LinkedIn faced challenges in scaling its platform as its user base and content grew. They adopted a distributed and partitioned graph system, built a search service using Lucene, and migrated to a service-oriented architecture. They also used caching and implemented data collection with Kafka. Additionally, LinkedIn developed

16m read timeFrom blog.bytebytego.com
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10 Insights On Real-World Container Usage (Sponsored)Humble Beginning with LeoThe First Need of ScalingScaling LeoLatest articlesKilling Leo with Service-Oriented ArchitectureManaging Hypergrowth with CachingData Collection with KafkaScaling the Organization with InversionAdvanced Developments Around ScalabilityConclusionSPONSOR US

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