Loading content...
Web applications represent the dominant paradigm for delivering software to users. Built on the foundational protocols of HTTP/HTTPS and running in web browsers, web applications have evolved from simple document viewers to sophisticated platforms rivaling native desktop and mobile applications in capability and user experience.
From a computer networks perspective, web applications are fascinating systems that leverage the entire network stack—from TCP connections and TLS encryption to HTTP semantics and DNS resolution. Understanding web application architecture requires understanding how these network layers interact to deliver reliable, secure, and performant user experiences.
The evolution of web applications mirrors the evolution of network protocols and client capabilities:
Each era introduced new network communication patterns, security requirements, and performance optimization techniques. Today's web applications are complex distributed systems spanning browsers, CDNs, load balancers, application servers, databases, and external services.
By the end of this page, you will understand the network architecture of web applications, the communication patterns between clients and servers, rendering strategies and their network implications, session management and authentication approaches, and the infrastructure that enables scalable, secure web delivery.
A modern web application comprises multiple layers and components, each playing a distinct role in processing and delivering content to users. Understanding this architecture is fundamental for designing, operating, and troubleshooting web systems.
The Complete Request Flow:
When a user types a URL or clicks a link, a cascade of network operations occurs:
┌─────────────────────────────────────────────────────────────────────────┐
│ USER REQUEST FLOW │
│ │
│ User Action: Types "example.com" in browser │
│ │ │
│ ▼ │
│ 1. DNS Resolution ────────────────────────────────────────────────────│
│ Browser → Local DNS Cache → Recursive Resolver → Root/TLD/Auth │
│ Result: example.com → 203.0.113.50 │
│ │ │
│ ▼ │
│ 2. TCP Connection ────────────────────────────────────────────────────│
│ Browser → [SYN] → Server:443 │
│ Browser ← [SYN-ACK] ← Server │
│ Browser → [ACK] → Server │
│ │ │
│ ▼ │
│ 3. TLS Handshake ──────────────────────────────────────────────────────│
│ ClientHello + ServerHello + Certificate + Key Exchange │
│ Result: Encrypted channel established │
│ │ │
│ ▼ │
│ 4. HTTP Request ───────────────────────────────────────────────────────│
│ GET / HTTP/2 │
│ Host: example.com │
│ Accept: text/html │
│ │ │
│ ▼ │
│ 5. Server Processing ──────────────────────────────────────────────────│
│ Load Balancer → Application Server → Database → Response │
│ │ │
│ ▼ │
│ 6. HTTP Response ──────────────────────────────────────────────────────│
│ HTTP/2 200 OK │
│ Content-Type: text/html │
│ <html>...</html> │
│ │ │
│ ▼ │
│ 7. Resource Loading ───────────────────────────────────────────────────│
│ CSS, JavaScript, Images loaded in parallel (HTTP/2 multiplexing) │
│ │ │
│ ▼ │
│ 8. Page Rendering ─────────────────────────────────────────────────────│
│ Browser parses HTML, executes JS, renders UI │
└─────────────────────────────────────────────────────────────────────────┘
Typical Latency Breakdown:
| Phase | Typical Duration | Notes |
|---|---|---|
| DNS Resolution | 0-100ms | Cached after first lookup |
| TCP Handshake | 1 RTT (~20-100ms) | Connection reuse eliminates |
| TLS Handshake | 1-2 RTT (~40-200ms) | TLS 1.3 reduces to 1 RTT |
| HTTP Request/Response | 50-500ms | Depends on server processing |
| Resource Loading | 100-2000ms | Parallelized in HTTP/2 |
| Total Time to Interactive | 500-5000ms | Varies by application |
Network Optimization Opportunities:
Every phase presents optimization opportunities that network-aware engineers exploit:
Research consistently shows that page load time directly impacts user engagement, conversion rates, and revenue. Every 100ms of added latency can reduce conversions by 1-7%. Understanding web application networking isn't just technical knowledge—it's user experience design.
The strategy for rendering HTML content has profound implications for network communication patterns, perceived performance, and server architecture. Modern web applications choose from several approaches—often combining them for optimal results.
