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Whether it's a resource-intensive object that shouldn't be created until absolutely necessary, a sensitive object that requires authorization before access, or an object residing on a remote server, direct instantiation and interaction often prove inadequate or dangerous. Consider these scenarios from real production systems: - **A document editor** loads high-resolution images. Users scroll through a 50-page document with hundreds of images. Loading all images upfront would consume gigabytes of memory and take minutes to open. - **An enterprise application** connects to critical database servers. Not every user should have the ability to execute destructive queries—access must be controlled based on roles and permissions. - **A distributed system** communicates with services on remote machines. The client code shouldn't be burdened with network protocols, connection management, or failure handling. - **A caching layer** wraps expensive computation. Before invoking the real computation, the system should check if a cached result exists. In each case, placing logic between the client and the real object provides the solution.71:T73c,// A resource-intensive document renderer class DocumentRenderer { private documentData: Uint8Array; private parsedPages: Map = new Map(); constructor(private documentPath: string) { // PROBLEM: Constructor loads entire document immediately // For a 500MB PDF, this blocks for seconds console.log(`Loading document from ${documentPath}...`); this.documentData = this.loadEntireDocument(documentPath); this.parseAllPages(); } private loadEntireDocument(path: string): Uint8Array { // Simulates reading entire file into memory // For large files, this is expensive! return readFileSync(path); } private parseAllPages(): void { // Parses every page upfront // User might only view page 1! for (let i = 0; i < this.getPageCount(); i++) { this.parsedPages.set(i, this.parsePage(i)); } } renderPage(pageNumber: number): Canvas { return this.renderFromParsed(this.parsedPages.get(pageNumber)!); } } // Client code - tightly coupled to eager loading class DocumentViewer { private renderers: Map = new Map(); openDocument(path: string): void { // PROBLEM: Every document is fully loaded when "opened" // User might just be browsing thumbnails! const renderer = new DocumentRenderer(path); this.renderers.set(path, renderer); } viewPage(path: string, page: number): Canvas { return this.renderers.get(path)!.renderPage(page); } } // Usage: Opening 10 documents loads 5GB of data immediately const viewer = new DocumentViewer(); const documents = getRecentDocuments(); // Returns 10 paths documents.forEach(doc => viewer.openDocument(doc)); // Blocks for 30+ seconds!72:T527,// Without location transparency, clients handle networking directly class OrderServiceClient { async placeOrder(order: Order): Promise { // Client is burdened with: // 1. URL construction const url = `https://${this.host}:${this.port}/api/orders`; // 2. Serialization const body = JSON.stringify(order); // 3. Network call with timeout/retry const response = await fetch(url, { method: 'POST', body, headers: { 'Content-Type': 'application/json' }, signal: AbortSignal.timeout(5000), }); // 4. Error handling if (!response.ok) { throw new NetworkError(`Order failed: ${response.status}`); } // 5. Deserialization return await response.json() as OrderResult; } // Every method repeats this pattern! async cancelOrder(orderId: string): Promise { /* ... */ } async getOrderStatus(orderId: string): Promise { /* ... */ } } // Ideal: Client shouldn't know OrderService is remote interface OrderService { placeOrder(order: Order): Promise; cancelOrder(orderId: string): Promise; getOrderStatus(orderId: string): Promise; }73:T79f,// ANTI-PATTERN: Mixing concerns in original class class ImageRenderer { private image: ImageData | null = null; private cache: Map = new Map(); private accessLog: AuditLog; private rateLimiter: RateLimiter; constructor( private imagePath: string, private user: User, // Access control concern private cacheEnabled: boolean, // Caching concern private loggingEnabled: boolean, // Logging concern ) { this.accessLog = new AuditLog(); this.rateLimiter = new RateLimiter(100); } render(width: number, height: number): Canvas { // Logging concern mixed in if (this.loggingEnabled) { this.accessLog.record(this.user, 'render', { width, height }); } // Access control concern mixed in if (!this.user.hasPermission('render:images')) { throw new UnauthorizedError('User cannot render images'); } // Rate limiting concern mixed in if (!this.rateLimiter.allow(this.user.id)) { throw new RateLimitError('Too many requests'); } // Caching concern mixed in const cacheKey = `${width}x${height}`; if (this.cacheEnabled && this.cache.has(cacheKey)) { return