Cloud Design Patterns

A comprehensive reference covering 42 industry-standard patterns for distributed systems, organized into seven categories from reliability to security. You get concrete patterns like Circuit Breaker, CQRS, Strangler Fig, and Saga with guidance on when to apply each one. The skill addresses common distributed computing fallacies (the network is reliable, latency is zero) and helps you understand pattern tradeoffs rather than just implementation details. It's technology-agnostic so the patterns work across Azure, AWS, on-premises, or hybrid setups. Most valuable when you're architecting something new or reviewing an existing distributed system and need to quickly reference which patterns solve which problems.

skills.sh installs: 2.3K
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last updated: Aug 21, 2026

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$ npx -y skills add github/awesome-copilot --skill cloud-design-patterns --agent claude-code

Installs into .claude/skills of the current project.

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Cloud Design Patterns

Architects design workloads by integrating platform services, functionality, and code to meet both functional and nonfunctional requirements. To design effective workloads, you must understand these requirements and select topologies and methodologies that address the challenges of your workload's constraints. Cloud design patterns provide solutions to many common challenges.

System design heavily relies on established design patterns. You can design infrastructure, code, and distributed systems by using a combination of these patterns. These patterns are crucial for building reliable, highly secure, cost-optimized, operationally efficient, and high-performing applications in the cloud.

The following cloud design patterns are technology-agnostic, which makes them suitable for any distributed system. You can apply these patterns across Azure, other cloud platforms, on-premises setups, and hybrid environments.