What are the costs associated with deploying JupyterHub in the cloud?
The costs of deploying JupyterHub in the cloud can vary based on several factors, including the cloud provider, instance types, and usage patterns.
Can you break down the costs for AWS and Azure?
Sure! On AWS, you might pay for EC2 instances, S3 storage, and data transfer. On Azure, costs include virtual machines, storage, and bandwidth.
What instance types are recommended for a small team?
For a small team, t2.medium on AWS or B1s on Azure are good starting points, balancing cost and performance.
Are there any hidden costs I should be aware of?
Yes, consider costs for data transfer, backups, and potential scaling needs, as these can add up over time.
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