Design Patterns MCP Server

{ "patterns": [ { "id": "circuit-breaker", "name": "Circuit Breaker", "category": "Cloud-Native", "description": "Prevents cascading failures by failing fast when service is unavailable", "when_to_use": ["Distributed systems", "External service calls", "Fault tolerance"], "benefits": ["Fail fast", "System stability", "Resource protection", "Graceful degradation"], "drawbacks": ["Additional complexity", "Configuration tuning", "False positives"], "use_cases": ["Microservices", "API gateways", "External integrations"], "complexity": "Medium", "tags": ["fault-tolerance", "resilience", "microservices"] }, { "id": "bulkhead", "name": "Bulkhead Pattern", "category": "Cloud-Native", "description": "Isolates critical resources to prevent total system failure", "when_to_use": ["Resource isolation", "Fault containment", "Critical systems"], "benefits": ["Fault isolation", "Resource protection", "Improved reliability", "Graceful degradation"], "drawbacks": ["Resource overhead", "Complexity", "Management overhead"], "use_cases": ["Thread pools", "Connection pools", "Service isolation"], "complexity": "Medium", "tags": ["isolation", "resilience", "resource-management"] }, { "id": "retry-pattern", "name": "Retry Pattern", "category": "Cloud-Native", "description": "Automatically retries failed operations with backoff strategies", "when_to_use": ["Transient failures", "Network unreliability", "External services"], "benefits": ["Improved reliability", "Handles transient errors", "Better user experience"], "drawbacks": ["Increased latency", "Resource consumption", "Cascading delays"], "use_cases": ["API calls", "Database operations", "Message processing"], "complexity": "Low", "tags": ["resilience", "error-handling", "reliability"] }, { "id": "timeout-pattern", "name": "Timeout Pattern", "category": "Cloud-Native", "description": "Sets maximum wait time for operations to prevent resource blocking", "when_to_use": ["External service calls", "Resource protection", "Responsive systems"], "benefits": ["Resource protection", "System responsiveness", "Prevents blocking"], "drawbacks": ["Premature timeouts", "Configuration complexity", "False failures"], "use_cases": ["HTTP requests", "Database queries", "Remote procedure calls"], "complexity": "Low", "tags": ["timeout", "resource-protection", "performance"] }, { "id": "health-check", "name": "Health Check Pattern", "category": "Cloud-Native", "description": "Provides endpoints to monitor service health and availability", "when_to_use": ["Service monitoring", "Load balancer integration", "Deployment validation"], "benefits": ["Service visibility", "Automated recovery", "Load balancer integration"], "drawbacks": ["Additional endpoints", "Health check overhead", "False positives"], "use_cases": ["Kubernetes probes", "Load balancers", "Service discovery"], "complexity": "Low", "tags": ["monitoring", "health", "observability"] }, { "id": "function-as-a-service", "name": "Function as a Service (FaaS)", "category": "Serverless", "description": "Event-driven, stateless compute functions that auto-scale", "when_to_use": ["Event processing", "Stateless operations", "Variable workloads"], "benefits": ["No server management", "Auto-scaling", "Pay-per-execution", "Event-driven"], "drawbacks": ["Cold starts", "Vendor lock-in", "Limited execution time", "Stateless constraints"], "use_cases": ["API backends", "Data processing", "File uploads", "Scheduled tasks"], "complexity": "Low", "tags": ["serverless", "event-driven", "auto-scaling"] }, { "id": "claim-check", "name": "Claim Check Pattern", "category": "Cloud-Native", "description": "Stores large message payloads separately and passes only references", "when_to_use": ["Large message payloads", "Message size limits", "Cost optimization"], "benefits": ["Reduced message size", "Lower messaging costs", "Better performance"], "drawbacks": ["Additional storage", "Complexity", "Reference management"], "use_cases": ["File processing workflows", "Large data transfers", "Message queues"], "complexity": "Medium", "tags": ["messaging", "storage", "optimization"] }, { "id": "valet-key", "name": "Valet Key Pattern", "category": "Cloud-Native", "description": "Provides clients with restricted direct access to specific resources", "when_to_use": ["Direct resource access", "Reduced server load", "Temporary access"], "benefits": ["Reduced server load", "Direct access", "Scalability", "Cost effective"], "drawbacks": ["Security complexity", "Token management", "Limited control"], "use_cases": ["File uploads", "Direct storage access", "CDN integration"], "complexity": "Medium", "tags": ["security", "access-control", "scalability"] }, { "id": "gatekeeper", "name": "Gatekeeper Pattern", "category": "Cloud-Native", "description": "Dedicated host acts as broker between clients and services", "when_to_use": ["Security layer", "Protocol translation", "Validation"], "benefits": ["Security enforcement", "Protocol