dsh is a parallel distributed shell. dsh is a full replacement for the IBM PSSP 3.5 dsh with the exception of the SP2 specific node constructs being replaced with NIS support. dsh supports rsh, kerberized rsh, ssh or any other command.
* Welcome
- This package send remote commands in the nodes based on SSH communication.
* Support:
The Support Service is FREE. Do you need support?
Open a ticket and I will get back to you as soon as possible.
* Professional Services:
Do you need any FREE professional services to use?
Open a ticket as "FAQ request" and I will get back to you as soon as possible.
i.e: subject: [FAQ] connect mysql db
* CAUTION
- Sending unexpected commands (with or without 'root'...
A utility for parallelizing the execution of shell functions.
PRLL HAS MOVED TO GITHUB
https://github.com/exzombie/prll
A utility for parallelizing the execution of shell functions. Focuses on convenience in interactive use, but is just as usable in shell scripts. Put your multicore to good use, or combine prll with ssh to create an instant cluster.
PuSSH is Pythonic, Ubiquitous SSH, a Python wrapper/script that runs commands in parallel on clusters/ranges of linux/unix machines via SSH, ideally where SSH is configured to use Kerberos, RSA/DSA keys, or ssh-agent as to avoid password authentication.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
PyDSH is a remote administration tool, consisting of pydsh and pydcp. Pydsh allows you to run a command on multiple hosts in parallel over RSH, SSH or Telnet, OR manage your SSH public keys. The pydcp command allows copying files to/from multiple hosts.
This tool lets you login with SSH to a group of machines and interact with them as if they were one machine. Each command that you enter is run in parallel on all machines in the group. The output from each machine is printed separately.