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/multi-cloud-architecture

@24df162
by Seth Hobsonwshobson/agents40k stars
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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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referencesservice-comparison.md

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Multi-Cloud Service Comparison

Compute

Use Case AWS Azure GCP OCI
General-purpose VMs EC2 Virtual Machines Compute Engine Compute
Managed Kubernetes EKS AKS GKE OKE
Serverless functions Lambda Functions Cloud Functions Functions
Containers without cluster management ECS/Fargate Container Apps / Container Instances Cloud Run Container Instances

Storage

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

Data Services

Use Case AWS Azure GCP OCI
Managed relational database RDS SQL Database Cloud SQL MySQL HeatWave
Distributed / globally resilient SQL Aurora Global Database Cosmos DB for PostgreSQL / SQL patterns Cloud Spanner Autonomous Database
NoSQL DynamoDB Cosmos DB Firestore NoSQL Database
Streaming Kinesis / MSK Event Hubs Pub/Sub / Confluent Streaming

Platform Selection Notes

  1. Prefer provider-native managed services when team expertise and lock-in tolerance are high.
  2. Prefer Kubernetes, PostgreSQL, Redis, and open observability stacks when portability matters.
  3. Use OCI when Oracle database affinity, predictable networking, or regulated workload isolation are primary drivers.
  4. Compare egress, managed service premiums, and support plans before splitting workloads across providers.

Source: SKILL.md on GitHub

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    The multi-cloud-architecture skill provides architectural guidance and service comparisons for major cloud providers. It contains no executable code, network operations, or security risks.

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Provenance

Signed by skilld at 24df162. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 days ago.

Activeupdated 7 months ago

Topics

  • multi-cloud
  • aws
  • azure
  • gcp
  • oci
  • architecture
  • infrastructure-as-code
  • kubernetes
  • cost-optimization
  • disaster-recovery

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What it does

Provides a decision framework and service comparison tables for architecting applications across AWS, Azure, GCP, and OCI. Covers compute, storage, and database service equivalents; multi-cloud patterns (best-of-breed, geographic distribution, disaster recovery); and cost optimization strategies for avoiding vendor lock-in.

Generated from the current SKILL.md.

Frequently asked

Does this skill cover all four cloud providers equally?
Yes. The skill provides service comparison tables and patterns for AWS, Azure, GCP, and OCI, with equivalent services mapped across each provider.
What's the primary output of using this skill?
A decision framework and architectural patterns for selecting cloud services, choosing between multi-cloud strategies (single provider with DR, best-of-breed, geographic distribution, or cloud-agnostic), and migrating workloads across providers.
Does this skill include infrastructure-as-code templates?
No. The skill documents patterns and best practices but references a separate terraform-module-library skill for IaC implementation.
Can this help me avoid vendor lock-in?
Yes. The skill describes a cloud-agnostic abstraction pattern using Kubernetes, PostgreSQL, S3-compatible storage, and open source tools to minimize provider-specific dependencies.
Does this address cost comparison between clouds?
Yes. The skill includes pricing factors for each provider, cost optimization strategies, and references a cost-optimization skill for deeper cost management.

Generated from the current SKILL.md. These answers refresh after source changes.