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Case Study: Scaling a Node.js API During Black Friday
May 4, 2024
5 min read
P
Portfolio OwnerIn this article
- The database is usually the bottleneck, not Node.
- Aggressive caching prevents unnecessary DB reads.
- Stress test your system before the real traffic hits.
In e-commerce, Black Friday is the final exam. Last year, our Node.js backend faced a traffic surge that maxed out our database connections within minutes. We didn't solve it by adding more servers; we solved it by fixing our code. This case study details how we implemented Redis caching for product catalog endpoints and optimized our Postgres connection pool settings to survive the weekend without downtime.
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Introduction
Key Takeaways
Detailed Analysis
Conclusion
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Related Topics
#Backend#Node.js#Scalability#DevOps
Perfect For
- Backend Developers
- DevOps Engineers
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#Backend#Node.js#Scalability#DevOps
