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.
67
48%
Does it follow best practices?
Impact
99%
1.07xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/cloud-infrastructure/skills/multi-cloud-architecture/SKILL.mdCloud-agnostic technology selection
Kubernetes orchestration
100%
100%
PostgreSQL or MySQL database
100%
100%
Apache Kafka for messaging
100%
100%
Redis for caching
100%
100%
S3-compatible object storage
100%
100%
Prometheus and Grafana monitoring
100%
100%
Istio or Linkerd service mesh
100%
100%
Terraform or OpenTofu IaC
100%
100%
Managed Kafka service named
100%
100%
Managed Redis service named
100%
100%
Multi-cloud migration planning
Four phases present
50%
100%
Assessment activities
70%
100%
Pilot activities
80%
100%
Migration activities
80%
100%
Optimization phase
100%
100%
ML workloads on GCP
100%
100%
Enterprise apps on Azure
100%
100%
General compute on AWS
100%
100%
Reserved capacity savings
100%
100%
Phase summary JSON
100%
100%
Best-of-breed placement and cost optimization
Geographic distribution pattern
100%
100%
Data sovereignty mention
0%
87%
Regional failover design
100%
100%
Automated failover
100%
100%
Reserved capacity strategy
100%
100%
Cost allocation tags
100%
100%
Lifecycle policies
0%
100%
CI/CD for deployments
100%
100%
Spot or preemptible instances
100%
100%
Cost strategies JSON
100%
100%
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Table of Contents
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