ssh

问题 I'm logging into to a remote ssh session using plink.exe to perform certain tasks using a batch script. Getting the output of these commands in a log file as well on the screen is very important for me. I tried using usual batch way i.e. plink servername -m cmd.txt>logfile.log way but the problem with this is that it won't display it on the Windows terminal that the batch script is running on. Then I found the -sshlog option of Plink. This does the work, i.e. I can get the output but on

问题 I would like to understand the concept of SSH tunneling in detail as I am learning a few things around this topic. I have gone through some details in public forum but still got a few questions. An SFTP service is running in a remote server and I have been given credentials to connect to it. I am using GUI like WinScp to connect the remote server. What's the role of SSH tunneling here? Remote SFTP Server admin asked me to generate RSA public key from my machine and its added to the remote

问题 I would like to understand the concept of SSH tunneling in detail as I am learning a few things around this topic. I have gone through some details in public forum but still got a few questions. An SFTP service is running in a remote server and I have been given credentials to connect to it. I am using GUI like WinScp to connect the remote server. What's the role of SSH tunneling here? Remote SFTP Server admin asked me to generate RSA public key from my machine and its added to the remote

问题 I am trying to use ssh connecting to AWS "Deep Learning AMI for Amazon Linux", and everything works fine except Jupyter Notebook. This is what I got: ssh -i ~/.ssh/id_rsa ec2-user@yy.yyy.yyy.yy gave me Last login: Wed Oct 4 18:01:23 2017 from 67-207-109-187.static.wiline.com ============================================================================= __| __|_ ) _| ( / Deep Learning AMI for Amazon Linux ___|\___|___| The README file for the AMI ➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜ /home/ec2-user/src/README

问题 I am trying to use ssh connecting to AWS "Deep Learning AMI for Amazon Linux", and everything works fine except Jupyter Notebook. This is what I got: ssh -i ~/.ssh/id_rsa ec2-user@yy.yyy.yyy.yy gave me Last login: Wed Oct 4 18:01:23 2017 from 67-207-109-187.static.wiline.com ============================================================================= __| __|_ ) _| ( / Deep Learning AMI for Amazon Linux ___|\___|___| The README file for the AMI ➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜ /home/ec2-user/src/README

问题 I am trying to use ssh connecting to AWS "Deep Learning AMI for Amazon Linux", and everything works fine except Jupyter Notebook. This is what I got: ssh -i ~/.ssh/id_rsa ec2-user@yy.yyy.yyy.yy gave me Last login: Wed Oct 4 18:01:23 2017 from 67-207-109-187.static.wiline.com ============================================================================= __| __|_ ) _| ( / Deep Learning AMI for Amazon Linux ___|\___|___| The README file for the AMI ➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜➜ /home/ec2-user/src/README

问题 I am using golang 1.13 . I have a project that depends on a private gitlab project. I have the ssh keys for the same. When I try to retrieve the dependencies for a newly created module, I am getting the following error: $ go version go version go1.13 linux/amd64 $ go mod why go: downloading gitlab.com/mycompany/myproject v0.0.145 verifying gitlab.com/mycompany/myproject@v0.0.145: gitlab.com/mycompany/myproject@v0.0.145: reading https://sum.golang.org/lookup/gitlab.com/mycompany/myproject@v0.0

问题 I am using golang 1.13 . I have a project that depends on a private gitlab project. I have the ssh keys for the same. When I try to retrieve the dependencies for a newly created module, I am getting the following error: $ go version go version go1.13 linux/amd64 $ go mod why go: downloading gitlab.com/mycompany/myproject v0.0.145 verifying gitlab.com/mycompany/myproject@v0.0.145: gitlab.com/mycompany/myproject@v0.0.145: reading https://sum.golang.org/lookup/gitlab.com/mycompany/myproject@v0.0

问题 I have an Ipython Jupyter kernel running on in an AWS VPN that I tunnel to a port my laptop where I connect to with a browser. I am finding that the kernel dies whenever I lose the tunnel and I have to run my notebook from the beginning. What is the likely cause of this and how can I prevent it? It is only the notebook kernels that die, the notebook server stays up. 回答1: I admit that this seems odd. I wonder if there is something in the notebook that is killing the kernel. This can happen.

问题 I have an Ipython Jupyter kernel running on in an AWS VPN that I tunnel to a port my laptop where I connect to with a browser. I am finding that the kernel dies whenever I lose the tunnel and I have to run my notebook from the beginning. What is the likely cause of this and how can I prevent it? It is only the notebook kernels that die, the notebook server stays up. 回答1: I admit that this seems odd. I wonder if there is something in the notebook that is killing the kernel. This can happen.