Redis Cache Invalidation Flow Infographic | aws draw io

Tech architecture infographic titled "Redis Cache Invalidation" using REQUEST FLOW archetype for a non-technical executive audience. Show a left-to-right client-to-server flow with clearly labeled boxes and directional arrows in a simple, business-friendly layout: Browser, API Server, Redis Cache, Primary Database, and Message Queue, plus a small generic Cloud boundary icon grouping backend components. Render each component as a labeled box with an icon, a canonical English name, and a one-line English role description: Browser — "User client sending read/write requests"; API Server — "Processes requests and controls cache usage"; Redis Cache — "Stores hot data for fast repeated reads"; Primary Database — "Source of truth for persistent records"; Message Queue — "Carries invalidation events to update cache state". Show technically accurate request flow for cache invalidation: Browser to API Server arrow labeled "HTTPS REST request"; API Server to Redis Cache arrow labeled "GET cache key"; Redis Cache to API Server arrow labeled "Cache hit: JSON value"; API Server to Primary Database arrow labeled "SELECT row" for cache miss path; Primary Database to API Server arrow labeled "Result set"; API Server to Redis Cache arrow labeled "SET key TTL"; API Server to Browser arrow labeled "200 OK JSON response". Also show write/update path: Browser to API Server arrow labeled "HTTPS PUT/POST"; API Server to Primary Database arrow labeled "UPDATE row"; Primary Database to API Server arrow labeled "Write confirmed"; API Server to Message Queue arrow labeled "Publish invalidation event"; Message Queue to Redis Cache arrow labeled "Invalidate key / DEL key"; optional API Server to Redis Cache arrow labeled "Refresh key"; API Server to Browser arrow labeled "200 OK" or "204 No Content". Make the distinction between cache hit, cache miss, and invalidation visually obvious with different arrow glow accents and small callout tags. Add a numbered legend 1-7 in English explaining the lifecycle: 1. User sends a read request from the browser. 2. API checks Redis for a cached value. 3. If cache hit, API returns data immediately. 4. If cache miss, API reads from the database. 5. API stores fresh data in Redis with TTL. 6. On data change, API writes to the database and publishes an invalidation event. 7. Redis deletes or refreshes the stale key so later reads get fresh data. Include a small side note box in English for exec clarity: "Goal: fast reads without serving stale data for long" and another note: "Illustrative reference flow, not an audited production architecture". Visual style: cyberpunk neon blended with warm beige and deep navy palette, glowing line accents, subtle grid background, high contrast but polished and executive-friendly, editorial developer-blog illustration, isometric or flat tech-diagram style, vector-clean infographic layout. No vendor branding, no AWS/GCP/Azure logos, only generic cloud icons. All text MUST be written in English (array). Every heading, label, caption, legend and metric name in the image must be in English — not English. Spell each English word correctly using English characters and diacritics. Numbers stay as digits, no real cloud-vendor logos (AWS / GCP / Azure) — use generic cloud icons, no watermarks No real cloud-vendor logos (AWS, GCP, Azure) beyond generic cloud icons. Common protocol names (HTTPS, TCP, JWT, OAuth, REST, GraphQL) stay in canonical English form. No security-claim overstatements (do not present diagrams as audited reference architectures).