About This Architecture

Request flow diagram showing a React frontend querying a NestJS API with intelligent cache-checking logic. The API evaluates cache hit status and routes requests to Redis for cached data or PostgreSQL for database queries. This pattern reduces database load and latency by serving frequently accessed data from in-memory cache. Fork this diagram on Diagrams.so to customize for your tech stack, add error handling paths, or document cache invalidation strategies. The architecture demonstrates a common optimization technique for production applications handling high request volumes.

People also ask

How do you implement a cache-checking request flow in a NestJS API with Redis and PostgreSQL?

This diagram shows a React app sending requests to a NestJS API that checks Redis cache first before querying PostgreSQL. The cache hit decision routes data retrieval to either the in-memory cache for fast responses or the database for cache misses, reducing latency and database load.

User Request Flow With Cache Check

AutointermediateNestJSRediscachingfull-stackrequest-flowperformance-optimization
Domain: Software ArchitectureAudience: full-stack developers implementing caching strategies in Node.js applications
1 views0 favoritesPublic

Created by

July 28, 2026

Updated

August 8, 2026 at 1:06 PM

Type

flowchart

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