freezer-api 12.0.0-1 source package in Ubuntu

Changelog

freezer-api (12.0.0-1) unstable; urgency=medium

  * New upstream release.

 -- Thomas Goirand <email address hidden>  Wed, 30 Mar 2022 21:19:52 +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

Builds

Kinetic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
freezer-api_12.0.0-1.dsc 2.8 KiB 22cb9f874bbc52b09becd28d88bb0a030cd2fe6aecfbcc1eb79be337d67769bb
freezer-api_12.0.0.orig.tar.xz 98.7 KiB e4f43e9b34b6b5ba0de096720ce5f4c421702d9d0d2d2f1fafa238dfae589196
freezer-api_12.0.0-1.debian.tar.xz 6.7 KiB 5c3cfff7f166fcd1cc82fe3de02c4722f02a2d068d3181cdc3ade7ae436b10bd

Available diffs

No changes file available.

Binary packages built by this source

freezer-api: OpenStack backup restore and disaster recovery service - common 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 daemons.

freezer-api-doc: No summary available for freezer-api-doc in ubuntu kinetic.

No description available for freezer-api-doc in ubuntu kinetic.

python3-freezer-api: OpenStack backup restore and disaster recovery service - Python 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 libraries.