LinkedIn's abuse prevention system CASAL evolved from a simple Oracle-based system to a sophisticated platform using NoSQL databases, off-heap memory, and specialized tools like DaVinci and Venice. Th
e system handles millions of queries per second while maintaining ultra-low latency and high availability to protect LinkedIn's professional environment.
Reasons to Read -- Learn:
how LinkedIn scaled its security infrastructure from handling basic restrictions to processing 4-5 million queries per second with less than 5ms latency
practical trade-offs and evolution in distributed systems design, including real-world implementation of CAP theorem principles and memory management strategies
how LinkedIn tackled critical engineering challenges through three generations of architecture, providing insights into scalable security system design
author: ByteByteGo
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