Distributed Web Crawler

Design a high-performance, distributed web crawler capable of processing billions of pages monthly. Your solution must address the complexities of URL discovery, domain-level politeness (rate limiting), deduplication of trillions of URLs, and efficient storage of petabytes of HTML content. Explain how you would handle DNS resolution bottlenecks, spider traps, and the architectural trade-offs between crawl freshness and politeness compliance.

KafkaRedisS3NoSQLBloom FilterGoCassandraZstandardDNS Resolver

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Distributed Web Crawler Design

Design a globally distributed web crawler capable of indexing 1 billion pages per day. The system must address the challenges of URL discovery at scale, ensuring 'politeness' to avoid overwhelming target servers, deduplicating content, and managing the storage of petabytes of data. Explain how you would handle DNS resolution bottlenecks, prioritize URLs based on 'freshness' requirements, and ensure the system is resilient to network failures or worker crashes.

KafkaCassandraRedisS3Bloom FiltergRPCSimhashDNS Caching

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Scalable Web Crawler Design

Design a web crawler capable of processing 1 billion URLs per month. The system should automatically discover new links, store the page content for future indexing, and strictly adhere to politeness constraints (robots.txt and per-domain rate limits). Detail the architecture for the URL Frontier, deduplication strategy, and how you would handle distributed workers while maintaining scalability and fault tolerance.

KafkaS3RedisNoSQLCassandraBloom FilterKubernetesDNS Caching

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Scalable Web Crawler Design

Design a distributed web crawler capable of indexing 1 billion unique pages per month. The system must efficiently handle URL discovery, ensure domain-level politeness (respecting robots.txt), and implement robust deduplication strategies for both URLs and page content. Address how the system handles the massive scale of storage, network-bound fetching bottlenecks, and the prevention of infinite loops or spider traps.

KafkaRedisCassandraS3Bloom FiltergRPCSimHashNoSQLObject Storage

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Distributed Web Crawler

Design a globally distributed web crawler capable of processing and storing 15 billion URLs. The system must prioritize page freshness, strictly adhere to domain-level politeness (robots.txt and rate limits), and handle petabytes of HTML content. Address specific challenges such as URL deduplication at scale, avoiding spider traps, and optimizing DNS resolution for high-throughput fetching. Discuss the architectural trade-offs between crawl speed and server politeness.

KafkaCassandraRedisBloom FilterS3FlinkDNS CachinggRPC

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Scalable Distributed Web Crawler Design

Design a distributed web crawler capable of traversing and indexing the global web. The system must manage 10 billion+ documents monthly, ensuring strict adherence to politeness protocols (robots.txt), efficient URL deduplication, and high fault tolerance against spider traps and varied server behaviors. Discuss how you would handle URL prioritization and the trade-offs between storage costs and crawl freshness.

KafkaCassandraS3RedisBloom FilterGoSimHashDNS Caching

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Scalable Web Crawler Design

Design a distributed web crawler capable of processing 1 billion pages per month. The system should efficiently discover new URLs, handle duplicate content detection, respect robots.txt and politeness constraints, and store both raw HTML and metadata. Address challenges such as DNS resolution bottlenecks, URL frontier management, and fault tolerance at scale.