This chapter covers search engine scale: web pages indexed, queries per second, index freshness requirement, latency SLA.

This chapter covers key questions: breadth vs depth crawling, index freshness, ranking model, query parsing, personalization.

This chapter covers single-machine inverted index with in-memory index — why it runs out of memory at web scale.

This chapter covers distributed crawler, MapReduce-based index builder, distributed query serving tier with caching.

This chapter covers two approaches: batch index rebuild vs incremental real-time indexing — trade-offs in freshness and complexity.

This chapter covers how Google's MapReduce and Bing's indexing pipelines handle web-scale search indexing.

This chapter covers crawler politeness with robots.txt, distributed index with document routing, query latency percentile tracking.

This chapter covers index poisoning from spam pages, crawler trap on infinite pagination, index lag causing stale results.