flexibility", "Centralized validation"], "drawbacks": ["Single point of failure", "Performance bottleneck", "Additional complexity"], "use_cases": ["API gateways", "Legacy integration", "Security enforcement"], "complexity": "High", "tags": ["security", "gateway", "validation"] }, { "id": "federated-identity", "name": "Federated Identity Pattern", "category": "Cloud-Native", "description": "Delegates authentication to external identity providers", "when_to_use": ["Multi-organization access", "Single sign-on", "Identity management"], "benefits": ["Simplified authentication", "User convenience", "Centralized identity"], "drawbacks": ["External dependencies", "Complexity", "Trust relationships"], "use_cases": ["Enterprise applications", "SaaS platforms", "Partner integration"], "complexity": "High", "tags": ["authentication", "identity", "sso"] }, { "id": "external-configuration-store", "name": "External Configuration Store", "category": "Cloud-Native", "description": "Centralizes configuration information outside application deployment", "when_to_use": ["Dynamic configuration", "Multiple environments", "Centralized management"], "benefits": ["Dynamic updates", "Environment consistency", "Centralized management"], "drawbacks": ["External dependency", "Network calls", "Security concerns"], "use_cases": ["Feature flags", "Environment settings", "Application parameters"], "complexity": "Medium", "tags": ["configuration", "management", "deployment"] }, { "id": "cache-aside", "name": "Cache-Aside Pattern", "category": "Caching", "description": "Application manages cache directly alongside data store", "when_to_use": ["Read-heavy workloads", "Cache control needed", "Simple caching"], "benefits": ["Simple implementation", "Cache control", "Failure handling"], "drawbacks": ["Cache management overhead", "Potential inconsistency", "Application complexity"], "use_cases": ["Database caching", "API response caching", "Computed results"], "complexity": "Medium", "tags": ["caching", "performance", "data-access"] }, { "id": "write-through-cache", "name": "Write-Through Cache", "category": "Caching", "description": "Writes go through cache to underlying data store synchronously", "when_to_use": ["Write consistency required", "Read-heavy workloads", "Simple consistency"], "benefits": ["Data consistency", "Simple implementation", "Cache warming"], "drawbacks": ["Write latency", "Cache complexity", "Storage overhead"], "use_cases": ["Financial transactions", "User profiles", "Configuration data"], "complexity": "Medium", "tags": ["caching", "consistency", "performance"] }, { "id": "write-behind-cache", "name": "Write-Behind Cache", "category": "Caching", "description": "Writes to cache immediately, persists to store asynchronously", "when_to_use": ["High write performance", "Acceptable eventual consistency", "Batch processing"], "benefits": ["High write performance", "Reduced database load", "Batching opportunities"], "drawbacks": ["Data loss risk", "Complexity", "Eventual consistency"], "use_cases": ["Analytics data", "Logging systems", "Gaming leaderboards"], "complexity": "High", "tags": ["caching", "performance", "async"] }, { "id": "read-through-cache", "name": "Read-Through Cache", "category": "Caching", "description": "Cache automatically loads data from store on cache miss", "when_to_use": ["Transparent caching", "Read optimization", "Cache warming"], "benefits": ["Transparent caching", "Automatic loading", "Simplified application"], "drawbacks": ["Initial load latency", "Cache complexity", "Error handling"], "use_cases": ["Reference data", "Product catalogs", "User sessions"], "complexity": "Medium", "tags": ["caching", "transparency", "loading"] }, { "id": "sharding", "name": "Sharding Pattern", "category": "Data Management", "description": "Horizontally partitions data across multiple databases", "when_to_use": ["Large datasets", "Horizontal scaling", "Performance optimization"], "benefits": ["Improved performance", "Horizontal scaling", "Fault isolation"], "drawbacks": ["Complexity", "Cross-shard queries", "Rebalancing challenges"], "use_cases": ["User data", "Time-series data", "Geographic distribution"], "complexity": "High", "tags": ["data-management", "scaling", "partitioning"] }, { "id": "index-table", "name": "Index Table Pattern", "category": "Data Management", "description": "Creates secondary indexes for efficient querying", "when_to_use": ["Multiple query patterns", "NoSQL databases", "Query optimization"], "benefits": ["Query flexibility", "Performance optimization", "Multiple access patterns"], "drawbacks": ["Storage overhead", "Consistency challenges", "Maintenance complexity"], "use_cases": ["Product searches", "User lookups", "Analytics queries"], "complexity": "Medium", "tags": ["data-management", "indexing", "querying"] }, { "id": "materialized-view", "name": "Materialized View Pattern", "category": "Data Management", "description": "Pre-computes and stores query