Server-Side Rendering (SSR):
The server generates complete HTML for each request:
┌──────────┐ GET /products ┌──────────────────────┐
│ Browser │ ──────────────────▶ │ Application Server │
│ │ │ │
│ │ │ 1. Execute logic │
│ │ │ 2. Query database │
│ │ │ 3. Render HTML │
│ │ ◀────────────────── │ │
│ │ Complete HTML └──────────────────────┘
│ │
│ Render │ ← User sees content immediately
└──────────┘
Network Characteristics:
Technologies: Next.js (React), Nuxt.js (Vue), Rails, Django, PHP
Client-Side Rendering (CSR) / Single-Page Applications (SPA):
The server sends minimal HTML; JavaScript builds the UI in the browser:
┌──────────┐ GET / ┌──────────────────────┐
│ Browser │ ──────────────────▶ │ Application Server │
│ │ │ │
│ │ ◀────────────────── │ Minimal HTML + JS │
│ │ └──────────────────────┘
│ Load JS │
│ Bundle │ ┌──────────────────────┐
│ │ GET /api/products │ API Server │
│ │ ──────────────────▶ │ │
│ │ │ Return JSON data │
│ │ ◀────────────────── │ │
│ Build │ └──────────────────────┘
│ UI │ ← User sees content after JS executes
└──────────┘
Network Characteristics:
Technologies: React (CRA), Vue, Angular, Svelte
| Aspect | SSR | CSR/SPA | SSG | ISR |
|---|---|---|---|---|
| Initial Load | Fast (HTML ready) | Slow (JS first) | Fastest (pre-built) | Fast (cached) |
| Subsequent Navigation | Full page reload | Instant (client routing) | Varies | Instant |
| Server CPU | High | Low | Minimal | Low |
| Dynamic Content | Excellent | Excellent | Build-time only | Good (revalidation) |
| SEO | Excellent | Challenging* | Excellent | Excellent |
| CDN Caching | Complex | Excellent (static) | Perfect | Excellent |
| Personalization | Easy | Client-side | Client-side | Edge functions |
Static Site Generation (SSG):
HTML generated at build time, not request time:
Build Time:
┌────────────────────────────────────────────────────┐
│ Build Process │
│ │ │
│ ├── Fetch data from CMS/API │
│ ├── Generate HTML for each page │
│ └── Output: /products.html, /about.html, ... │
└────────────────────────────────────────────────────┘
Request Time:
┌──────────┐ GET /products.html ┌─────────────┐
│ Browser │ ────────────────────────▶│ CDN │
│ │ │ │
│ │ ◀────────────────────────│ Pre-built │
│ │ Static HTML │ HTML file │
└──────────┘ └─────────────┘
Network Characteristics:
Incremental Static Regeneration (ISR):
Static pages regenerated on-demand with configurable staleness:
1. User requests page
2. CDN serves cached version (fast)
3. If stale, trigger background regeneration
4. Next request gets fresh version
This combines SSG's performance with reasonable content freshness.
Technologies: Next.js, Gatsby, Hugo, Astro
Modern frameworks support hybrid approaches—SSG for marketing pages, SSR for personalized dashboards, client-side for highly interactive features. Choose the rendering strategy per-route based on content characteristics and performance requirements.
HTTP is a stateless protocol—each request is independent, with no inherent connection to previous requests. Yet web applications routinely need to maintain user state across requests: recognizing logged-in users, remembering shopping carts, personalizing content. Session management bridges this gap.
The Session Problem:
Request 1: POST /login {username, password}
→ Server validates credentials
→ Server needs to remember: "User Alice is authenticated"
Request 2: GET /dashboard
→ How does the server know this is Alice?
