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EP150: 12 Algorithms for System Design Interviews

ByteByteGo

ByteByteGo

Alex Xu • Published 4 months ago • 1 min read

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EP150: 12 Algorithms for System Design Interviews

This ByteByteGo newsletter issue focuses on key algorithms and technologies relevant to system design interviews, including garbage collection in Java, Python, and Go, Kubernetes architecture, PostgreSQL database internals, and API security best practices. It also highlights 12 essential algorithms for system design, such as Bloom Filters, Consistent Hashing, and Raft, along with their practical applications. The content provides a concise yet comprehensive overview of these topics, making it a valuable resource for technical professionals preparing for interviews or enhancing their system design knowledge.

Core Technical Concepts/Technologies Discussed:

  1. Garbage Collection (Java, Python, Go)
  2. System Design Algorithms (Bloom Filter, Geohash, HyperLogLog, Consistent Hashing, Merkle Tree, Raft, Lossy Count, QuadTree, Operational Transformation, Leaky Bucket, Rsync, Ray Casting)
  3. Kubernetes Architecture (Control Plane, Worker Nodes, API

Bloom Filter: Check if a requested item is in the cache before performing disk operations.

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