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This tool is featured with a very high compression mechanism hence useful in backing up large sized folders over a slow network, Or useful in reducing the backup size to a maximum possible.
For detailed help, please refer to http://blogger.iamamazing.in/2016/01/automate-backup-with-python-script.html
Old version of https://github.com/hepix-virtualisation/vmimagemanager
...For a more useful and uptodate application please look here.
https://github.com/hepix-virtualisation/vmimagemanager
vmimagemanager.py is a command line libvirt client and virtual machine image management pythonscript. It is intended for backing up snapshotting. It supports libvirt, mount (re)store images, booting virtual machines. Its simple and fast to use.
Simple pythonscript for keeping a backup set with an arbitrary frequency and any number of surviving snapshots. Uses the rsync reference directory feature to minimize space by using file hard links. Launch it from /etc/crontab.
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
Pybu is a backup script written in python that is intended for single machine backups e.g. dedicated servers. Planned main features include: incremental backups, ftp upload, and gpg encryption.
MediaBackup is an easy-to-use script for making incidental backups of your valuable files like images, music files, documents, etc. to CD or DVD. It does not and will not support scheduled backups and/or full system backups.
SoftCo: Enterprise Invoice and P2P Automation Software
For companies that process over 20,000 invoices per year
SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.