→ HTTP provides no built-in user identity
Cookie-Based Sessions:
The traditional approach stores session state on the server, with a session identifier in a cookie:
┌──────────────────────────────────────────────────────────────────────┐
│ Cookie-Based Session Flow │
│ │
│ 1. Login Request │
│ POST /login │
│ Body: {username: "alice", password: "***"} │
│ │
│ 2. Server Response │
│ HTTP/1.1 200 OK │
│ Set-Cookie: session_id=abc123; HttpOnly; Secure; SameSite=Strict │
│ │
│ Server stores: sessions["abc123"] = {userId: "alice", roles: []} │
│ │
│ 3. Subsequent Requests │
│ GET /dashboard │
│ Cookie: session_id=abc123 │
│ │
│ Server lookup: sessions["abc123"] → {userId: "alice", ...} │
│ Server knows: This is Alice │
└──────────────────────────────────────────────────────────────────────┘
Session Storage Options:
| Storage | Pros | Cons |
|---|---|---|
| In-Memory | Fast, simple | Lost on restart, doesn't scale |
| Database | Persistent, queryable | Slower, DB load |
| Redis/Memcached | Fast, scalable, TTL support | Additional infrastructure |
| Signed Cookies | Stateless server | Size limits, cannot revoke |
Token-Based Authentication (JWT):
JSON Web Tokens store claims in a cryptographically signed token:
┌──────────────────────────────────────────────────────────────────────┐
│ JWT-Based Authentication │
│ │
│ 1. Login Request │
│ POST /login → Server validates credentials │
│ │
│ 2. Server Response │
│ {"token": "eyJhbGciOiJIUzI1NiIs..."} │
│ │
│ JWT Structure: │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ Header.Payload.Signature │ │
│ │ │ │
│ │ Header: {"alg": "HS256", "typ": "JWT"} │ │
│ │ Payload: {"sub": "alice", "exp": 1705312800, "roles": [...]} │ │
│ │ Signature: HMAC(header.payload, secret) │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
│ 3. Subsequent Requests │
│ GET /dashboard │
│ Authorization: Bearer eyJhbGciOiJIUzI1NiIs... │
│ │
│ Server validates signature → Trusts claims → Knows user │
│ NO database lookup required │
└──────────────────────────────────────────────────────────────────────┘
Cookies vs. JWT Tokens:
| Aspect | Cookie Sessions | JWT |
|---|---|---|
| State Location | Server (database/cache) | Token itself |
| Scalability | Requires shared session store | Stateless—any server can verify |
| Revocation | Easy (delete session) | Hard (requires blacklist) |
| Token Size | Small (session ID) | Larger (contains claims) |
| CSRF Protection | Requires CSRF tokens | Immune (not auto-sent) |
| Storage | Browser manages (cookies) | App manages (localStorage/memory) |
| Cross-Domain | Limited by cookie rules | Flexible (header-based) |
Refresh Token Pattern:
For JWTs, short-lived access tokens combined with long-lived refresh tokens balance security and usability:
1. Login → Access Token (15 min) + Refresh Token (7 days)
2. Access token used for API calls
3. When access token expires:
POST /refresh (with refresh token)
→ New access token issued
4. Refresh token rotation: Each refresh issues new refresh token
This limits exposure from stolen access tokens while maintaining long sessions.
Never store JWTs in localStorage for authentication—it's vulnerable to XSS. Use HttpOnly cookies or in-memory storage with secure handling. The convenience of localStorage doesn't justify the security risk for authentication tokens.
Traditional HTTP follows a request-response pattern: client initiates, server responds, connection returns to idle. Real-time web applications require bidirectional communication—servers pushing updates to clients without waiting for requests. This fundamental shift in communication pattern has driven the development of several technologies.
Evolution of Real-Time Techniques:
1. Polling (Naive Approach):
while (true) {
response = GET /api/updates // Request
if (response.hasUpdates) { // Maybe stale
processUpdates(response);
}
sleep(5000); // Wait 5 seconds
}
Problems: High server load, delayed updates, wasted bandwidth
2. Long Polling (Comet):
Client → GET /api/updates
(Server holds connection open for up to 30 seconds)
(When update available, server responds immediately)
Client ← Update data
Client → GET /api/updates (immediately reconnect)
Improvement: Near-real-time, lower request volume Problems: Still request-response, connection overhead, not truly bidirectional
3. Server-Sent Events (SSE):
Client → GET /api/events
Accept: text/event-stream
Server → HTTP/1.1 200 OK
Content-Type: text/event-stream
Cache-Control: no-cache
Connection: keep-alive
Server → data: {"type": "update", "content": "..."}
(Connection stays open)
Server → data: {"type": "notification", "content": "..."}
...
