How LinkedIn Uses Cassandra
5 engineering articles about Cassandra from LinkedIn's engineering team
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The article discusses the challenges of managing software dependencies at scale within LinkedIn's engineering environment, which includes over 10,000 separate software codebases.
The article discusses the engineering challenges and solutions involved in scaling contextual conversation suggestions for LinkedIn's messaging platform, which serves over 500 million members.
Haiyang Liu
13 min read
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This article discusses the challenges of data access in high-scale stream processing, particularly focusing on the read/write and read-only data access patterns.
The article discusses the design of SSD-friendly applications to leverage the performance benefits of Solid State Drives (SSDs) over traditional Hard Disk Drives (HDDs).
The article discusses benchmarking Apache Kafka's performance, achieving 2 million writes per second on a modest hardware setup.
Jay Kreps
18 min read
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