dupinanny | manage operation of the duplicity backup system | Continuous Backup library

by TTimo Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | dupinanny Summary

dupinanny is a Python library typically used in Backup Recovery, Continuous Backup, Minecraft applications. dupinanny has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However dupinanny build file is not available. You can download it from GitHub.

Dupinanny is a simple backup script that drives the duplicity [1] backup software. Duplicity is an encrypted bandwidth-efficient backup that supports a number of remote backends such as rsync, Amazon S3 and others. Dupinanny is released under the GPL, and the latest source code is available at [2]. Dupinanny was born out of my own need for an automated backup solution to be deployed on several of my systems. I wanted to do offsite, whole-system backups, to a windows-based remote storage running rsync.

Support

Quality

Security

License

Reuse

Support

dupinanny has a low active ecosystem.

It has 52 star(s) with 11 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dupinanny is current.

Quality

dupinanny has no bugs reported.

Security

dupinanny has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

dupinanny is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

dupinanny releases are not available. You will need to build from source code and install.

dupinanny has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed dupinanny and discovered the below as its top functions. This is intended to give you an instant insight into dupinanny implemented functionality, and help decide if they suit your requirements.

Run the backup .
Process backups .
Check if the lock is stale .
Read config file .
Acquire a lock .
Initialize the instance .
set command line options
Prepare mount .
Setup the target .
Context manager .

Get all kandi verified functions for this library.

dupinanny Key Features

No Key Features are available at this moment for dupinanny.

dupinanny Examples and Code Snippets

No Code Snippets are available at this moment for dupinanny.

Community Discussions

Trending Discussions on Continuous Backup

How to disable azure cosmos db continious backup

Consistency of Continuous backup of Azure Cosmos DB

Mongo atlas recommends cloud provider snaphots for backup - Is it effective?

QUESTION

How to disable azure cosmos db continious backup

Asked 2022-Feb-22 at 10:59

I enabled the Azure cosmos DB continuous backup for one of my Cosmos DBs.
How can I disable it? It just says you have successfully enrolled in continuous backup.

...

ANSWER

Answered 2022-Feb-22 at 10:59

I am not sure if you have seen this message in the portal when you created the account/also mentioned in the doc

"You will not be able to switch between the backup policies after the account has been created"

since you need to select either "Periodic" or "Continuous" at the creation of Cosmos Account, it becomes mandatory.

Update:

You will not see the above in portal anymore, you can Switch from "Periodic" to "Continous" on an existing account and that cannot be reverted. You can read more here.

Source https://stackoverflow.com/questions/69347197

QUESTION

Consistency of Continuous backup of Azure Cosmos DB

Asked 2021-Nov-25 at 17:15

What would be the consistency of the continuous backup of the write region if the database is using bounded staleness consistency? Will it be equivalent to strong consistent data assuming no failovers happened?

Thanks Guru

...

ANSWER

Answered 2021-Nov-25 at 17:15

Backups made from any secondary region will have data consistency defined by the guarantees provided by the consistency level chosen. In the case of strong consistency, all secondary region backups will have completely consistent data.

Bounded staleness will have data that may have stale or inconsistent data inside the defined staleness window (minimum 300 seconds or 100k writes). Outside of that staleness window the data will be consistent.

Data for the weaker consistency levels will have no guarantees for consistency from backups in secondary regions.

Source https://stackoverflow.com/questions/70099953

QUESTION

Mongo atlas recommends cloud provider snaphots for backup - Is it effective?

Asked 2020-May-19 at 10:12

MongoDB has deprecated the continuous back up of data. It has recommended using CPS (Cloud provider snapshots). As far as I understood, snapshots isn't really going to be effective compared to continuous backup coz, if system breaks, then we can only be able to restore the data till the previous snapshot which isn't gonna make the database up-to-date or close to it atleast.

Am I missing something here in my understanding?

...

ANSWER

Answered 2020-May-19 at 10:12

Cloud provider snapshots can be combined with point in time restore to give the recovery point objective you require. With oplog based restores you can get granularity of one second.

Source https://stackoverflow.com/questions/61886736

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dupinanny

You can download it from GitHub.
You can use dupinanny like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.