Low Level Design: Autonomous Vehicle Fleet Management
Autonomous vehicle fleet management sits at the intersection of real-time embedded systems, cloud infrastructure, and safety-critical engineering. This LLD covers […]
Autonomous vehicle fleet management sits at the intersection of real-time embedded systems, cloud infrastructure, and safety-critical engineering. This LLD covers […]
Real-time traffic routing is one of the canonical systems design problems — and also one of the most algorithm-heavy LLD
A sports betting platform is one of the harder LLD problems because it combines real-time odds management, strict financial controls,
A coupon distribution service needs to handle bulk code generation, targeted delivery, safe redemption, and fraud prevention at scale. This
An e-learning platform must handle course catalogues, student enrollment, video delivery, quizzes, and certificates at scale. This low level design
A movie theater booking system must handle concurrent seat selection, pricing rules, and ticket lifecycle from browse to cancellation. This
A crowdfunding platform must coordinate campaign lifecycle, pledge collection, payment authorization, and backer communication — with significantly different flows depending
A customer support ticket system coordinates incoming requests across channels, routes them to the right agents, enforces SLAs, and provides
A library management system handles catalog browsing, checkouts, returns, reservations, and fines. This low level design covers the core schemas
Airline reservation systems are among the most demanding transactional workloads: thousands of concurrent seat holds, strict inventory partitioning by fare
A device fingerprinting service identifies and tracks devices across sessions without relying on cookies or stored identifiers. It is a
A QR code generation service must handle encoding, error correction, output formats, and at scale — bulk generation for campaigns,
A barcode scanner service must handle multiple symbologies, noisy real-world images, fast mobile frame processing, and integration with product catalogs.
An OCR service must handle raw document images, extract structured text, assess confidence, and process jobs asynchronously at scale. Here
Autocorrect differs from a spell checker in intent: rather than flagging errors for the user to fix, it silently replaces