aws-ssh | SSH into your AWS EC2 instances with ease | AWS library
kandi X-RAY | aws-ssh Summary
kandi X-RAY | aws-ssh Summary
SSH into your AWS EC2 instances with ease!
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Top functions reviewed by kandi - BETA
- Print command line arguments
- Find project by path
- Save configuration to file
- Save project configuration
- Parse command line arguments
- Create a project
- Finds the project config file
- Prompt for an argument
- Load a config file
- Return an argument parser
- Get project properties from arguments
- The username of the instance
- Get instance configuration
- Set instance configuration
- SSH to the given instance
- Get an instance
- Returns the username of the project
- Get EC2 instance info
- Get a boto3 session
aws-ssh Key Features
aws-ssh Examples and Code Snippets
Community Discussions
Trending Discussions on aws-ssh
QUESTION
I have two account on AWS
and by both of them I uploaded my projects using code-commit
to ELB
one of the step of connect to code-commit
by SSH key to put SSH key ID
in config file like this:
ANSWER
Answered 2020-Sep-26 at 17:39I think this forum thread covers it - https://forums.aws.amazon.com/message.jspa?messageID=710983#710983 , check this anwser.
QUESTION
I downloaded the ssh key file aws-ssh-key.pem.txt
to my Mac and moved it to my .ssh directory using
ANSWER
Answered 2017-Jul-02 at 09:06aws-ssh-key.pem.txt doesn't have .txt extension.
Private key downloaded form AWS Console must have .pem extension. Also .pem file have only read permission for Owner only. You can assign that permission by sudo chmod 400 aws-ssh-key.pem
Note: There is no need to move .pem key to ~/.ssh directory until and unless you want to add into ssh key pairs.
You can store .pem file in any safe directory and provide that path while ssh connection.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install aws-ssh
You can use aws-ssh like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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