this.cache.get(cacheKey)!; } // Lazy loading concern mixed in if (!this.image) { this.image = this.loadImage(); } // FINALLY: Actual business logic const result = this.doRender(this.image, width, height); // More caching logic if (this.cacheEnabled) { this.cache.set(cacheKey, result); } return result; } private doRender(image: ImageData, width: number, height: number): Canvas { // The actual rendering - 10 lines buried in 50+ lines of concerns } 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Design LLD","topic":"Structural Patterns","title":"Proxy Pattern","description":"Master the Proxy pattern to control access to objects through surrogate stand-ins. Learn to implement virtual proxies for lazy loading, protection proxies for access control, remote proxies for distributed systems, and smart references for additional functionality.","difficulty":"INTERMEDIATE","estimatedMinutes":90,"pages":[{"id":"seed_853a9d51f6c1d66b86fbf4375da26814","title":"Problem — Controlling Access to Object","order":0,"content":[{"id":"opening-hook","title":"The Access Control Dilemma","content":[{"data":{"content":"$70"},"type":"text"},{"data":{"icon":"Target","title":"What You Will Learn","content":"By the end of this page, you will understand the core problem that the Proxy pattern solves—why direct access to objects becomes problematic and what types of access control are commonly needed. You'll recognize proxy-eligible scenarios in your own systems and understand why a separate intermediary object provides the cleanest solution.","variant":"info"},"type":"callout"}]},{"id":"direct-access-problem","title":"The Direct Access Problem","content":[{"data":{"content":"When clients directly instantiate and interact with objects, they become tightly coupled to:\n\n1. **Object creation timing** — The client decides when objects are created\n2. **Object location** — The client assumes objects exist in the same process/memory space\n3. **Access privileges** — No validation occurs before operations execute\n4. **Resource management** — No opportunity for optimization, caching, or lifecycle management\n\nThis direct coupling works fine for simple scenarios, but breaks down as systems grow in complexity, scale across networks, or require security controls.\n\n**Let's examine a concrete example:**"},"type":"text"},{"data":{"code":"$71","fileName":"direct-access-problem.ts","languages":[{"label":"TypeScript","value":"typescript"}]},"type":"code"},{"data":{"content":"**The problems in this design are severe:**\n\n- **Memory explosion**: Opening 10 large documents consumes gigabytes of RAM\n- **Startup latency**: Users wait 30+ seconds before the application responds\n- **Wasted resources**: Most pages are never viewed, but all are parsed\n- **No control point**: We can't add caching, access control, or monitoring without modifying the core class"},"type":"text"},{"data":{"icon":"AlertCircle","title":"The Naive Solution Won't Scale","content":"You might think 'just make loading lazy with optional parameters'. But this pollutes the interface, requires all clients to understand the lazy loading protocol, and couples optimization concerns to business logic. We need a solution that keeps the real object unchanged while providing controlled access.","variant":"warning"},"type":"callout"}],"titleType":"number","titleNumber":1},{"id":"access-control-categories","title":"Categories of Access Control Needs","content":[{"data":{"content":"Access control needs fall into several distinct categories, each presenting unique challenges. Understanding these categories helps us recognize when a proxy-based solution is appropriate.\n\n### 2.1 Resource Management (Lazy Initialization)\n\nSome objects are expensive to create but may never be used, or their creation should be deferred until absolutely necessary."},"type":"text"},{"data":{"items":["**Large file loading** — Documents, images, videos that consume significant memory","**Database connections** — Connection pools where connections shouldn't be opened until needed","**Complex computations** — Machine learning models, scientific simulations, rendering engines","**External service clients** — API clients that require authentication handshakes","**Hardware resources** — Camera streams, audio devices, GPU contexts"],"title":{"icon":"Zap","text":"Lazy Initialization Scenarios","type":"icon","color":"primary","variant":"outline-circle"},"variant":"accent"},"type":"list"},{"data":{"content":"### 2.2 Security and Authorization\n\nNot all clients should have equal access to all operations. Access must be validated, logged, and potentially denied."