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Web Request Lifecycle ​

Web Request Lifecycle Graphics Coverage ​

Primary chapter graphic: Browser Request Resolution Path, Browser URL Request Lifecycle, HTTP Concept Mind Map, HTTPS TLS Handshake Flow, HTTPS TLS Handshake Flow, HTTP Protocol Evolution, HTTP and HTTPS Request Difference, Nginx Web Serving Pattern, HTTP Status Code Families, DNS Resolution Chain. Accepted graphics: 10. Reviewed non-signal pages: 5. Open graphics in review: 0. QA status lives in graphics audit and visual review ledger.

Corpus pages: p. 18-19, p. 79, p. 81, p. 121, p. 136, p. 159, p. 176-177, p. 190, p. 231, p. 243, p. 254-257, p. 262, p. 347-348, p. 352, p. 371, p. 395-396, p. 421, p. 424-428, p. 431, p. 438, p. 440 Coverage: 32 pages; low-confidence extraction ranges: p. 18-19, p. 352, p. 371, p. 395-396

This chapter is part of Marius's owned architecture build corpus. The text routes decisions; durable implementation signal is carried by accepted graphics, reviewed non-signal decisions, and the linked QA audit.

Chapter Visuals ​

Accepted graphics carry the canonical design signal for this chapter. Each selected source page is either accepted as a graphic or explicitly marked non-signal in the source-faithful ledger. Review and QA state live in visual inventory, visual review ledger, and graphics audit.

Browser Request Resolution Path ​

Browser Request Resolution Path

Browser URL Request Lifecycle ​

Browser URL Request Lifecycle

HTTP Concept Mind Map ​

HTTP Concept Mind Map

HTTPS TLS Handshake Flow ​

HTTPS TLS Handshake Flow

HTTPS TLS Handshake Flow ​

HTTPS TLS Handshake Flow

HTTP Protocol Evolution ​

HTTP Protocol Evolution

HTTP and HTTPS Request Difference ​

HTTP and HTTPS Request Difference

Nginx Web Serving Pattern ​

Nginx Web Serving Pattern

HTTP Status Code Families ​

HTTP Status Code Families

DNS Resolution Chain ​

DNS Resolution Chain

Open Review Queue ​

  • none

Reviewed Non-Signal Pages ​

  • Web Request Lifecycle: Database + Container Map: source p. 159; batch 07; status non-signal/reviewed; ledger reason in visual-review-ledger.json
  • Web Request Lifecycle: HTTP + Cache Map: source p. 424; batch 07; status non-signal/reviewed; ledger reason in visual-review-ledger.json
  • Web Request Lifecycle: Database + Container Map: source p. 231; batch 08; status non-signal/reviewed; ledger reason in visual-review-ledger.json
  • Web Request Lifecycle: Database + Container Map: source p. 243; batch 08; status non-signal/reviewed; ledger reason in visual-review-ledger.json
  • Web Request Lifecycle: Authentication + Authorization Map: source p. 438; batch 31; status non-signal/reviewed; ledger reason in visual-review-ledger.json

Use When ​

  • A browser, webhook, or public endpoint needs a clear path from caller to response.

Avoid When ​

  • The work is offline batch processing with no user-facing request path.

Core Model ​

  • Think in hops: client, DNS, edge, gateway, app, data dependency, response, and logs.
  • Prefer explicit ownership over accidental coupling. Every boundary should say who owns correctness, cost, data, recovery, and change.
  • Use corpus page pointers for inspection, and keep the chapter notes focused on reusable design decisions.

Implementation Guidance ​

  • Draw the path in words, assign latency budgets to each hop, and decide what moves out of the synchronous request.
  • Write the smallest useful design note: purpose, inputs, outputs, state, failure behavior, observability, and rollback.
  • Choose the first implementation that can be tested against the real workflow without hiding a known production risk.

Tradeoffs ​

  • Immediate responses feel simple, but long work belongs behind job status or streaming updates.
  • Centralization reduces duplicated work but can become a bottleneck when every team needs exceptions.
  • Specialized infrastructure helps at scale, but it must earn its operational cost.

Failure Modes ​

  • A slow dependency holds the request open until several timeout layers stack together.
  • The diagram shows boxes but not ownership, retry behavior, data freshness, or user-visible failure.
  • The system has no proof path for the highest-risk assumption.

Decision Checklist ​

  • Track request ID, route, status, latency, dependency timing, and user-visible fallback.
  • Name the owner, source of truth, timeout, retry policy, and evidence that the path works.
  • Add one regression check for the failure mode most likely to recur.

Neutral Automation Examples ​

  • A report endpoint returns cached results immediately and starts a refresh job when the data is stale.
  • A neutral internal automation starts with fixtures, then adds credentials, permissions, and production scheduling only after the boundary is tested.
  • A customer-facing workflow keeps irreversible actions behind explicit approval until metrics show it is safe to automate further.