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How LinkedIn Uses Redis

10 engineering articles about Redis from LinkedIn's engineering team

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LinkedIn
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The article discusses LinkedIn's journey in evolving its professional community policies enforcement at scale, focusing on the development of its anti-abuse platform and account restriction systems.
Amit M.
17 min read
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LinkedIn
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The article discusses Metal as a Service (MaaS), an internal tool developed by LinkedIn to manage server lifecycles at scale.
LinkedIn Engineering Team
17 min read
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LinkedIn
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The article discusses LinkedIn's Distributed Firewall (DFW), a host-level firewalling system designed to manage extensive firewall rules across a vast network of hosts.
LinkedIn Engineering Team
10 min read
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LinkedIn
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The article discusses the evolution of LinkedIn's infrastructure and the decision-making processes behind replacing critical systems.
Adam Heller
10 min read
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LinkedIn
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The article discusses LinkedOut, a request-level failure injection framework developed by LinkedIn to enhance resilience engineering.
Logan Rosen
12 min read
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LinkedIn
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The article discusses the complex migration of SlideShare's technology stack to LinkedIn's data centers, highlighting the challenges faced and the strategies employed to ensure a seamless transitio...
Anatoly S.
9 min read
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LinkedIn
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The article discusses the importance of monitoring LinkedIn's API health and the development of API-Analyzer, a tool designed to enhance real-time monitoring and troubleshooting of API issues.
LinkedIn Engineering Team
9 min read
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LinkedIn
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The article discusses the significance of the log as a fundamental abstraction in real-time data systems, emphasizing its role in distributed systems, data integration, and stream processing.
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LinkedIn
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The article discusses the integration of Apache Helix and Apache YARN for auto-scaling distributed systems, detailing how this combination enhances service deployment, resource allocation, and faul...
Alexander Pucher
10 min read
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LinkedIn
Intermediate
The article provides ten performance optimization tips for Node. js applications, specifically derived from LinkedIn's mobile server experience.

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