},"type":"text"},{"data":{"rows":[["Admin dashboard","Only admin users can access sensitive operations","Security checks scattered throughout codebase"],["Banking transactions","Amounts above threshold require additional verification","Business logic mixed with security logic"],["Document sharing","Read vs write permissions per user","Permission checks duplicated in every method"],["Multi-tenant system","Tenant A cannot access Tenant B's data","Tenant isolation logic everywhere"],["Rate limiting","Users limited to N requests per minute","Rate limiting code in every endpoint"]],"caption":"Authorization Control Scenarios","headers":["Scenario","Protection Need","Without Proxy"]},"type":"table"},{"data":{"content":"### 2.3 Location Transparency (Remote Access)\n\nIn distributed systems, objects may reside on different machines. Clients shouldn't need to know or care about object location."},"type":"text"},{"data":{"code":"$72","fileName":"remote-access-problem.ts","languages":[{"label":"TypeScript","value":"typescript"}]},"type":"code"},{"data":{"content":"### 2.4 Smart References (Additional Functionality)\n\nSometimes we need to add behavior when objects are accessed—logging, caching, reference counting, synchronization—without modifying the object itself."},"type":"text"},{"data":{"items":["**Logging proxy** — Record all method calls for debugging or auditing","**Caching proxy** — Cache expensive operation results transparently","**Synchronization proxy** — Add thread-safety to non-thread-safe objects","**Reference counting proxy** — Track object usage for garbage collection or resource management","**Copy-on-write proxy** — Delay expensive copies until modification occurs"],"title":{"icon":"Lightbulb","text":"Smart Reference Use Cases","type":"icon","color":"primary","variant":"outline-circle"},"variant":"glass"},"type":"list"}],"titleType":"number","titleNumber":2},{"id":"why-not-modify-original","title":"Why Not Just Modify the Original Class?","content":[{"data":{"content":"A reasonable question emerges: **Why not simply add lazy loading, access control, and caching directly to the original class?**\n\nThis approach seems simpler at first glance, but it violates fundamental design principles and creates long-term maintenance problems."},"type":"text"},{"data":{"left":[{"data":{"items":["**Single Responsibility Violation** — Class now handles business logic AND access control AND caching AND logging","**Open-Closed Violation** — Adding new access control types requires modifying the class","**Testing Complexity** — Cannot test business logic in isolation from access control","**Inflexibility** — Cannot have different access policies for different clients","**Library Classes** — Cannot modify third-party code at all"],"title":{"icon":"XCircle","text":"Problems with Modifying Original Class","type":"icon","color":"destructive","variant":"outline-circle"},"variant":"glass"},"type":"list"}],"right":[{"data":{"items":["**Separation of Concerns** — Each class has one clear responsibility","**Composability** — Stack multiple proxies for combined behaviors","**Testability** — Test each concern independently","**Flexibility** — Use different proxies for different clients","**Third-party Compatible** — Wrap any class without modification"],"title":{"icon":"CheckCircle","text":"Benefits of Separate Proxy","type":"icon","color":"primary","variant":"outline-circle"},"variant":"glass"},"type":"list"}]},"type":"two-column"},{"data":{"code":"$73","fileName":"god-class-antipattern.ts","languages":[{"label":"TypeScript","value":"typescript"}]},"type":"code"},{"data":{"icon":"AlertCircle","title":"The God Class Trap","content":"When a class handles too many concerns, it becomes a 'god class'—difficult to understand, impossible to test in isolation, and terrifying to modify. Every change risks breaking unrelated functionality. The proxy pattern provides an escape hatch from this trap.","variant":"error"},"type":"callout"}],"titleType":"number","titleNumber":3},{"id":"core-insight-interposition","title":"The Core Insight — Interposition","content":[{"data":{"content":"The Proxy pattern is built on a powerful idea: **interposition**. Instead of clients accessing objects directly, we insert an intermediary that:\n\n1. **Presents the same interface** as the real object (clients don't know they're talking to a proxy)\n2. **Controls access** to the real object based on any criteria we choose\n3. **Adds functionality** before or after delegating to the real object\n4. **Maintains transparency** — the client's code doesn't change\n\nThis interposition creates a **seam** in the system—a point where behavior can be modified without touching either the client or the real object."},"type":"text"},{"data":{"height":"300px","mermaidSyntax":"graph LR\n subgraph \"Without Proxy\"\n C1[Client] -->|Direct Access| R1[Real Object]\n end\n \n subgraph \"With Proxy\"\n C2[Client] -->|Same Interface| P[Proxy]\n P -->|Controlled Access| R2[Real Object]\n end\n \n style P fill:#e1f5fe,stroke:#01579b\n style R1 fill:#f3e5f5,stroke:#4a148c\n style R2 fill:#f3e5f5,stroke:#4a148c"},"type":"mermaid-excalidraw"},{"data":{"content":"**The proxy becomes a gatekeeper**, but one that speaks the same language as the object it guards. Clients continue using familiar interfaces; they simply don't realize they're talking to a representative rather than the principal.