Ubuntu
python-freezerclient package

python-freezerclient 5.0.0-2 source package in Ubuntu

Changelog

python-freezerclient (5.0.0-2) unstable; urgency=medium

  * Uploading to unstable.

 -- Thomas Goirand <email address hidden>  Fri, 23 Sep 2022 14:12:46 +0200

Upload details

Uploaded by:
Debian OpenStack
Uploaded to:
Sid
Original maintainer:
Debian OpenStack
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe misc

Builds

Lunar: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-freezerclient_5.0.0-2.dsc 2.5 KiB a1c62f38bbd39f6e409aaa21451e7c53957d6f3526b4090e782ddcb8095fb205
python-freezerclient_5.0.0.orig.tar.xz 34.0 KiB 24568b540e212f2149385904533388f9df3b2fd1603b2cecf1eaa6a6064ab6fe
python-freezerclient_5.0.0-2.debian.tar.xz 2.7 KiB 253b617e01957747cead999bdfb227c2917b435e8989bebc4aacaec22c7a7ba0

Available diffs

No changes file available.

Binary packages built by this source

python-freezerclient-doc: OpenStack backup restore and disaster recovery service - doc files

 Freezer is a distributed backup restore and disaster recovery as a service
 platform. It is designed to be multi OS (Linux, Windows, OSX, *BSD), focused
 on providing efficiency and flexibility for block based backups, file based
 incremental backups, point-in-time actions, jobs synchronization (i.e.
 backup synchronization over multiple nodes) and many other features.
 It is aimed at being useful for all environments, including large
 ephemeral Clouds.
 .
 This package contains the documentation.

python3-freezerclient: OpenStack backup restore and disaster recovery service - client files

 Freezer is a distributed backup restore and disaster recovery as a service
 platform. It is designed to be multi OS (Linux, Windows, OSX, *BSD), focused
 on providing efficiency and flexibility for block based backups, file based
 incremental backups, point-in-time actions, jobs synchronization (i.e.
 backup synchronization over multiple nodes) and many other features.
 It is aimed at being useful for all environments, including large
 ephemeral Clouds.
 .
 This package contains the Python 3.x module.