Trie and String Algorithm Interview Patterns
Tries (prefix trees) and string algorithms appear in autocomplete, spell checking, IP routing, and competitive programming. Mastering trie construction and […]
Tries (prefix trees) and string algorithms appear in autocomplete, spell checking, IP routing, and competitive programming. Mastering trie construction and […]
Recommendation systems power product discovery at Netflix, Spotify, Amazon, and LinkedIn. Designing one at scale involves a multi-stage architecture that
Designing a distributed file system (DFS) like HDFS, Google File System, or Amazon S3 is a classic system design interview
When to Use a Heap A heap (priority queue) is the right data structure when you need: the minimum or
Dispatch System Requirements A ride-sharing dispatch system matches riders with nearby available drivers in real time. Core requirements: find available
Beyond Basic DP Once you’ve mastered 1D/2D tabulation and memoization (Fibonacci, LCS, Knapsack, Coin Change), advanced interview problems require recognizing
WebRTC Architecture Overview WebRTC (Web Real-Time Communication) is an open standard that enables peer-to-peer audio and video in browsers and
Social Graph Requirements A social graph stores relationships between users (friendships, follows, connections) and enables graph queries: friends of friends,
Exchange Architecture Overview A financial exchange matches buy and sell orders — a buyer willing to pay $100 for AAPL
Notification System Requirements A notification system routes messages from producers (application events) to consumers (users) via multiple channels: push notifications
Why Task Queues? Task queues decouple work production from work execution. Instead of processing a long-running task synchronously (blocking the
Why Indexing Matters Without an index, a SELECT with a WHERE clause requires a sequential scan — reading every row
The Collaboration Problem Real-time collaborative editing lets multiple users edit the same document simultaneously with all changes visible to all
Why Rate Limiting? Rate limiting protects services from overload, abuse, and cost explosions. Without it: a single misbehaving client can
Why Log Aggregation? With hundreds of microservices each running multiple replicas, logs are scattered across thousands of containers. Without centralized