\n\nThis concept appears throughout computing:\n\n- **Web proxies** intercept HTTP requests, adding caching, filtering, or logging\n- **Database connection pools** are proxies managing actual database connections\n- **API gateways** proxy requests to backend services\n- **Virtual memory** is the operating system proxying access to physical memory"},"type":"text"},{"data":{"icon":"Lightbulb","title":"The Transparency Principle","content":"A well-designed proxy is indistinguishable from the real object to client code. If clients must know whether they're using a proxy or the real object, the abstraction has leaked. Strive for substitutability—any place expecting the real object should accept the proxy.","variant":"tip"},"type":"callout"}],"titleType":"number","titleNumber":4},{"id":"real-world-scenarios","title":"Real-World Problem Scenarios Deep Dive","content":[{"data":{"content":"Let's examine detailed real-world scenarios where uncontrolled object access creates significant problems. These scenarios will reappear throughout this module as we apply the Proxy pattern to solve them."},"type":"text"},{"data":{"tabs":[{"id":"media-streaming","label":"Media Streaming","content":[{"data":{"content":"**Scenario: Video Streaming Platform**\n\nA video streaming service displays a catalog of thousands of videos. Each video has associated metadata, thumbnails, and the actual video stream."},"type":"text"},{"data":{"items":["**Memory explosion**: Loading all video objects for a catalog page would consume gigabytes of RAM (actual video data)","**Startup latency**: Users would wait minutes for the catalog to render","**Bandwidth waste**: Video data pre-fetched for unwatched content wastes network resources","**No access control**: Premium content might be served to free-tier users"],"title":"Problems with Direct Access","variant":"glass"},"type":"list"},{"data":{"code":"// Problem: Video object loads stream on construction\nclass Video {\n private stream: VideoStream;\n private metadata: VideoMetadata;\n \n constructor(videoId: string) {\n this.metadata = fetchMetadata(videoId); // Quick\n this.stream = loadVideoStream(videoId); // SLOW - 100MB+\n }\n \n getTitle(): string { return this.metadata.title; }\n play(): void { this.stream.start(); }\n}\n\n// Catalog loads ALL videos - disaster!\nclass VideoCatalog {\n private videos: Video[] = [];\n \n constructor() {\n for (const id of getAllVideoIds()) { // 10,000 videos\n this.videos.push(new Video(id)); // 1TB loaded!\n }\n }\n}","languages":[{"label":"TypeScript","value":"typescript"}]},"type":"code"}],"titleIcon":"Zap"},{"id":"banking-system","label":"Banking System","content":[{"data":{"content":"**Scenario: Enterprise Banking Application**\n\nA banking system provides account management capabilities. Different users have different permission levels, and all operations must be audited."},"type":"text"},{"data":{"items":["**Role-based access**: Tellers can view balances; managers can approve large transfers","**Audit trail**: Every operation must be logged with user, timestamp, and details","**Transaction limits**: Different limits based on user role and account type","**Fraud detection**: Unusual patterns should trigger alerts"],"title":"Security and Audit Requirements","variant":"glass"},"type":"list"},{"data":{"code":"// Problem: Account has no access control\nclass BankAccount {\n constructor(\n private accountNumber: string,\n private balance: number\n ) {}\n \n getBalance(): number {\n return this.balance; // Anyone can see!\n }\n \n withdraw(amount: number): void {\n // No permission check!\n // No audit logging!\n // No transaction limit!\n this.balance -= amount;\n }\n \n transfer(target: BankAccount, amount: number): void {\n // No fraud detection!\n // No approval workflow for large amounts!\n this.withdraw(amount);\n target.deposit(amount);\n }\n}","languages":[{"label":"TypeScript","value":"typescript"}]},"type":"code"}],"titleIcon":"DollarSign"},{"id":"microservices","label":"Microservices","content":[{"data":{"content":"**Scenario: Distributed Microservices Architecture**\n\nAn e-commerce platform consists of dozens of microservices. The order service needs to communicate with inventory, payment, and shipping services."