•SYSTEM DESIGN
Walmart System Design Questions
7 distinct system design problems asked at Walmart from September 2025 to September 2026, merged from 7 candidate reports. Each one links to a full solution.
Sources: PracHub, LeetCode discussions. Sorted by how often the problem was reported at Walmart.
Design a Large-Scale Real-Time Temperature Collection System
Design a telemetry pipeline for a very large fleet of devices or sensors (e.g., millions of temperature sensors, GPUs, or IoT devices each reporting every few seconds). Devices may be offline and upload batched, late-arriving…
Design a Metrics Monitoring Dashboard
Design an internal metrics monitoring platform like Datadog or Prometheus. Agents on hosts and services emit metrics (counters, gauges, histograms with tags); the system ingests millions of data points per second, stores them as…
Design a Read- and Write-Heavy Product Catalog Service
Design a product catalog service for a large e-commerce marketplace that sustains heavy merchant writes (including bulk edits of millions of products and price updates) and very high user reads with low latency. Changes must…
Design an online ticket marketplace
Design an online ticketing system like Ticketmaster. Users browse and search events, view the seat map, select specific seats and hold them for about 5 minutes while completing payment, then receive tickets. Popular events cause…
Design a multi-carrier parcel delivery system
Design a parcel shipping system for an e-commerce platform that supports multiple carriers (UPS, USPS, FedEx). It should create shipments for orders, choose a carrier by cost, speed and constraints, buy labels through carrier…
Design Spring Boot for high availability and background work
Design a highly available deployment for a Spring Boot application behind a load balancer, plus resilient background processing for long-running tasks. Discuss stateless app instances, session handling, health checks, horizontal…
Design aggregator for multiple downstream services
Design an aggregator service that handles a client request by calling multiple downstream microservices in parallel (fan-out/fan-in) and combining their results, e.g., a product page that needs pricing, inventory, reviews and…
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