results for fast access", "when_to_use": ["Complex queries", "Reporting needs", "Performance optimization"], "benefits": ["Fast query performance", "Reduced computation", "Consistent results"], "drawbacks": ["Storage overhead", "Refresh complexity", "Staleness issues"], "use_cases": ["Dashboards", "Reports", "Analytics", "Search results"], "complexity": "Medium", "tags": ["data-management", "performance", "querying"] }, { "id": "event-streaming", "name": "Event Streaming Pattern", "category": "Data Management", "description": "Continuously processes streams of events in real-time", "when_to_use": ["Real-time processing", "Event-driven architecture", "Data pipelines"], "benefits": ["Real-time processing", "Scalability", "Decoupling", "Replay capability"], "drawbacks": ["Complexity", "Ordering challenges", "Error handling"], "use_cases": ["User activity tracking", "IoT data processing", "Financial transactions"], "complexity": "High", "tags": ["data-management", "streaming", "real-time"] }, { "id": "queue-based-load-leveling", "name": "Queue-Based Load Leveling", "category": "Messaging", "description": "Uses queue to buffer between services for load management", "when_to_use": ["Variable workloads", "Load spikes", "Service decoupling"], "benefits": ["Load smoothing", "Service isolation", "Scalability", "Reliability"], "drawbacks": ["Increased latency", "Queue management", "Complexity"], "use_cases": ["Order processing", "Image processing", "Batch jobs"], "complexity": "Medium", "tags": ["messaging", "load-balancing", "queuing"] }, { "id": "competing-consumers", "name": "Competing Consumers Pattern", "category": "Messaging", "description": "Multiple consumers process messages from same queue concurrently", "when_to_use": ["High throughput", "Parallel processing", "Scalability"], "benefits": ["High throughput", "Automatic scaling", "Fault tolerance"], "drawbacks": ["Message ordering", "Load balancing", "Error handling"], "use_cases": ["Order processing", "Email sending", "Data transformation"], "complexity": "Medium", "tags": ["messaging", "concurrency", "scalability"] }, { "id": "priority-queue", "name": "Priority Queue Pattern", "category": "Messaging", "description": "Processes messages based on priority rather than arrival order", "when_to_use": ["Prioritized processing", "SLA requirements", "Critical tasks"], "benefits": ["Priority handling", "SLA compliance", "Resource optimization"], "drawbacks": ["Starvation risk", "Complexity", "Queue management"], "use_cases": ["Critical alerts", "VIP customers", "System maintenance"], "complexity": "Medium", "tags": ["messaging", "priority", "queuing"] }, { "id": "throttling", "name": "Throttling Pattern", "category": "Cloud-Native", "description": "Controls resource consumption by limiting request rates", "when_to_use": ["Rate limiting", "Resource protection", "Fair usage"], "benefits": ["Resource protection", "Fair usage", "Cost control", "Stability"], "drawbacks": ["User experience impact", "Configuration complexity", "Bypass attempts"], "use_cases": ["API rate limiting", "Resource quotas", "Cost control"], "complexity": "Medium", "tags": ["rate-limiting", "resource-protection", "control"] }, { "id": "static-content-hosting", "name": "Static Content Hosting", "category": "Cloud-Native", "description": "Serves static content from optimized global distribution networks", "when_to_use": ["Static assets", "Global distribution", "Performance optimization"], "benefits": ["Global distribution", "High performance", "Cost efficiency", "Scalability"], "drawbacks": ["Cache invalidation", "Dynamic content limitations", "Vendor dependency"], "use_cases": ["Web assets", "Downloads", "Media files", "Documentation"], "complexity": "Low", "tags": ["cdn", "static-content", "performance"] }, { "id": "anti-corruption-layer", "name": "Anti-Corruption Layer", "category": "Cloud-Native", "description": "Isolates different subsystems by translating between their models", "when_to_use": ["Legacy integration", "Different models", "System isolation"], "benefits": ["System isolation", "Model protection", "Integration flexibility"], "drawbacks": ["Additional complexity", "Performance overhead", "Maintenance"], "use_cases": ["Legacy system integration", "Third-party APIs", "System modernization"], "complexity": "High", "tags": ["integration", "isolation", "translation"] }, { "id": "backends-for-frontends", "name": "Backends for Frontends (BFF)", "category": "Cloud-Native", "description": "Creates separate backend services for different frontend experiences", "when_to_use": ["Multiple client types", "Different data needs", "Client optimization"], "benefits": ["Client optimization", "Team autonomy", "Flexible APIs"], "drawbacks": ["Code duplication", "Multiple services", "Coordination complexity"], "use_cases": ["Mobile vs web apps", "Partner APIs", "Device-specific backends"], "complexity": "Medium", "tags": ["api-design", "client-optimization", "separation"] } ] }