Cloud design patterns for distributed systems architecture covering 42 industry-standard patterns across reliability, performance, messaging, security, and deployment categories. Use when designing, reviewing, or implementing distributed system architectures.

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. 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](references/reliability resilience.md) Ambassador, Bulkhead, Circuit Breaker, Compensating Transaction, Retry, Health Endpoint Monitoring, Leader Election, Saga, Sequential Convoy [Performance Patterns](references/performance.md) Async Request Reply, Cache Aside, CQRS, Index Table, Materialized View, Priority Queue, Queue Based Load Leveling, Rate Limiting, Sharding, Throttling [Messaging & Integration Patterns](references/messaging integration.md) Choreography, Claim Check, Competing Consumers, Messaging Bridge, Pipes and Filters, Publisher Subscriber, Scheduler Agent Supervisor [Architecture & Design Patterns](references/architecture design.md) Anti Corruption Layer, Backends for Frontends, Gateway Aggregation/Offloading/Routing, Sidecar, Strangler Fig [Deployment & Operational Patterns](references/deployment operational.md) Compute Resource Consolidation, Deployment Stamps, External Configuration Store, Geode, Static Content Hosting [Security Patterns](references/security.md) Federated Identity, Quarantine, Valet Key [Event Driven Architecture Patterns](references/event driven.md) Event Sourcing [Best Practices & Pattern Selection](references/best practices.md) Selecting appropriate patterns, Well Architected Framework alignment, documentation, monitoring [Azure Service Mappings](references/azure service mappings.md) 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 [Cloud Design Patterns Azure Architecture Center](https://learn.microsoft.com/azure/architecture/patterns/) [Azure Well Architected Framework](https://learn.microsoft.com/azure/architecture/framework/)

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