Advantages: Simple, built-in browser support, automatic reconnection Limitations: Unidirectional (server → client only), HTTP/1.1 connection limits
4. WebSocket:
WebSocket provides full-duplex communication over a single TCP connection:
┌─────────────────────────────────────────────────────────────────────────┐
│ WebSocket Connection Lifecycle │
│ │
│ 1. HTTP Upgrade Request │
│ GET /ws HTTP/1.1 │
│ Host: example.com │
│ Upgrade: websocket │
│ Connection: Upgrade │
│ Sec-WebSocket-Key: dGhlIHNhbXBsZSBub25jZQ== │
│ Sec-WebSocket-Version: 13 │
│ │
│ 2. Server Upgrade Response │
│ HTTP/1.1 101 Switching Protocols │
│ Upgrade: websocket │
│ Connection: Upgrade │
│ Sec-WebSocket-Accept: s3pPLMBiTxaQ9kYGzzhZRbK+xOo= │
│ │
│ 3. Full-Duplex Communication │
│ ┌─────────┐ ┌─────────┐ │
│ │ Client │ ◄═══════════════════════► │ Server │ │
│ │ │ Binary/Text Messages │ │ │
│ │ │ sent in either │ │ │
│ │ │ direction at any time │ │ │
│ └─────────┘ └─────────┘ │
│ │
│ 4. Connection Closure (graceful) │
│ Close frame sent by either party │
│ (opcode 0x8, optional status code and reason) │
└─────────────────────────────────────────────────────────────────────────┘
WebSocket Frame Format:
0 1 2 3
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1
+-+-+-+-+-------+-+-------------+-------------------------------+
|F|R|R|R| opcode|M| Payload len | Extended payload length |
|I|S|S|S| (4) |A| (7) | (16/64) |
|N|V|V|V| |S| | |
| |1|2|3| |K| | |
+-+-+-+-+-------+-+-------------+ - - - - - - - - - - - - - - - -+
| Masking-key (if MASK set) |
+-------------------------------+-------------------------------+
| Payload Data |
+--------------------------------------------------------------+
Opcode values:
0x0 = Continuation frame
0x1 = Text frame
0x2 = Binary frame
0x8 = Connection close
0x9 = Ping
0xA = Pong
| Technique | Direction | Overhead | Latency | Best For |
|---|---|---|---|---|
| Polling | Client → Server | Very High | Polling interval | Legacy systems only |
| Long Polling | Client → Server | Medium | Near real-time | Fallback compatibility |
| SSE | Server → Client | Low | Low | Notifications, feeds |
| WebSocket | Bidirectional | Lowest | Lowest | Chat, gaming, collaboration |
| WebRTC | Peer-to-Peer | Variable | Lowest | Video/audio, P2P data |
Scaling WebSocket connections requires different approaches than HTTP. Each connection consumes server resources until closed. Use connection pooling, consider protocol-specific load balancers (Layer 7 with WebSocket awareness), and implement reconnection with exponential backoff. A typical production server can handle 10,000-100,000 concurrent WebSocket connections with proper tuning.
Content Delivery Networks (CDNs) are globally distributed networks of servers that cache and deliver content from locations geographically close to users. For web applications, CDNs are essential infrastructure for performance, reliability, and security.
The Latency Problem:
The speed of light limits how fast data can travel. A request from Tokyo to a server in Virginia takes approximately 80-100ms just for network propagation—before any processing occurs.
Without CDN:
User (Tokyo) → Ocean Cable → US East Coast → Server → Response
~100ms RTT × multiple resources = Slow
With CDN:
User (Tokyo) → Local CDN Edge (Tokyo) → Response
~5ms RTT × resources = Fast
CDN Architecture:
┌─────────────────────────────────────────────────────────────────────────┐
│ Global CDN Network │
│ │
│ User Request │
│ │ │
│ ▼ │
│ ┌─────────────┐ │
│ │ Anycast DNS │ → Resolves to nearest edge server │
│ └──────┬──────┘ │
│ │ │
│ ┌─────┴─────────────────────────────────────────────────────┐ │
│ │ Edge Server Layer │ │
│ │ ┌────────┐ ┌────────┐ ┌────────┐ ┌────────┐ │ │
│ │ │ Tokyo │ │ London │ │ NYC │ │ Sydney │ ... │ │
│ │ └────┬───┘ └────────┘ └────────┘ └────────┘ │ │
│ │ │ │ │
│ │ │ Cache Miss │ │
│ └───────┼────────────────────────────────────────────────────┘ │
│ ▼ │
│ ┌─────────────────────────────────────────────┐ │
│ │ Origin Shield Layer │ │
│ │ (Reduces origin requests, consolidates) │ │
│ └─────────────────┬───────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────┐ │
│ │ Origin Server │ │
│ │ (Your application) │ │
│ └─────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────────────┘
Cache-Control Headers:
# Long cache for versioned static assets
Cache-Control: public, max-age=31536000, immutable
# Short cache for API responses
Cache-Control: public, max-age=60, stale-while-revalidate=300
# No caching for personalized content
Cache-Control: private, no-store
# Browser can cache but must revalidate
Cache-Control: no-cache
CDN Beyond Caching:
Modern CDNs provide services beyond simple caching:
| Feature | Description |
|---|---|
| DDoS Protection | Absorb attack traffic before it reaches origin |
| Web Application Firewall | Block malicious requests at edge |
| SSL/TLS Termination | Handle encryption at edge, reducing latency |
| Image Optimization | Resize, compress, convert formats on-the-fly |
| Edge Compute | Run code at edge locations (Cloudflare Workers, Lambda@Edge) |
| Video Streaming | Adaptive bitrate streaming, live and VOD |
| Bot Management | Identify and manage bot traffic |
Edge Computing:
Edge compute platforms run application code closer to users:
Traditional: Request → CDN Edge → Origin (Virginia) → Response
[cache hit only]
Edge Compute: Request → CDN Edge → [Execute JavaScript] → Response
[dynamic personalization at edge]
Use cases: A/B testing, authentication, personalization, redirects, API responses
Major CDN providers include Cloudflare, AWS CloudFront, Akamai, Fastly, and Google Cloud CDN. Selection criteria include global coverage, pricing model, feature set, and integration with your infrastructure. For most applications, CDN costs are trivial compared to the performance and reliability benefits.
Web applications face a unique threat landscape due to their public exposure, the complexity of the browser environment, and the sensitive data they handle. Security must be designed into the application architecture, not added as an afterthought.
Transport Security (HTTPS):
All web application traffic should be encrypted with TLS/HTTPS:
HSTS (HTTP Strict Transport Security):
Strict-Transport-Security: max-age=31536000; includeSubDomains; preload
Forces browsers to only use HTTPS for the domain, preventing downgrade attacks.
Common Attack Vectors:
| Attack | Description | Mitigation |
|---|---|---|
| XSS (Cross-Site Scripting) | Injection of malicious scripts into web pages | Content Security Policy, output encoding, sanitization |
| CSRF (Cross-Site Request Forgery) | Tricking users into performing unwanted actions | CSRF tokens, SameSite cookies |
| SQL Injection | Injection of SQL commands via input fields | Parameterized queries, ORM usage |
| SSRF (Server-Side Request Forgery) | Tricking server into making unintended requests | URL validation, network segmentation |
| Clickjacking | Overlaying invisible frames to capture clicks | X-Frame-Options, frame-ancestors CSP |
| Open Redirect | Redirecting users to malicious sites | Whitelist allowed redirect targets |
Content Security Policy (CSP):
CSP restricts what resources the browser can load, mitigating XSS and data injection:
Content-Security-Policy:
default-src 'self';
script-src 'self' 'unsafe-inline' https://cdn.example.com;
style-src 'self' 'unsafe-inline';
img-src 'self' data: https:;
font-src 'self' https://fonts.googleapis.com;
connect-src 'self' https://api.example.com;
frame-ancestors 'none';
base-uri 'self';
form-action 'self'
CORS (Cross-Origin Resource Sharing):
CORS controls which origins can access resources via JavaScript:
┌─────────────────────────────────────────────────────────────────────────┐
│ CORS Preflight Flow │
│ │
│ 1. Browser detects cross-origin request with 'risky' characteristics │
│ │
│ 2. Preflight Request (automatic) │
│ OPTIONS /api/data │
│ Origin: https://frontend.example.com │
│ Access-Control-Request-Method: POST │
│ Access-Control-Request-Headers: Content-Type, Authorization │
│ │
│ 3. Server Response │
│ Access-Control-Allow-Origin: https://frontend.example.com │
│ Access-Control-Allow-Methods: GET, POST, OPTIONS │
│ Access-Control-Allow-Headers: Content-Type, Authorization │
│ Access-Control-Max-Age: 86400 │
│ │
│ 4. If headers match, browser proceeds with actual request │
│ │
│ 5. Actual Request │
│ POST /api/data │
│ Origin: https://frontend.example.com │
│ Content-Type: application/json │
│ Authorization: Bearer ... │
└─────────────────────────────────────────────────────────────────────────┘
Security Headers Summary:
# Prevent XSS
Content-Security-Policy: default-src 'self'; ...
