How to Install and Uninstall google-compute-engine Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 04,2024

1. Install "google-compute-engine" package

This guide covers the steps necessary to install google-compute-engine on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install google-compute-engine

2. Uninstall "google-compute-engine" package

Please follow the steps below to uninstall google-compute-engine on Ubuntu 16.04 LTS (Xenial Xerus):

$ sudo apt remove google-compute-engine $ sudo apt autoclean && sudo apt autoremove

3. Information about the google-compute-engine package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: google-compute-engine
Architecture: all
Version: 20201222.00-0ubuntu2~16.04.0
Priority: optional
Section: universe/admin
Source: gce-compute-image-packages
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Daniel Watkins
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 72
Provides: irqbalance
Depends: google-compute-engine-oslogin (>> 20190801), google-guest-agent, nvme-cli
Recommends: google-cloud-sdk, rsyslog | system-log-daemon
Suggests: libpam-cracklib
Conflicts: gce-cloud-config, gce-compute-image-packages (<< 20191115), gce-daemon, gce-startup-scripts
Replaces: gce-cloud-config, gce-compute-image-packages (<< 20191115), gce-daemon, gce-startup-scripts
Filename: pool/universe/g/gce-compute-image-packages/google-compute-engine_20201222.00-0ubuntu2~16.04.0_all.deb
Size: 12854
MD5sum: 6f1487cce3c93a0a9fdedb2367df96c1
SHA1: fca831e0fa205d3dfe57f4c3e21cb5949838e22b
SHA256: 24efd4496ad7f4229ab84b2696125b34b00dae78c20cd638000a3ccb0c061d90
SHA512: 163502d85bb98ea4285ace6c0bcaf6aaf503cb6fa174db0547219aff8c98de604553e36e19f7560aab449b66e0c4b0008649b7e06604d6ea343979f2ffa9c319
Homepage: https://github.com/GoogleCloudPlatform/compute-image-packages
Description-en: Google Compute Engine guest environment.
This package contains scripts and configuration files for
features specific to the Google Compute Engine cloud environment.
Description-md5: 3d02273d24f60afb7027868edacd1b20