What are the common mistakes to avoid when scaling servers?
An example of an AI chatbot conversation about common mistakes in scaling servers.
What are the common mistakes to avoid when scaling servers?
Some common mistakes include not planning for traffic spikes, neglecting load balancing, and failing to monitor performance.
Can you elaborate on the importance of load balancing?
Load balancing distributes incoming traffic across multiple servers, ensuring no single server becomes a bottleneck.
What tools can help with monitoring server performance?
Tools like Prometheus, Grafana, and New Relic are great for monitoring server performance and identifying issues.
How can I prepare for unexpected traffic spikes?
You can use auto-scaling features, implement caching strategies, and conduct load testing to prepare for unexpected spikes.
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