Cloud Patterns
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### Pattern 1: Single Provider with DR
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- Primary workload in one cloud
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- Disaster recovery in another
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- Database replication across clouds
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- Automated failover
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### Pattern 2: Best-of-Breed
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- Use best service from each provider
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- AI/ML on GCP
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- Enterprise apps on Azure
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- General compute on AWS
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### Pattern 3: Geographic Distribution
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- Serve users from nearest cloud region
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- Data sovereignty compliance
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- Global load balancing
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- Regional failover
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### Pattern 4: Cloud-Agnostic Abstraction
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- Kubernetes for compute
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- PostgreSQL for database
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- S3-compatible storage (MinIO)
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- Open source tools
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## Cloud-Agnostic Architecture
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### Use Cloud-Native Alternatives
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- **Compute:** Kubernetes (EKS/AKS/GKE)
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- **Database:** PostgreSQL/MySQL (RDS/SQL Database/Cloud SQL)
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- **Message Queue:** Apache Kafka (MSK/Event Hubs/Confluent)
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- **Cache:** Redis (ElastiCache/Azure Cache/Memorystore)
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- **Object Storage:** S3-compatible API
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- **Monitoring:** Prometheus/Grafana
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- **Service Mesh:** Istio/Linkerd
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### Abstraction Layers
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```
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Application Layer
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↓
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Infrastructure Abstraction (Terraform)
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↓
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Cloud Provider APIs
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↓
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AWS / Azure / GCP
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```
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## Cost Comparison
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### Compute Pricing Factors
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- **AWS:** On-demand, Reserved, Spot, Savings Plans
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- **Azure:** Pay-as-you-go, Reserved, Spot
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- **GCP:** On-demand, Committed use, Preemptible
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### Cost Optimization Strategies
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1. Use reserved/committed capacity (30-70% savings)
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2. Leverage spot/preemptible instances
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3. Right-size resources
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4. Use serverless for variable workloads
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5. Optimize data transfer costs
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6. Implement lifecycle policies
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7. Use cost allocation tags
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8. Monitor with cloud cost tools
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**Reference:** See `references/multi-cloud-patterns.md`
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## Migration Strategy
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### Phase 1: Assessment
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- Inventory current infrastructure
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- Identify dependencies
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- Assess cloud compatibility
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- Estimate costs
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### Phase 2: Pilot
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- Select pilot workload
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- Implement in target cloud
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- Test thoroughly
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- Document learnings
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### Phase 3: Migration
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- Migrate workloads incrementally
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- Maintain dual-run period
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- Monitor performance
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- Validate functionality
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### Phase 4: Optimization
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- Right-size resources
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- Implement cloud-native services
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- Optimize costs
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- Enhance security
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## Best Practices
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1. **Use infrastructure as code** (Terraform/OpenTofu)
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2. **Implement CI/CD pipelines** for deployments
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3. **Design for failure** across clouds
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4. **Use managed services** when possible
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5. **Implement comprehensive monitoring**
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6. **Automate cost optimization**
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7. **Follow security best practices**
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8. **Document cloud-specific configurations**
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9. **Test disaster recovery** procedures
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10. **Train teams** on multiple clouds
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## Reference Files
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- `references/service-comparison.md` - Complete service comparison
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- `references/multi-cloud-patterns.md` - Architecture patterns
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## Related Skills
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- `terraform-module-library` - For IaC implementation
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- `cost-optimization` - For cost management
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- `hybrid-cloud-networking` - For connectivity
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