What are the common mistakes in auto-scaling setup?
An example of an AI chatbot conversation about common mistakes in auto-scaling setup.
What are the common mistakes in auto-scaling setup?
Some common mistakes include not setting proper scaling thresholds, ignoring cooldown periods, and not testing the setup.
Can you explain why cooldown periods are important?
Cooldown periods prevent the system from scaling up or down too quickly, which can lead to instability and resource waste.
What happens if I don't test my auto-scaling setup?
If you don't test it, you might face unexpected behavior during traffic spikes, leading to downtime or performance issues.
How can I effectively monitor my auto-scaling?
You can use monitoring tools to track metrics like CPU usage, memory, and response times to ensure your scaling is effective.
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