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I've been using this for almost ten years now, so here are some of the ways I have set it up to be most productive.
See my taskrc below for implementation details.
In general, I've had the most success by keeping lists of tasks short and to the point, avoiding the anxiety of seeing 100 tasks and feeling like I'm going to drown.
Step by step guide to setup mosh ssh client to Google Cloud VM instance
A beginner's guide to setup Mosh roaming terminal on Mac to access Google Cloud Compute Engine instance
Being new to training ML models using Google Cloud VM instances, I faced issues where my ssh connection to the cloud instance (using either the clound web-based ssh client or using cloud shell) would disconnect from time to time (for example when I power off my laptop or the network gets disconnected) which would terminate the model training process. Therefore I searched for a ssh client that can handle disconnection and can resume connection without disrupting the process running on the server and came across with Mosh mobile shell, a remote terminal app that supports roaming.
It took me a while to figure out how to set up a third party ssh terminal using the google cloud OAuth. Here's a step-by-step guide:
Update: a simpler alternative for persisting remote sessions
Since this writing, another Mosh user kindly advised me that using terminal multiplexer co
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an auxiliary android shell script that keeps your Apps "staying" on your SD card after an update
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters