Cloud Design Patterns
OfficialFreeStreamline your distributed system architecture design.
Free · Opens the source repo
What Cloud Design Patterns does
Cloud Design Patterns is a comprehensive guide for architects and developers looking to design effective distributed systems. It covers 42 industry-standard patterns that address various challenges in reliability, performance, messaging, security, and deployment. By leveraging these patterns, users can create cloud workloads that are resilient, efficient, and secure, while also being adaptable to different cloud environments, including Azure and hybrid setups.
This skill provides a structured approach to understanding and applying design patterns that mitigate common pitfalls associated with distributed computing. It highlights how these patterns can help overcome misconceptions such as assuming network reliability or infinite bandwidth. Each pattern comes with trade-offs, encouraging users to focus on the rationale behind their choices rather than just implementation details.
Additionally, the skill includes references to specific pattern categories, such as reliability and resilience, performance, messaging, architecture, deployment, and security. Each category encompasses several patterns that cater to specific design needs, making it easier for users to select the right solutions for their projects. The included references also provide deeper insights into best practices and Azure service mappings, further enhancing the design process.
Whether you are designing a new system or reviewing an existing architecture, Cloud Design Patterns serves as a valuable resource for ensuring that your designs meet both functional and nonfunctional requirements, ultimately leading to more robust and maintainable applications in the cloud.
When to use it
Use this skill when designing, reviewing, or implementing distributed systems to ensure best practices are followed.
When not to use it
This skill may not be suitable for simple applications that do not require complex distributed architecture or for users seeking specific implementation code rather than design guidance.
What you can build with it
Designing a New Cloud Application
When starting a new project, use this skill to select appropriate design patterns that address specific functional and nonfunctional requirements.
Reviewing Existing Architectures
Leverage the patterns to evaluate and improve the architecture of an existing distributed system, ensuring it meets best practices.
Implementing Resilience Strategies
Use the reliability and resilience patterns to enhance the fault tolerance and self-healing capabilities of your cloud workloads.
How to install Cloud Design Patterns
View source1. Install with the skills CLI
npx skills add github/awesome-copilot/cloud-design-patterns --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by githubCloud 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.
How Cloud Design Patterns Enhance the Design Process
Cloud workloads are vulnerable to the fallacies of distributed computing, which are common but incorrect assumptions about how distributed systems operate. Examples of these fallacies include:
- The network is reliable.
- Latency is zero.
- Bandwidth is infinite.
- The network is secure.
- Topology doesn't change.
- There's one administrator.
- Component versioning is simple.
- Observability implementation can be delayed.
These misconceptions can result in flawed workload designs. Design patterns don't eliminate these misconceptions but help raise awareness, provide compensation strategies, and provide mitigations. Each cloud design pattern has trade-offs. Focus on why you should choose a specific pattern instead of how to implement it.
References
| Reference | When to load |
|---|---|
| Reliability & Resilience Patterns | Ambassador, Bulkhead, Circuit Breaker, Compensating Transaction, Retry, Health Endpoint Monitoring, Leader Election, Saga, Sequential Convoy |
| Performance Patterns | Async Request-Reply, Cache-Aside, CQRS, Index Table, Materialized View, Priority Queue, Queue-Based Load Leveling, Rate Limiting, Sharding, Throttling |
| Messaging & Integration Patterns | Choreography, Claim Check, Competing Consumers, Messaging Bridge, Pipes and Filters, Publisher-Subscriber, Scheduler Agent Supervisor |
| Architecture & Design Patterns | Anti-Corruption Layer, Backends for Frontends, Gateway Aggregation/Offloading/Routing, Sidecar, Strangler Fig |
| Deployment & Operational Patterns | Compute Resource Consolidation, Deployment Stamps, External Configuration Store, Geode, Static Content Hosting |
| Security Patterns | Federated Identity, Quarantine, Valet Key |
| Event-Driven Architecture Patterns | Event Sourcing |
| Best Practices & Pattern Selection | Selecting appropriate patterns, Well-Architected Framework alignment, documentation, monitoring |
| Azure Service Mappings | Common Azure services for each pattern category |
Pattern Categories at a Glance
| Category | Patterns | Focus |
|---|---|---|
| Reliability & Resilience | 9 patterns | Fault tolerance, self-healing, graceful degradation |
| Performance | 10 patterns | Caching, scaling, load management, data optimization |
| Messaging & Integration | 7 patterns | Decoupling, event-driven communication, workflow coordination |
| Architecture & Design | 7 patterns | System boundaries, API gateways, migration strategies |
| Deployment & Operational | 5 patterns | Infrastructure management, geo-distribution, configuration |
| Security | 3 patterns | Identity, access control, content validation |
| Event-Driven Architecture | 1 pattern | Event sourcing and audit trails |
External Links
Frequently asked questions about Cloud Design Patterns
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