What are the common mistakes in server scaling?
An example of an AI chatbot conversation about common mistakes in server scaling.
What are the common mistakes in server scaling?
Some common mistakes include over-provisioning resources, neglecting load testing, and failing to monitor performance.
Can you explain why over-provisioning is a mistake?
Over-provisioning can lead to unnecessary costs and resource wastage, as you're paying for more than you actually need.
What about load testing? Why is it important?
Load testing helps identify how your server performs under stress, ensuring it can handle peak traffic without crashing.
How can I effectively monitor server performance?
You can use monitoring tools like Prometheus or Grafana to track metrics such as CPU usage, memory, and response times.
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