What are common mistakes to avoid when scaling a backend?
An example of an AI chatbot conversation about common mistakes in scaling backend systems.
What are common mistakes to avoid when scaling a backend?
Some common mistakes include not planning for load, neglecting database optimization, and ignoring monitoring.
Can you elaborate on database optimization?
Sure! Database optimization involves indexing, query optimization, and choosing the right database architecture.
What about load testing? How important is it?
Load testing is crucial as it helps identify bottlenecks and ensures your system can handle expected traffic.
Are there tools you recommend for load testing?
Yes, tools like Apache JMeter, Gatling, and LoadRunner are popular for effective load testing.
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