},"type":"text"},{"data":{"items":["**Network complexity**: RPC, serialization, timeouts, retries everywhere","**Service discovery**: Services move; hardcoded URLs break","**Circuit breaking**: Failing services shouldn't cascade failures","**Load balancing**: Requests should be distributed across instances"],"title":"Distributed System Challenges","variant":"glass"},"type":"list"},{"data":{"code":"// Problem: Every service method handles network concerns\nclass OrderService {\n async createOrder(order: Order): Promise {\n // Check inventory - manual network handling\n const inventoryUrl = await this.serviceRegistry.lookup('inventory');\n const inventoryResponse = await fetch(`${inventoryUrl}/check`, {\n method: 'POST',\n body: JSON.stringify(order.items),\n timeout: 5000,\n });\n \n if (!inventoryResponse.ok) {\n // Retry logic? Circuit breaker? All manual!\n }\n \n // Process payment - repeat all networking code\n const paymentUrl = await this.serviceRegistry.lookup('payment');\n // ... more boilerplate ...\n \n // Create shipment - repeat again\n const shippingUrl = await this.serviceRegistry.lookup('shipping');\n // ... even more boilerplate ...\n }\n}","languages":[{"label":"TypeScript","value":"typescript"}]},"type":"code"}],"titleIcon":"Target"}]},"type":"tabs"}],"titleType":"number","titleNumber":5},{"id":"recognizing-opportunities","title":"Recognizing Proxy Opportunities","content":[{"data":{"content":"How do you recognize when a Proxy pattern would benefit your design? Look for these **diagnostic questions** and **code smells**:"},"type":"text"},{"data":{"type":"ordered","items":["**Timing**: Should object creation be deferred until first use? Is the constructor expensive?","**Location**: Does the object reside on a different machine? Does the client need location transparency?","**Permission**: Should different clients have different access levels? Are there operations that require authorization?","**Monitoring**: Do you need to log, count, or audit all interactions with this object?","**Optimization**: Could caching, pooling, or lazy evaluation improve performance transparently?","**Transformation**: Should data be validated, encrypted, or transformed before reaching the object?"],"title":{"icon":"Target","text":"Diagnostic Questions","type":"icon","color":"primary","variant":"outline-circle"},"variant":"accent"},"type":"list"},{"data":{"content":"**Code smells that suggest proxy need:**"},"type":"text"},{"data":{"rows":[["Repeated null checks","`if (this.heavyObject === null) { this.heavyObject = createHeavy(); }`","Virtual Proxy"],["Permission checks in every method","`if (!user.can('read')) throw UnauthorizedError;`","Protection Proxy"],["Network code scattered everywhere","`const response = await fetch(url);`","Remote Proxy"],["Identical caching logic repeated","`const cached = this.cache.get(key); if (cached) return cached;`","Caching Proxy"],["Logging statements everywhere","`console.log('Entering method X');`","Logging Proxy"]],"caption":"Code Smells Indicating Proxy Need","headers":["Code Smell","Symptom","Proxy Type"]},"type":"table"},{"data":{"icon":"Lightbulb","title":"The Proxy Litmus Test","content":"If you find yourself adding code BEFORE or AFTER method calls that isn't part of the core business logic, you're a candidate for the Proxy pattern. This cross-cutting code should live in a proxy, not pollute the original class or every call site.","variant":"tip"},"type":"callout"}],"titleType":"number","titleNumber":6},{"id":"summary","title":"Summary: The Case for Controlled Access","content":[{"data":{"content":"We've established that direct object access, while simple, creates significant problems as systems grow in complexity:"},"type":"text"},{"data":{"type":"ordered","items":["**Direct access couples clients** to object creation timing, location, and lifecycle management","**Access control falls into four categories**: lazy initialization, security/authorization, remote access, and smart references","**Modifying original classes** to add access control violates SRP and creates god classes","**Interposition** — placing an intermediary between client and object — provides a clean solution","**Proxies present the same interface** as real objects, maintaining client code compatibility","**Recognize proxy opportunities** through diagnostic questions and code smells"],"title":{"icon":"CheckCircle","text":"Key Takeaways","type":"icon","color":"primary","variant":"outline-circle"},"variant":"accent"},"type":"list"},{"data":{"content":"**What's Next:**\n\nNow that we understand the problem space, the next page introduces the Proxy pattern's solution: the **surrogate with the same interface**. We'll see how creating a stand-in object that implements the same interface as the real object provides the control point we need while maintaining complete transparency to client code."},"type":"text"},{"data":{"icon":"CheckCircle","title":"Page Complete","content":"You now understand why direct object access becomes problematic and the types of access control commonly needed. 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