Data at Scale: A Practical Guide to Designing Distributed Systems That Stay Fast, Safe, and Simple
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Every engineer has a scar story about a distributed system failure—a replication lag that caused double payments, a misconfigured load balancer, or a cascading outage. Most of these problems are self-inflicted wounds from adopting complex patterns
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