X-Content-Type-Options: nosniff
X-XSS-Protection: 1; mode=block # Legacy, CSP preferred
# Prevent clickjacking
X-Frame-Options: DENY
# Force HTTPS
Strict-Transport-Security: max-age=31536000; includeSubDomains
# Control referer information
Referrer-Policy: strict-origin-when-cross-origin
# Restrict browser features
Permissions-Policy: geolocation=(), camera=(), microphone=()
No single security measure is sufficient. Defense in depth—multiple overlapping controls—provides resilience against unknown vulnerabilities. Combine network-level controls (firewalls, CDN WAF), transport security (TLS), application-level validation, and monitoring/alerting for a comprehensive security posture.
Web performance directly impacts user experience, engagement, SEO rankings, and business outcomes. Optimization requires understanding the network, browser rendering, and the interplay between them.
Core Web Vitals:
Google's Core Web Vitals measure real-world user experience:
| Metric | What It Measures | Target |
|---|---|---|
| LCP (Largest Contentful Paint) | Loading—when main content appears | < 2.5s |
| FID (First Input Delay) | Interactivity—response to first input | < 100ms |
| CLS (Cumulative Layout Shift) | Visual Stability—unexpected layout shifts | < 0.1 |
| INP (Interaction to Next Paint) | Responsiveness throughout session | < 200ms |
Network Optimization Techniques:
1. HTTP/2 and HTTP/3:
2. Resource Optimization:
<!-- Preconnect to critical origins -->
<link rel="preconnect" href="https://api.example.com">
<!-- Prefetch resources for likely navigation -->
<link rel="prefetch" href="/next-page.html">
<!-- Preload critical resources -->
<link rel="preload" href="/critical.css" as="style">
<link rel="preload" href="/hero.jpg" as="image">
3. Compression:
Resource Loading Strategies:
┌─────────────────────────────────────────────────────────────────────────┐
│ Optimal Resource Loading │
│ │
│ Critical Path (render blocking): │
│ ├── HTML (initial request) │
│ ├── Critical CSS (inline or preloaded) │
│ └── Critical fonts (preloaded) │
│ │
│ First Paint ──────────────────────────────────────────────────────────│
│ │
│ Deferred Loading: │
│ ├── Non-critical CSS (rel="preload" as="style") │
│ ├── JavaScript bundles (defer or async) │
│ └── Analytics, third-party scripts │
│ │
│ Lazy Loading (on demand): │
│ ├── Below-fold images (loading="lazy") │
│ ├── Route-specific JavaScript (dynamic import) │
│ └── User-triggered features │
│ │
│ Speculative Loading: │
│ ├── Prefetch likely next pages │
│ └── Preconnect to origins for anticipated requests │
└─────────────────────────────────────────────────────────────────────────┘
Caching Strategies:
| Content Type | Caching Strategy | Cache-Control |
|---|---|---|
| Versioned Static Assets | Immutable, long TTL | max-age=31536000, immutable |
| Unversioned Static | Short TTL with revalidation | max-age=3600, stale-while-revalidate=86400 |
| API Responses | Varies by endpoint | max-age=0 to max-age=300 |
| HTML Pages | No cache or short | no-cache or max-age=300 |
| User-Specific Data | Private, no cache | private, no-store |
Monitoring and Measurement:
Use Real User Monitoring (RUM) to measure actual performance:
Optimization without measurement is guesswork. Use performance budgets, monitor real user metrics, and focus optimization effort where it has the greatest impact. The heaviest resource or slowest request often isn't where you expect.
We've explored web application architecture through the lens of computer networking—understanding how HTTP, caching, session management, real-time communication, and content delivery work together to create the modern web.
Transition to Mobile Backends:
With web applications thoroughly covered, we'll next examine mobile backends—the server-side systems that power iOS, Android, and cross-platform mobile applications. While sharing many patterns with web applications, mobile backends face unique constraints around offline operation, push notifications, bandwidth sensitivity, and API versioning that shape their network architecture.
You now have comprehensive knowledge of web application architecture from a networking perspective—from the full request lifecycle through rendering strategies, session management, real-time communication, CDN utilization, and security. This foundation enables you to design, optimize, and troubleshoot web applications at any scale.