Design a Google News-like aggregator

Q: Design a Google News-like aggregator

This question evaluates system design skills for building a large-scale, multi-region news aggregation platform, assessing competencies in ingestion architecture, deduplication and clustering, indexing and retrieval, personalization and ranking, and operational concerns like monitoring, consistency, and compliance.

Q: How do I approach System Design interview questions?

System Design questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master system design interviews.

Q: What difficulty level is this interview question?

This is a hard difficulty System Design question, commonly asked during Onsite rounds at Rippling.

Q: What role is this question designed for?

This question is commonly asked for Software Engineer candidates at Rippling during technical interviews.

Question

System Design: News Aggregation Platform (Google News–like)

Context

Design a multi-region news aggregation platform that ingests content from many publishers and serves near-real-time feeds to users on web/mobile. The system must support both pull-based crawling (RSS/Sitemaps) and push-based publisher updates, and provide deduped, categorized, and personalized news feeds with strong operational guardrails.

Requirements

Ingestion Layer
- Publisher onboarding and authentication (domain verification, keys/tokens)
- Source discovery and scheduling (RSS/Atom, Sitemaps, crawl cadence)
- Politeness and rate limiting (robots.txt, per-host concurrency, backoff)
- Fetcher architecture (distributed, retries, content negotiation)
- Schema normalization and enrichment (canonicalization, text extraction, language detection, category tagging)
- Deduplication and near-duplicate clustering (story grouping)
- Near-real-time updates and historical backfill
- Idempotency and exactly-once semantics across retries and replays
- Retry strategies and error handling (transient vs permanent)
- Spam/abuse filtering
- Copyright and robots compliance
- Monitoring, alerting, and auditing
Storage and Retrieval
- Article store (raw and normalized), versioning
- Indexing for search and feed retrieval
- Feed generation (global, topic, locale, personalized)
- Personalization and ranking
- Freshness and caching
Cross-Cutting Specifications
- APIs (publisher/admin, ingestion webhooks, consumer feeds/search)
- Data models (Publisher, SourceFeed, Article, Cluster, Events, etc.)
- Consistency guarantees
- Multi-region scalability and partitioning
- SLAs/SLOs
- Capacity estimates and scaling plan

Design a Google News-like aggregator

Quick Overview

System Design: News Aggregation Platform (Google News–like)

Context

Requirements

Solution

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