Author name: techinterview.org

⏱ 7 min read Log Ingestion Pipeline Every host in the fleet runs a lightweight log shipping agent. Filebeat or Fluent Bit tails log […] Read article

⏱ 7 min read Metric Types Prometheus defines four core metric types. Counter: a monotonically increasing integer that never decreases except on process restart. Read article

⏱ 8 min read Low level design of an e-commerce platform requires thinking through a wide surface area: how products are modeled and indexed, Read article

⏱ 5 min read Flag Data Model The core schema for a feature flag system is a flags table with these fields: flag_key (unique Read article

⏱ 8 min read Order Book Structure The order book is the central data structure of any trading system. It maintains two sides: the Read article

⏱ 9 min read Video streaming at scale involves multiple specialized subsystems working in tight coordination: upload pipelines, real-time transcoding, adaptive bitrate delivery, content Read article

⏱ 10 min read Live streaming is fundamentally harder than video-on-demand: there is no pre-encoded content to cache, latency between broadcaster and viewer must Read article

⏱ 12 min read Chunked Upload Protocol Uploading large files over HTTP without chunking is fragile. A 4GB video file uploaded in a single Read article

⏱ 12 min read Vertex-Centric Computation The Pregel model, introduced by Google in 2010, reimagines distributed graph computation around the vertex as the unit Read article

⏱ 11 min read Distributed locks appear deceptively simple — acquire a lock, do some work, release it — but implementing them correctly in Read article

⏱ 11 min read DNS Hierarchy: Root, TLD, and Authoritative Nameservers The Domain Name System is a globally distributed hierarchical database organized as an Read article

⏱ 7 min read Introduction Consistent hashing assigns keys to nodes such that adding or removing a node remaps only K/N keys on average, Read article

⏱ 6 min read Introduction Zero trust replaces implicit perimeter-based trust with continuous verification. The core principle is: never trust, always verify. Every request Read article

⏱ 6 min read Introduction RAG (Retrieval-Augmented Generation) grounds LLM responses in retrieved external knowledge. By injecting relevant retrieved context into the prompt, RAG Read article

⏱ 6 min read Introduction Serving large language models (GPT-4, Llama) requires specialized infrastructure for low latency, high throughput, and GPU memory management. The Read article