Senior engineer at a top internet giant, sharing Java, AI, tech knowledge, growth insights, and interview experiences.
The article breaks down how Weibo’s backend was engineered to sustain 100,000 queries per second during traffic surges by first quantifying load, then using a push‑pull hybrid feed, a four‑tier cache funnel, and user‑ID sharding with write throttling.
The article explains that a shopping cart can tolerate loss of recent writes but not accumulated items, outlines the data model with seven fields and a unique key, compares client‑side storage options, details merge strategies for guest and logged‑in carts, and evaluates Redis, MySQL, and hybrid solutions with concrete trade‑offs.
The article presents a real‑world case of a ride‑hailing system whose microservices became tangled, and shows how applying Domain‑Driven Design—through strategic design, a six‑step refactoring roadmap, tactical four‑layer architecture, and context mapping—can systematically restore clean, business‑driven services.
The article breaks down how QuickTok supports 30 million concurrent video streams by calculating QPS, storage and bandwidth needs, then applying HDFS with HBase indexing and aggressive CDN pre‑warming to shrink traffic from 88 Tbps to under 4 Tbps.
The article breaks down a real‑world architecture for a short‑URL service that must handle 12 billion entries and 40 k QPS, showing how to calculate capacity, compare generation algorithms, use Bloom filters for offline de‑duplication, and employ a three‑layer cache‑plus‑storage design to meet performance goals.
When an education company faced 50,000 concurrent re‑registration requests, its monolithic internal‑external architecture collapsed, but by physically separating networks, enforcing gateway rate‑limiting and circuit‑breaking, pre‑loading data into Redis, and using one‑way Kafka streams, the system remained stable.
By consolidating authentication, caching, and fault‑tolerance logic into a properly chosen API gateway, teams can eliminate duplicated SDK changes, cut backend QPS dramatically, and turn costly release windows into seamless upgrades, effectively reducing development effort by up to 50%.
When a live broadcast suddenly attracts 500,000 viewers, the system faces 100,000 QPS likes and rapid reward transactions; this article breaks down a battle‑tested traffic‑splitting architecture—room‑based sharding, queue buffering, multi‑layer write caching, and consistent‑hash sharding—showing how each component controls load, ensures consistency, and enables seamless scaling.
The article explains how Elasticsearch achieves sub‑second search over billions of log entries by combining sharding, immutable segment writes, a three‑layer inverted index, and a two‑phase query‑then‑fetch process that distributes work across nodes.
This article breaks down the end‑to‑end design of a high‑traffic red‑envelope service, covering its three‑stage lifecycle, a fair double‑mean allocation algorithm, the need to separate grabbing from settlement, and how Redis, Lua scripts, and message queues handle massive concurrent requests.
