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The system continues to operate despite an arbitrary number of messages being dropped or delayed by the network.

Start with the basics: Consistent Hashing and Load Balancing. Move to the case studies: YouTube and Uber. Finally, practice the trade-offs every day. gaurav sen system design

: Is your system resilient to server crashes? Have you eliminated single points of failure using replication? Scalability : Can your system handle a The system continues to operate despite an arbitrary

Gaurav Sen's content is designed for a wide range of software engineers: Finally, practice the trade-offs every day

: You cannot stream 4K video from a centralized data center to millions of global users without massive latency. CDNs place proxy servers close to users geographically to cache popular video files.

Adding more machines to your pool. This is the backbone of modern distributed systems and introduces the need for load balancers. 2. The Power of Load Balancers

: Are you using caching, CDNs, and efficient database indexes to keep response times as low as possible?