AWS

Connecting to Linux Instance from Windows Using PuTTY

convert AWS .pem to .ppk for putty/WinSCP

What is Amazon EC2? - Amazon Elastic Compute CloudAmazon Elastic Compute Cloud

To convert your private key

Start PuTTYgen (for example, from the Start menu, choose All Programs > PuTTY > PuTTYgen).
Under Type of key to generate, choose RSA.
If you're using an older version of PuTTYgen, choose SSH-2 RSA.
Choose Load. By default, PuTTYgen displays only files with the extension .ppk. To locate your .pem file, select the option to display files of all types.
Select your .pem file for the key pair that you specified when you launched your instance, and then choose Open. Choose OK to dismiss the confirmation dialog box.
Choose Save private key to save the key in the format that PuTTY can use. PuTTYgen displays a warning about saving the key without a passphrase. Choose Yes.
Note
A passphrase on a private key is an extra layer of protection, so even if your private key is discovered, it can't be used without the passphrase. The downside to using a passphrase is that it makes automation harder because human intervention is needed to log on to an instance, or copy files to an instance.
Specify the same name for the key that you used for the key pair (for example, my-key-pair). PuTTY automatically adds the .ppk file extension.

Your private key is now in the correct format for use with PuTTY. You can now connect to your instance using PuTTY's SSH client.

Check Opened/Closed port

-l or --listening shows only the sockets currently listening for incoming connection.
-a or --all shows all sockets currently in use.
-t or --tcp shows the tcp sockets.
-u or --udp shows the udp sockets.
-n or --numeric shows the hosts and ports as numbers, instead of resolving in DNS and looking in /etc/services.

netstat -atn           # For tcp
netstat -aun           # For udp
netstat -atun          # For both

Check which specific processes (Python scripts) are running

pgrep -lf python

This, however, does not list the whole command line. If you have a recent version of pgrep you can use -a to do this:

pgrep -af python

Kill running processes

e.g. Kill all running python processes

pkill -9 python

Python Installation

In order to use "sudo pip XXX"

sudo apt-get update
sudo apt-get install python-pip

sudo pip install XXX

Running a Flask app on AWS EC2

https://www.datasciencebytes.com/bytes/2015/02/24/running-a-flask-app-on-aws-ec2/

Running a Flask app with Linux startup

Create service configuration

sudo nano /etc/init/flask.conf

/etc/init/flask.conf

description "flask"

start on stopped rc RUNLEVEL=[2345]
respawn
exec python /home/user/server.py

Create flask.service

sudo nano /lib/systemd/system/flask.service

flask.service

[Unit]
Description=Flask web server

[Install]
WantedBy=multi-user.target

[Service]
User=root
Group=root
PermissionsStartOnly=true
ExecStart=/usr/bin/python3 /home/ubuntu/NLPv3/main.py
TimeoutSec=600
Restart=on-failure

Run flask.service

sudo systemctl start flask
sudo systemctl stop flask
sudo systemctl status flask

REF:

Run script at startup in /etc/init.d/Ask Ubuntu

sudo systemctl start flask.

REF:

Python 启动/停止脚本（后台服务）_python sh start stop-CSDN博客blog.csdn.net

How to Deploy the Flask app as Ubuntu serviceMedium

Running Python in AWS Lambda

https://stackoverflow.com/questions/53686252/api-gateway-lambda-proxy-python-internal-server-error

Example Code

Last updated 5 years ago