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/multi-cloud-architecture

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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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referencesmulti-cloud-patterns.md

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Multi-Cloud Architecture Patterns

Active-Active Regional Split

Run customer-facing services in two providers for resiliency
Use global DNS and traffic steering to shift load during incidents
Keep shared data replicated asynchronously unless low-latency writes are mandatory

Best-of-Breed Service Mix

Analytics and ML on GCP
Enterprise identity and Microsoft workloads on Azure
Broad ecosystem integrations on AWS
Oracle-centric databases and regulated transaction systems on OCI

Primary / DR Pairing

Keep primary infrastructure in the provider closest to operational expertise
Use a second provider for cold or warm disaster recovery
Validate RPO/RTO assumptions with regular failover exercises

Portable Platform Baseline

Standardize on Kubernetes, Terraform/OpenTofu, PostgreSQL, Redis, and OpenTelemetry
Abstract cloud differences behind modules, golden paths, and service catalogs
Document provider-specific exceptions such as IAM, networking, and managed database behavior

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

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.