Coinbase Engineering

Overview

Coinbase runs the largest US cryptocurrency exchange, where engineering has to absorb 50x traffic spikes during market-moving news while also reading and writing to public blockchains that have their own consensus latency. The blog's most distinctive content lives in three areas: ML-driven traffic prediction used to autoscale databases ahead of demand rather than chasing it, blockchain-aware fraud detection that scores wallet addresses by risk before approving a transaction, and the operational lessons of rolling out enterprise-grade GenAI inside a regulated financial product. For interviews, 'How Coinbase Uses ML to Predict Traffic and Scale Databases' is a strong reference for capacity-planning design questions, and 'Detecting Fraudulent Transactions at Coinbase' anchors fraud-detection discussions.

Interview questions

• What can I learn from Coinbase's engineering blog?
• Which Coinbase posts are most useful for capacity-planning interviews?
• Why is Coinbase's blog valuable for fraud and notification interviews?

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