alexstaravoitau

#!/bin/bash

# Connects to remote server, mounts its file system or attaches to a tmux session.

USER="tom"
SERVER="$USER@10.23.45.67:8989"
LOCAL_KEY_PATH="/Users/tom/ssh_keys/key"
LOCAL_MOUNT_PATH="/Users/tom/mount/"

if [ $# -eq 0 ]; then

alexstaravoitau

#!/bin/bash

# Checks current AWS instance state and stops it if it's running.

AWS_INSTANCE_ID="<Your instance ID here>"

AWS_STATE=$(aws ec2 describe-instances --instance-ids $AWS_INSTANCE_ID --query "Reservations[*].Instances[*].State.Name" --output text)
if [ "$AWS_STATE" == "running" ]; then
	aws ec2 stop-instances --instance-ids $AWS_INSTANCE_ID >/dev/null
	echo -n "The AWS instance is now stopping. It usually takes a while, so feel free to CTRL+C if you don't want to wait till the instance has fully stopped."

alexstaravoitau

#!/bin/bash

# Starts your AWS instance, connects via SSH and launches Chrome with the remote Jupyter Notebook page open.
# Usage is as follows:
# 1. Run this script, so that Chrome has launched and SSH connection is established.
# 2. Execute 'jupyter notebook' on the AWS instance.
# 3. Reload the page in Chrome and log in to Jupyter Notebook.
#
# Note: we use Chrome, as there's a known issue with Safari that won't let Jupyter Notebook connect to a remote kernel.
#