Add Peter to the ESIP JupyterHub on AWS

[rsignell-usgs]

The ESIP JupyterHub on AWS (https://jupyter.qhub.esipfed.org) is a great place to run workflows that analyze and visualize kerchunked data because:

• it runs on AWS in us-west-2, thus on very fast internet
• if the data being accessed is on AWS the performance is good and the data transmission (egress) costs are low for accessing requester-pays buckets. (and if the data is on AWS us-west-2, the costs are zero!
• you can easily scale up remote Dask clusters on demand to gain large data rates on chunked data
• there are conda environments already set up for this type of work

[rsignell-usgs]

@peterm790, I've added you to the authorized users list so you should be able to login with your github credentials at:

https://jupyter.qhub.esipfed.org/

When you join the ESIP Slack I'll give you bucket writing/reading credentials.

[peterm790]

Thanks @rsignell-usgs, will join the ESIP slack and reach out. I have succeeded in starting a small instance on the ESIP JupyterHub

[peterm790]

Just confirming I have managed to add the AWS credentials and access some requester pays data on aws.

[rsignell-usgs]

First issue complete!